ISMRM 23rd Annual Meeting & Exhibition • 30 May - 05 June 2015 • Toronto, Ontario, Canada

Traditional Poster Session • Cancer
1075 -1076 Cancer: Other, Original Research
1077 -1091 Breast Cancer Technical
1092 -1108 Cancer: Preclinical Studies of Animal Models
1109 -1111 Cancer: Clinical & Preclinical Studies on New Contrast Mechanisms
1112 -1118 Tumor Therapy Response: Preclinical & Clinical (except Brain Tumor)
1119 -1121 Tumor Perfusion & Permeability Applications
1122 -1129 Cancer: Cells, Biopsy, Body Fluids
1130 -1146 Breast Cancer Clinical
1147 -1169 Cancer: Prostate
1170 -1173 Cancer: Other Cancer

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1075.   3D textural features of conventional MRI predict survival in childhood medulloblastoma
Ahmed E. Fetit1,2, Jan Novak2,3, Simrandip K. Gill2,3, Martin Wilson2,3, Andrew C. Peet2,3, and Theodoros N. Arvanitis1,2
1Institute of Digital Healthcare, WMG, University of Warwick, Coventry, West Midlands, United Kingdom, 2Birmingham Children's Hospital NHS Foundation Trust, Birmingham, West Midlands, United Kingdom, 3University of Birmingham, Birmingham, West Midlands, United Kingdom

There has been an increasing interest in childhood brain tumour characterisation using non-invasive MR image analysis methods, such as texture analysis (TA) over the past decade. However, much of this work focused on diagnostic classification of tumour types. This raises the question: If textural features could capture powerful patterns that aid the diagnosis of tumours, can they also be used to predict patients’ survival prognosis? Following diagnosis, determination of prognosis is an important step in tumour management, with implications that determine treatment options. In this regard, the primary aim of this study was to determine whether three-dimensional TA of conventional MR images could predict the survival of paediatric medulloblastoma – the most common malignant brain tumour occurring in childhood.

1076.   Hyperpolarized 13C diffusion MRS of copolarized pyruvate and fumarate detects evidence for increased lactate export in 8932 pancreas carcinoma cells compared to MCF-7 cells
Benedikt Feuerecker1, Markus Durst2, Dieter Saur3, Marion I Menzel4, Markus Schwaiger1, and Franz Schilling1
1Nuclear Medicine, Technische Universität München, Munich, Bavaria, Germany, 2GE Global Research, Munich, Germany, 3Internal Medicine, Technische Universität München, Munich, Bavaria, Germany, 4GE Global Research, Garching, Bavaria, Germany

Upregulation of glycolysis in tumors results in increased lactate concentrations in both intra- and extratumoral areas, the latter leading to an acidification of the tumor microenvironment. Hyperpolarized 13C-labelled metabolic tracers can be used to probe fast metabolic pathways in real-time, however little has been known from these measurements about their presence in intra- or extracellular compartments. In this study we demonstrated that a combination of copolarized C-13 labeled pyruvate and fumarate with ADC measurements holds promise for localizing necrosis and assessing lactate export rate, a parameter that has been shown to correlate with tumor aggressiveness.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1077.   High spatial resolution DWI for evaluation of breast tumor early treatment response: Association of ADC changes with pCR
Lisa J Wilmes1, Wei-Ching Lo1, Wen Li1, David C Newitt1, Suchandrima Banerjee2, Evelyn Proctor1, Emine U Saritas3, Ajit Shankaranarayanan2, and Nola M Hylton1
1University of California San Francisco, San Francisco, CA, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Bilkent University, Ankara, Turkey

This work measured tumor ADC using a high resolution reduced field of view diffusion weighted imaging (HR-DWI) technique and investigated the resultant tumor apparent diffusion coefficient (ADC) metrics as predictors of pathologic complete response (pCR) in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. For early percent change in tumor ADC a trend of increasing AUC with decreasing percentile ADC was observed. Additionally, at the early treatment time point the AUCs for the lower percentile tumor ADC were higher than for the early tumor volume change.

1078.   Non-Cartesian Compressed Sensing with Fat/Water Decomposition: Feasibility Study for High Performance Breast DCE-MRI
Jorge E Jimenez1, Leah C Henze Bancroft1, Roberta M Strigel1,2, Kevin M Johnson1, Scott B Reeder2,3, and Walter F Block1,3
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin School of Medicine and Public health, Madison, WI, United States, 3Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States

Successful MR methods must combine capabilities for rapid acquisition, reliable fat suppression, and significant data undersampling. We present our experience in making three MR technologies mutually compatible: IDEAL signal decomposition, L1-based compressed sensing (CS) reconstruction, and a 3D radial trajectory; Vastly undersampled Isotropic Projection (VIPR). We successfully demonstrate incorporation of IDEAL and CS to 3D T1-Weighted VIPR breast MRI capable of providing high isotropic resolution. The addition of CS markedly improved image quality and SNR. Further study is necessary to determine the lower limit of the temporal footprint the method will support.

1079.   Breast DCE with Fat Suppression: Enabling Quantitative Measurements
Maria A Schmidt1, Eva Kousi1, Araminta Ledger1, Erica Scurr2, Cheryl Richardson2, Georgina Hopkinson2, Elizabeth O'FLynn1, Steven Allen2, Romney Pope2, Robin Wilson2, and M Leach1
1CR-UK and EPSRC Cancer Imaging Centre, Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Sutton, Surrey, United Kingdom, 2Department of Radiology, Royal Marsden NHS Foundation Trust, Chelsea, London, United Kingdom

Breast Dynamic Contrast-Enhanced (DCE) examinations are usually performed with fat suppression, providing qualitative enhancement curves. In contrast, pharmacokinetic modelling often uses spoiled gradient-echo images and a proton density weighted image as a reference to calculate T1 values. It would be desirable to calculate T1 values from fat suppressed clinical DCE examinations to quantify contrast-agent uptake in longitudinal studies and to assess parenchymal enhancement. In this work we introduce a reference image of low flip angle and a calibration process, and evaluate the accuracy of T1 values thus obtained. T1 measurements are viable in fat suppressed breast DCE.

1080.   A Quadrant-Based Quantitative Analysis of Background Parenchymal Enhancement in Breast MRI
Ella F Jones1, Natalie Hartman1, Helen Park1, Ania Azziz1, David C Newitt1, John Kornak2, Catherine Kilfa1, Bonnie N Joe1, and Nola M Hylton1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States

This work presents a systematic quadrant-based analysis of background parenchymal enhancement (BPE) in 172 patients with BI-RADS 1 (normal) or 2 (benign). The goal is to investigate if regional variations in BPE will influence the corresponding qualitative BI-RADS BPE assessment.

1081.   High-resolution Proton Density weighted Dixon sequences maximize precision of breast density measurements
Araminta EW Ledger1, Maria A Schmidt1, Marco Borri1, Erica D Scurr2, Julie Hughes2, Alison Macdonald2, Toni Wallace2, Robin Wilson2, and Martin O Leach1
1CR-UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom, 2Radiology, The Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom

Percent-water (%Water) calculated from Dixon fat-water separation techniques can provide a volumetric measurement of breast density, an established risk factor for breast cancer. In this work, we calculate breast %Water in repeat volunteer datasets to evaluate measurement reproducibility from a high-resolution proton-density (PD) weighted two-point Dixon sequence, and assess the error arising at lower spatial resolution and with T1/T2 weighting. %Water measurements from high-resolution PD weighted sequences are found to be highly reproducible. Statistically significant differences in %Water measurement arise at lower spatial resolutions and with the introduction of T1 or T2 weighting, even with correction for fat/water signal differences.

1082.   Modelling vasculature and cellular restriction in breast tumours using diffusion MRI
Colleen Bailey1, Sarah Vinnicombe2, Eleftheria Panagiotaki1, Shelley A Waugh2, John H Hipwell1, Patsy Whelehan2, Sarah E Pinder3, Andrew Evans2, Daniel C Alexander1, and David J Hawkes1
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Dundee Cancer Centre, Ninewells Hospital and Medical School, Dundee, United Kingdom, 3Breast Research Pathology, Research Oncology, King's College London and Guy's Hospital, London, United Kingdom

We have examined regions of breast tumours using diffusion MRI and fitting to compartment models that characterize diffusion in the vascular, extracellular and intracellular spaces. These were compared with monoexponential apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and tensor models. In the tumour center, diffusion ADC and IVIM best explained the data, while tumour rim was best characterized by a 3-compartment model including isotropic restricted diffusion for the intracellular component. This was in agreement with the low cellularity in the tumour center and higher cellularity in the rim observed on histology.

1083.   Clinical Experience of Acquiring Both High Spatial and High Temporal Resolution Breast Dynamic Datasets Utilising a Differential Subsampling with Cartesian Ordering k-space Acquisition Scheme
Martin D Pickles1, Dan W Rettmann2, Kang Wang3, and Lindsay W Turnbull1
1Centre for Magnetic Resonance Investigations, Hull York Medical School at University of Hull, Hull, East Yorkshire, United Kingdom, 2Global MR Applications and Workflow, GE Healthcare, Rochester, MN, United States, 3Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States

The aim of this work is to report initial clinical experience of DIfferential Subsampling with Cartesian Ordering (DISCO) dynamic breast examinations. In DISCO k-space is divided into central and outer portions. The outer portion of k-space is segmented into a number of equal distributions regions via a pseudo-random segmentation scheme. The central portion of k-space is sampled every temporal frame while the outer edges are subsampled sequentially. Temporal resolution is minimised by implementing view-sharing. The results of this work demonstrate that by utilising DISCO both high spatial and high temporal resolution dynamic sequences are possible.

1084.   Modulated Flip Angle Single Shot Fast Spin Echo: A Potential Means for Rapid T2W Breast Imaging
Martin D Pickles1, Daniel Litwiller2, Ersin Bayram3, Lloyd Estkowski4, and Lindsay W Turnbull1
1Centre for Magnetic Resonance Investigations, Hull York Medical School at University of Hull, Hull, East Yorkshire, United Kingdom, 2Global MR Applications and Workflow, GE Healthcare, Rochester, MN, United States, 3Global MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 4Global MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States

The aim of this work is to develop a T2W flip angle modulation SSFSE protocol. In breast MRI, FSE images are frequently utilised to acquire T2W images. SSFSE represents an ultrafast sequence where efficiencies in scan time could be made, however, SSFSE images are associated with blurring. Refocusing flip angle modulation has recently been utilised with SSFSE, benefits include, faster acquisitions and improved sharpness by limiting T2 decay. In this work T2W fat nulled SSFSE images were acquired in 70 seconds and provide radiologists with the same T2 information available in longer FSE based sequences.

1085.   T1 Mapping of Human Breast Tissue using T1, T2 and PD Weighted MRI Images at 3T
Anup Singh1, Prativa Sahoo2, Vedant Kabra3, Indrajit Saha2, Meenakshi Singhal3, and Rakesh Kumar Gupta3
1Center for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India, 2Philips India Limited, Gurgaon, Haryana, India, 3Fortis Memorial Research Institute, Gurgaon, Haryana, India

Objective of the current study was to obtain T1 mapping of in vivo human breast using conventional 3D T1, T2 and PD weighted images and comparing the results of with and without fat saturation. T1 is an important parameter and its estimation is usually required during quantitative analysis, particularly during DCE-MRI data analysis. This simple approach, based upon conventionally acquired T1, T2 and PD weighted images, provided absolute quantitation of T1 in in vivo breast tissue. In the current study, we have shown that three data point (PD, T2 and T1 W) based approach for T1 estimation works well for both with and without fat saturation.

1086.   Automatic segmentation of breast images using clustering and dynamic programming
José Angel Rosado-Toro1, Tomoe Barr2, Marilyn T Marron3, Jean-Phillipe Galons4, Patricia Thompson3, Alison Stopeck3, Jeffrey Joel Rodríguez5, and María I Altbach4
1Electrical and Computer Engineering, University of Arizona, Tucson, Arizona, United States, 2Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 3Arizona Cancer Center, University of Arizona, Tucson, Arizona, United States, 4Medical Imaging, University of Arizona, Tucson, Arizona, United States, 5Electrical and Computer Engineering, University of Arizona, Tucson, Arizon, United States

A fully automated breast segmentation algorithm has been developed to segment the breast anatomy using various types of imaging pulse sequences. The segmentation first finds the chest and breast pixels using a clustering technique. Next it removes the chest pixels using a dynamic programming technique on the vertical gradient. Then it removes the skin pixels using a thinning algorithm and finally it splits the two breasts using a morphological technique. The performance of the algorithm is evaluated on 202 breast imaging slices using manually traced breast outlines as reference.

1087.   Correlation of 3D MR-Based Percent Breast Density with Apparent Diffusion Coefficient of the Breast Fibroglandular Tissue
Jeon-Hor Chen1,2, Hon J Yu1, Yifan Li1, Yoon Jung Choi3, Po Yun Huang4, and Min-Ying Su1
1Center for Functional Onco-Imaging, University of California, Irvine, CA, United States, 2Department of Radiology, Eda Hospital and I-Shou University, Kaohsiung, Taiwan, 3Department of Radiology, Kangbuk Samsung Hospital, Seoul, Korea, 4Department of Medical Imaging, China Medical University, Taichung, Taiwan

This study investigated the association of 3D MR-based breast density with apparent diffusion coefficient (ADC) acquired from the fibroglandular tissue of the breast. MR images from the contralateral normal breast of 38 women diagnosed with unilateral breast cancer were retrospectively analyzed. The results from our study noted a positive correlation of ADC values with MR-measured percent breast density. This study proved that women with higher breast density had higher stromal matrix, which can be assessed using ADC.

1088.   A Comparison of Breast Tissue T1 Mapping Using Conventional Multi-flip Angle and 2-point Dixon Techniques
Reem Bedair1, Mary McLean2, Andrew Patterson3, Roie Manavaki1, John Griffiths2, Fiona Gilbert1, and Martin Graves3
1University of Cambridge, Department of Radiology, Cambridge, Cambridgeshire, United Kingdom, 2Cancer Research UK Cambridge Research Institute, Cambridge, Cambridgeshire, United Kingdom, 3Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, United Kingdom

T10 mapping acquisitions of quantitative DCE-MRI is generally performed without fat suppression. Recent studies have used 2-point Dixon (2PD) reconstruction as a time-effective method for obtaining robust water-only images. This work compares the pre-contrast T10 relaxation times obtained using a conventional non-fat suppressed multiple flip angle technique with a fat-suppressed 2PD method in a cohort of patients with locally advanced breast cancer at 3.0T. Our results show an increase in the T1 measurement of fibroglandular tissue on fat suppression. However, the mean T10 values in tumours decrease. Our study demonstrates the feasibility of rapid fat-suppression techniques for quantitative DCE-MRI analysis.

1089.   Optimisation of b-value Distribution for Intravoxel Incoherent Motion (IVIM) Imaging of Breast Cancer with Clinical Results
Nina L. Purvis1, Peter Gibbs2, Martin D. Pickles2, and Lindsay W. Turnbull2
1Centre for MR Investigations, Hull York Medical School, Hull, East Yorkshire, United Kingdom, 2Centre for MR Investigations, University of Hull at HYMS, Hull, East Yorkshire, United Kingdom

An investigation to find an optimised clinical b-value protocol for IVIM imaging in breast lesions and its application. B-value schemes were generated using exponential and power-law spacing then the Cramer-Rao Lower Bound of IVIM parameters was calculated. A b-value scheme was chosen based on a figure of merit to balance the relative errors of the parameters. Data was fitted using mono and bi-exponential models. The RMSEs indicated that the biexponential fit was better. The results agree well with previously reported values. The b-value scheme samples low b-values well, and allows an acceptable amount of NEX for a short scan duration.

1090.   Highly Accelerated DCE-MRI Pharmacokinetic map Estimation through frequency domain based Tofts model (HAET)
Nithin N Vajuvalli1, C K Dharmendra Kumar1, Manoj G Bhosale1,2, and Sairam Geethanath1
1Medical Imaging Research Centre, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India, 2Government College of Engineering (COEP), Pune, Maharastra, India

DCE-MRI is used to assess tumor perfusion, microvascular vessel wall permeability and extravascular–extracellular volume fraction. Tofts Model (TM) in Time Domain (TD) is computationally intensive for 3D data to obtain Pharmacokinetic (PK) map using curve fitting. The current work involves acceleration of curve fitting process for the computation of PK map using Frequency Domain (FD) based TM. Current work was demonstrated on seven breast DCE datasets. Result show reduced computational time for estimating PK map and reduced NRMSE values in FD as compared to TD tofts model with respect to randomly generated ground truth and in vivo data.

1091.   Design of a Spatially Varying Saturation Pulse through Least-Squares
Tse Chiang Chen1 and Philip Beatty1
1Medical Biophysics, University of Toronto, Toronto, ON, Canada

Clean fat saturation in breast imaging remains challenging. While spectral fat saturation is commonly used for saturation, it is susceptible to field inhomogeneity. The optimization of RF pulses with a given trajectory in k-space may serve to bend spectral selections in space, thereby covering field inhomogeneity more effectively.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1092.   Monitoring cancer treatment: quantitative MRI of tumor micro-structure and metabolism with chemical exchange saturation transfer and diffusion weighted MRI
Rozhin Yousefi1, Xiaoyong Huang2, Stanley K. Liu2, and Greg J. Stanisz1,2
1Medical Biophysics, University of Toronto, Toronto, Ontario, Canada, 2Sunnybrook Research Institute, Toronto, Ontario, Canada

In recent years, the number of available treatment modalities for cancer has increased significantly while their effectiveness remains uncertain. Finding a non-invasive imaging method to provide early assessment of tumor response to therapy will significantly enhance treatment outcome. Our proposed method is to apply quantitative MRI (qMRI) to evaluate tumor micro-structure and metabolism during treatment using two MRI techniques: chemical exchange saturation transfer (CEST) and diffusion weighted MRI (DW-MRI). In vivo experimental results showed significant differences in qMRI measurements of tumors including apparent diffusion coefficient (ADC) and amine CEST peak, before and after treatment.

1093.   Determination of Tumor Response to Hypoxia-Activated Prodrug TH-302 in Rat Glioma Models
Ashley M Stokes1, Charles P Hart2, and C. Chad Quarles1
1Institute of Imaging Science, Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 2Threshold Pharmaceuticals, California, United States

Tumor hypoxia leads to increased tumor aggressiveness and chemotherapeutic resistance, which has led to the development of hypoxia-activated cytotoxic prodrugs, such as TH-302. As tumor hypoxia is spatially heterogeneous, and thus response to TH-302 is expected to vary spatially, there is a need for imaging-based measures of treatment response. Here, we determined tumor response to TH-302 in two rat glioma models with known differences in tumor hypoxia, and functional diffusion mapping was used to quantify treatment-induced changes in diffusion characteristics that could be indicative of response to hypoxia activated drugs such as TH-302.

1094.   Multimodal Imaging of a Mouse Model of Colorectal Carcinoma Metastasis in the Liver
Rajiv Ramasawmy1,2, Sean Peter Johnson1,2, Thomas Anthony Roberts1, Daniel J Stuckey1, Anna L David3, Rosamund Barbara Pedley2, Mark Francis Lythgoe†1, Bernard Siow†1, and Simon Walker-Samuel†1
1Centre for Advanced Biomedical Imaging, University College London, London, Greater London, United Kingdom, 2Cancer Institute, University College London, London, Greater London, United Kingdom, 3Institute for Women's Health, University College London, London, Greater London, United Kingdom

Orthotopic tumor models are thought to provide a more clinically-representative model of disease than traditional subcutaneous implantations, although their siting often renders them more difficult to assess. In this study, we compared 1T “benchtop” MRI and ultrasound with our gold-standard techniques of bioluminescence imaging (for cell detection) and 9.4T MRI (for tumour volume assessment) in their ability to characterise the development of liver metastases over four weeks. No significant differences were observed in the measured tumour doubling, showing that each of these techniques can be used for characterising tumour growth in deep-sited tumours, although each has characteristic advantages and disadvantages.

1095.   In Vivo Magnetic Resonance Elastography in Pediatric Brain Tumor Models
Jessica K.R. Boult1, Jin Li1, Yann Jamin1, Maria Vinci2,3, Sergey Popov2,3, Karen Barker4, Zai Ahmad4, Craig Cummings1, Suzanne A Eccles3, Jeffrey C Bamber1, Ralph Sinkus5, Louis Chesler4, Chris Jones2,3, and Simon P Robinson1
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom, 3CR-UK Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom, 4Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom, 5Division of Imaging Sciences & Biomedical Engineering, Kings College London, London, United Kingdom

Refined imaging strategies that could improve diagnosis and management of children with brain malignancies are urgently required. MR elastography (MRE) has been used to assess viscoelastic properties in the brain and brain tumors clinically and preclinically. We evaluated orthotopic D-212 MG pediatric glioblastoma xenografts and GTML/Trp53KI/KI transgenic medulloblastomas using MRE. Both tumor types demonstrated reduced elasticity (Gd) and viscosity (Gl) relative to the surrounding brain. A bimodal distribution of Gd, not seen previously, was observed in GTML/Trp53KI/KI tumors. These data reinforce the potential of MRE for the detection and differential diagnosis of pediatric brain malignancies based on their mechanical properties.

1096.   High-resolution MRI analysis of breast cancer xenografts on the CAM @ 11.7T
Zhi Zuo1,2, Tatiana Syrovets3, Felicitas Genze3, Alireza Abaei2, Genshan Ma4, Thomas Simmet3, and Volker Rasche1,2
1Internal Medicine II, University Hospital Ulm, Ulm, Baden-Wurttemberg, Germany, 2Core Facility Small Animal MRI, Medical Faculty, Ulm University, Ulm, Baden-Wurttemberg, Germany,3Institute of Pharmacology of Natural Products and Clinical Pharmacology, Ulm University, Ulm, Baden-W¨¹rttemberg, Germany, 4Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, Jiangsu, China

High-resolution in ovo imaging is employed for monitoring the growth of human breast cancer cells grafted on the chorioallantonic membrane of chick embryos. High-resolution imaging is achieved by using an age-adopted precooling regime for immobilization of the chick embryo. The proposed scheme is proven safe for the chick embryo showing same survival rates as in a control group. The high-resolution MRI enables quantification of the tumor xenografts starting from d4 after grafting. A good correlation between tumor volumes derived by MRI and the weight of the tumor after extraction is shown.

1097.   OKN-007 decreases tumor necrosis and tumor cell proliferation and increases apoptosis in a pre-clinical F98 rat glioma model
Rheal A. Towner1, Patricia Coutinho De Souza1, Krithika Balasubramanian2, Charity Njoku1, Nataliya Smith1, David L. Gillespie3, Andrea Schwager4, Osama Abdullah5, Kar-Ming Fung6, Debra Saunders1, and Randy L. Jensen3
1Advanced Magnetic Resonance Center, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States, 2Radiology & Biomedical Imaging, University of California San Francisco, CA, United States, 3Huntsman Cancer Insitute, University of Utah Health Sciences Center, UT, United States, 4Neurobiology & Anatomy, University of Utah Health Sciences Center, UT, United States, 5Small Animal Core Facility, University of Utah, UT, United States, 6Pathology, University of Oklahoma Health Sciences Center, OK, United States

Gliomas are the most lethal adult primary brain tumors with a poor outcome. Here, we report the effects of OKN-007 on the necrotic tumor core and non-necrotic tumor parenchyma in the F98 rat glioma model assessed by 1H-MRSI, DWI, and histological analysis. Our results that OKN-007 was able to reduce necrosis and tumor cell proliferation. There was also an increase in apoptosis following OKN-007 treatment which seemed to correlate with spectroscopic lipid peak assessments. Our results also indicated that both ADC and spectroscopic choline measures are related to glioma cell density in the F98 rat glioma model.

1098.   Oxidative ketone body metabolism in rat brain tumors and the effect of the ketogenic diet: evidence from in vivo 1H-[13C] MRS
Henk M. De Feyter1, Kevin L. Behar2, Kevan L. Ip1, Fahmeed Hyder1, Lester L. Drewes3, Robin A. de Graaf1, and Douglas L. Rothman1
1Department of Diagnostic Radiology, Yale University, New Haven, Connecticut, United States, 2Department of Psychiatry, Yale University, CT, United States, 3Department of Biomedical Sciences, University of Minnesota, MN, United States

The ketogenic diet (KD; fat, protein, no carbohydrates) creates a plasma nutrient profile similar to starvation: increased levels of ketone bodies and reduced plasma glucose levels, and has been proposed as metabolic therapy for brain tumors. Brain tumor cells supposedly cannot oxidize ketone bodies for energy metabolism in contrast to normal brain cells, and therefore the KD would result in starving of glucose-dependent brain tumors. We investigated the capability of glioma cells to oxidize beta-hydroxybutyrate, the most abundant ketone body, using 13C magnetic resonance spectroscopy. 9L and RG2 glioma cells were studied both in vitro and in vivo while administering [2,4-13C2]- beta-hydroxybutyrate.

1099.   MnMRI of Pancreatic Cancer
Lara Leoni1, Martin Andrews2, Chin-Tu Chen3, Barry Lai4, and Brian B. Roman5
1University of Chicago, Chicago, Il, United States, 2University of Chicago, IL, United States, 3Radiology, University of Chicago, IL, United States, 4Argonne National Laboratory, IL, United States, 5radiology, university of chicago, Chicago, Illinois, United States

We have developed a MnMRI approach to detecting pancreatic cancer in a murine model of human disease. We utilized bioluminesence, MRI and XFM imaging to determine the uptake of Mn by developing tumors. T1 maps of the lesions indicated a decrease due to Mn accumulation.

1100.   Intravoxel Incoherent Motion Diffusion Weighted Imaging(IVIM-DWI) on a mouse xenografts model of human nasopharyngeal carcinoma CNE-2 cell line: A preliminary study on 3.0T MRI
Youping Xiao1, Yunbin Chen1, Jianji Pan2, Ying Chen1, Yiqi Yao1, Xiang Zheng1, Xiangyi Liu1, Dechun Zheng1, and Weibo Chen3
1Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China, 2Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China, 3Philips Healthcare, Shanghai, China

The results of this present study shows that intravoxel incoherent montion diffusion weighted imaging(IVIM-DWI) derived parameters present a good producibility and feasibility on xenografts of human nasopharyngeal carcinoma(NPC) cell line CNE-2 which have a significant higher D(pure diffusion coefficient) and a lower f(fraction of perfusion) parameter. It is indicated that IVIM-DWI would be valuable in helping evaluate the micro-environment characteristic of diffusion and perfusion in NPC's xenograft, especially during the process of chemoradiotherapy.

1101.   Mechanical characterization of a mouse GL261 glioma model using MR elastography
Jing Guo1, Simon Bayerl2, Jürgen Braun3, Peter Vajkoczy2, and Ingolf Sack4
1Radiology, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany, 2Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany, 4Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

MR elastography (MRE) was performed to study the viscoelasticity of glioblastoma (GB) in the GL261 mouse model. We found that the magnitude of the complex shear modulus |G*| of the tumor was significantly reduced while the phase angle showed a large heterogeneity of values compared to healthy brain tissue. Our results corroborate clinical studies of MRE in GB and raise the prospect of assessing tumor malignancy by tissue mechanical constants.

1102.   MR characterization of a syngeneic orthotopic ovarian tumor model
Marie-France Penet1, Balaji Krishnamachary1, Flonné Wildes1, Yelena Mironchik1, Chien-Fu Hung2, TC Wu2, and Zaver M Bhujwalla1
1JHU ICMIC Program, Division of Cancer Imaging Research, The Russell H Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States,2Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Epithelial ovarian cancer remains the leading cause of death from gynecologic malignancy among women in developed countries. Identifying mechanisms that drive the aggressiveness of ovarian cancers and its associated pathologies, such as the formation of metastases and the build-up of ascitic fluid, is urgently needed to provide new targets in effective control and treatment. Noninvasive magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) provide opportunities to characterize the tumor microenvironment and to assess its relationship with ascites and metastases. We applied MRI and MRSI to better characterize ascites formation in a syngeneic orthotopic experimental model of ovarian cancer.

1103.   MRI accurately identifies early murine mammary cancers and reliably differentiates between in situ and invasive cancer: Correlation of MRI with histology
Devkumar Mustafi1, Erica Markiewicz1, Marta Zamora1, Xiaobing Fan1, Jeffrey Mueller2, Suzanne D Conzen3, and Gregory S Karczmar1
1Radiology, The University of Chicago, Chicago, IL, United States, 2Pathology, The University of Chicago, Chicago, IL, United States, 3Medicine, Section of Hematology and Oncology, The University of Chicago, Chicago, IL, United States

Precise MRI-histopathology correlation demonstrates that MRI accurately identifies mammary cancer at various stages of development in the widely used C3(1)SV40Tag mouse model, and provides a tool for the development of image-based markers that differentiate indolent from aggressive cancer. 96% of in situ and 100% of invasive cancers identified on in vivo MRI agreed with histology. Methods described here will allow investigators to develop better MRI-based markers for tumor progression, improve understanding of cancer initiation and progression, evaluate response to therapy in murine models of breast cancer, and provide valuable insights regarding clinical management of patients with early breast cancers.

1104.   Validation of anti-VEGF Therapy in a Radiation Necrosis Mouse Model
Carlos J Perez-Torres1, Liya Yuan2, Robert E Schmidt3, Keith M Rich2, Robert E Drzymala4, Joseph JH Ackerman1,5, and Joel R Garbow1
1Radiology, Washington University, Saint Louis, MO, United States, 2Neurosurgey, Washington University, Saint Louis, MO, United States, 3Neuropathology, Washington University, Saint Louis, MO, United States, 4Radiation Oncology, Washington University, Saint Louis, MO, United States, 5Chemistry, Washington University, Saint Louis, MO, United States

The use of anti-VEGF antibodies represents a new treatment approach for radiation necrosis. We present a timeline of VEGF expression and test the effectiveness and specificity of anti-VEGF antibody treatment in our mouse model of radiation necrosis. While the anti-VEGF antibody treatment has an effect on the extent of injury, it does not reduce VEGF expression. The persistence of VEGF could lead to the recurrence of injury once treatment is stopped.

1105.   Correlation of Quantitative MRI-derived Tumor Characteristics with Histology in Breast Cancer Murine Models
Anna G Sorace1,2, Stephanie L Barnes1,2, Jennifer G Whisenant1,2, Mary E Loveless1, and Thomas E Yankeelov1,2
1Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States

This study evaluated the relationship between the apparent diffusion coefficient (ADC), the extravascular extracellular volume fraction (ve), and quantitative histology measurements using two preclinical breast cancer models, BT474 and MDA-MB-231. Quantitative imaging biomarkers can reveal treatment response, however better validation of the techniques needs to occur prior to translation. While ADC reveals significant correlations with the extracellular space in both preclinical models, this data adds to the growing body of literature which suggests that ve is not a reliable biomarker of extracellular space.

1106.   Importance of characterizing water content in quantifying metabolites in pancreatic cancer and normal pancreas
Marie-France Penet1, Balaji Krishnamachary1, Tariq Shah1, Yelena Mironchik1, Anirban Maitra2, and Zaver M Bhujwalla1
1JHU ICMIC Program, Division of Cancer Imaging Research, The Russell H Morgan Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States,2MD Anderson Cancer Center, The University of Texas, TX, United States

There is a critical need for identifying and developing new noninvasive biomarkers and therapeutic targets in pancreatic cancer. We recently observed aberrant choline metabolism in subcutaneous and orthotopically implanted human pancreatic cancer xenografts using 1H MR spectroscopic imaging. However, high-resolution proton spectra of tumors and pancreatic tissue extracts normalized to the water signal assuming similar water content did not reflect the significantly increased total choline observed in vivo. Our purpose here was to determine the differences in water content between pancreatic tumors and the pancreas to accurately quantify differences in metabolism when using the water signal for normalization.

1107.   Evaluation of nanoparticle accumulation and treatment efficacy for a combined heavy-ion-beam irradiation and drug-delivery tumor therapy
Daisuke Kokuryo1, Eiji Yuba2, Kenji Kono2, Tsuneo Saga1, and Ichio Aoki1
1Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Chiba, Japan, 2Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan

A combination treatment using carbon-ion-beam irradiation and multimodal thermo-sensitive polymer-modified liposomes (MTPLs) containing contrast agents and anti-cancer drug was developed. The accumulation and treatment effects of the MTPLs were evaluated in in vivo experiments on subcutaneously xenografted tumor model mice. MTPLs accumulated in the tumor region regardless of the influence of carbon-beam irradiation and the efficacy of the combination treatment increased after heat-triggering of drug release. It was concluded that the proposed strategy provided an effective anti-cancer treatment.

1108.   NMR based pharmacometabolomics for evaluating the drug response of polyherbal formulations
Gaurav Sharma1, Somenath Ghatak1, Arun Kumar Verma2, Thirumurthy Velpandian3, and Rama Jayasundar1
1NMR, All India Institute of Medical Sciences, New Delhi, Delhi, India, 2Biotechnology, All India Institute of Medical Sciences, New Delhi, Delhi, India, 3Pharmacology, All India Institute of Medical Sciences, New Delhi, Delhi, India

Although single molecule drugs remain the focus of drug development, polyherbal formulations are evoking interest due to their synergistic activity, low toxicity and multitargeting potential. The objective of this study is to evaluate the pharmacometabolic response of chick Chorio-Allantoic Membrane (CAM) to polyherbal formulations using high resolution NMR and also assess their antiangiogenic potential using CAM assay. The significant inhibition of neovascularization by the formulations comparable to that of the synthetic chemotherapy drug thalidomide, was reflected in both the CAM assay and NMR spectral data. In the latter, it showed as significant reduction in choline, pyruvate, and lactate peaks.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

Relaxation along fictitious field, diffusion weighted imaging, and T2 mapping of prostate cancer: correlation of quantitative values with Gleason score
Ivan Jambor1, Marko Pesola1, Harri Merisaari2, Pekka Taimen3, Peter J Boström4, Timo Liimatainen5, and Hannu J Aronen1
1Department of Diagnostic Radiology, University of Turku, Turku, Finland, 2Turku PET Centre, University of Turku, Turku, Finland, 3Department of Pathology, Turku University Hospital, Turku, Finland, 4Department of Urology, Turku University Hospital, Turku, Finland, 5Department of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland

Fifth-one patients with histologically confirmed PCa underwent 3T MRI consisting of relaxation along fictitious field (RAFF), diffusion weighted imaging (DWI), b valeus of 0, 100, 300, and 500 s/mm2, and T2 mapping. Using whole mount prostatectomy sections and anatomical T2-weighted images as reference, one ROI was placed in the center of PCa area and the same sized ROI in the peripheral zone, and central gland not containing PCa. High spearman correlation coefficient value of -0.68 was found for correlation of RAFF relaxation values with Gleason score groups, outperforming DWI (ADCm) and T2 mapping.

1110.   Repairing the Brain with Physical Exercise: Insights from Cortical Thickness Analysis of An Exercise Trial in Pediatric Brain Tumor Survivors
Kamila U Szulc1, Ade Oyefiade2, Lily Riggs1,2, Eric Bouffet3,4, Suzanne Laughlin5, Brian W Timmons6, Jason P Lerch7, Cynthia B de Medeiros2, Jovanka Skocic1, and Donald J Mabbott1,2
1Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada, 2Department of Psychology, Hospital for Sick Children, Toronto, Ontario, Canada, 3Division of Haematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada, 4Department of Pediatrics, Hospital for Sick Children, Toronto, Ontario, Canada, 5Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada, 6Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada, 7Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada

Cranial radiation is a standard form of treatment for malignant brain tumors. While radiation increases survival rates, it also leads to long-term cognitive impairments and neurodegeneration. Unfortunately, there is no cure or standard of care for these treatment-related effects. Recently, there have been a growing number of studies showing the benefits of physical activity for the brains of healthy children, but its potential as a rehabilitative technique remains unknown. We conducted a 12-week program to examine whether aerobic exercise can stimulate brain repair processes in pediatric brain tumor survivors treated with cranial radiation. Specifically, we examined the effects of exercise on cortical thickness.

1111.   Manganese-enhanced MRI of minimally gadolinium-enhancing breast tumors
Hai-Ling Margaret Cheng1,2, Tameshwar Ganesh2, Reza Bayat Mokhtari3, Mosa Alhamami2, and Herman Yeger3
1Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada, 2Physiology & Experimental Medicine, Hospital for Sick Children, Toronto, Ontario, Canada, 3Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada

Contrast-enhanced MRI is as essential component of oncological imaging. However, tumors with low vascularity, such as some low-grade gliomas, or ones that become non-enhancing following antiangiogenic treatment, may not enhance appreciably relative to surrounding normal tissue. In this study, we investigate the potential of manganese (Mn)-enhanced MRI for sensitive detection of tumors that demonstrate little enhancement on Gd-DTPA. Results in tumor-bearing rats demonstrated MnCl2 administration achieved greater and more uniform enhancement throughout the tumor mass (i.e. was not restricted to tumor periphery). Histology confirmed very low vascularity, and necrotic areas were well delineated only on Mn-enhanced MRI.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1112.   Investigating pH and other effects of a proton pump inhibitor (PPI) in cancer models with 31P magnetic resonance
Gopal Varma1, Xiaoen Wang1, Han Xie2, Gerburg Wulf3, Pankaj Seth2, David C Alsop1, Aaron K Grant1, and Vikas P Sukhatme2
1Radiology, Division of MR Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States, 2Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States, 3Division of Hematology and Oncology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States

Proton pump inhibitors (PPIs) hold potential for treatment of cancer treatment by disrupting the transport of excess hydrogen ions out of cancer cells that maintains a normal intracellular pH and forms an acidic extracellular environment. The effect of a PPI combination on preclinical models of breast and non-small cell lung cancer was studied using slice-selective 31P spectroscopy through the tumor up to 40 minutes post drug injection. Intracellular pH decreased significantly following treatment. In addition, a more significant increase in Pi/γATP ratio from pre- to post-injection periods was observed.

1113.   19F MRSI of capecitabine in the liver using broadband TxRx antennas and dual-frequency excitation pulses at 7T
Jetse van Gorp1, Peter Seevinck1, Anna Andreychenko2, Alexander Raaijmakers2, Peter Luijten3, Miriam Koopman4, Vincent Boer3, and Dennis Klomp3
1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Utrecht, Netherlands, 2Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Utrecht, Netherlands,3Department of Radiology, University Medical Center Utrecht, Utrecht, Utrecht, Netherlands, 4Department of Medical Oncology, University Medical Center Utrecht, Utrecht, Utrecht, Netherlands

In this work, the feasibility to detect orally administered chemotherapy (capecitabine) in the liver was investigated at a clinical 7T MR system. The system was equipped with a broadband radiative antenna to acquire both 1H and 19F signal, and dual-frequency excitation pulses were implemented to overcome excitation issues. Pulse acquire and 3D spectroscopic imaging 19F spectra were successfully acquired in two patients at 1 and 10 hours after drug intake. The results show that it is feasible to monitor chemotherapy metabolism at 7T in the human body.

1114.   Mean-Shift Clustering for Assessing Response Heterogeneity in Bone Metastases
Sarah Ann Mason1, Nina Tunariu1, Dow-Mu Koh1, David J Collins1, Martin O Leach1, and Matthew D Blackledge1
1Institute of Cancer Research and Royal Marsden Hospital, Sutton, Surrey, United Kingdom

No single MR sequence can fully represent the underlying biology in bone metastases, which necessitates that clinicians employ complementary image data for disease diagnoses, response assessments, and treatment decisions. The sheer volume of data can make image interpretation complex and overwhelming. We introduce a method for consolidating information by identifying like regions in the bone (e.g. active disease) based on a mean-shift analysis of fat fraction (FF), apparent diffusion coefficient (ADC), and spatial location. This non-parametric method provides superb data visualization, makes no assumptions about the underlying data distributions, and can track changes in the region of interest over time.

1115.   cPLA2 inhibition affects the relationship between vascular function and structure in a patient-derived breast cancer model: a correlation study of DCE-MRI vs. micro-CT
Eugene Kim1, Astrid Jullumstrø Feuerherm2,3, Berit Johansen2,3, Olav Engebraaten4, Gunhild Mari Mælandsmo4, Tone Frost Bathen1, and Siver Andreas Moestue1
1MR Cancer Group, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway, 3Avexxin AS, Trondheim, Norway, 4Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway

DCE-MRI and ex vivo micro-CT angiography were used to investigate the relationship between tumor vascular function and structure, and the effect of a cytosolic phospholipase A2 (cPLA2) inhibitor (AVX235, Avexxin AS) on this relationship, in a patient-derived breast cancer model. In control tumors (n=7), there were good correlations between Ktrans and vascular surface area (SA) (r=0.67) and between vp and SA (r=0.7). In AVX235-treated tumors (n=9), these correlations were weaker (r=0.25 and 0.33, respectively). This suggests that cPLA2 inhibition modulated the link between vascular structure and function and had a spatially heterogeneous effect on blood flow and/or vessel permeability.

1116.   Assessing the utility of Oxygen-Enhanced Magnetic Resonance Imaging (OE-MRI) to predict radiation response of rat prostate Tumors
Derek A White1,2, Zhang Zhang3, Heling Zhou1, Debu Saha3, Peter Peschke4, Zhongwei Zhang1, and Ralph P Mason5
1Radiology, University of Texas Southwestern, Dallas, Texas, United States, 2Bioengineering, University of Texas at Arlington, Texas, United States, 3Radiation Oncology, University of Texas Southwestern, Dallas, Texas, United States, 4Clinical Cooperation Unit Molecular Radiooncology, German Cancer Center, Heidelberg, Germany, 5Radiology, University of Texas Southwestern, Dallas, TX, United States

Non-invasive prognostic biomarkers promise new insights into tumor pathophysiology potentially allowing therapy to be optimized. Notably hypoxia influences radiation responses and Oxygen sensitive MRI (BOLD and TOLD) are sensitive to tissue oxygenation. This study further explores relationships between R1, R2* of rat prostate tumors with respect to oxygen breathing challenge and the tumor growth delay induced by a split dose radiation regimen. Oxygen breathing was found to enhance tumor growth delay and correlations were found with R1 and R2* assessed before the first dose of radiation.

1117.   Quantitative Analysis of Multi-parametric FLT-PET/MRI in Evaluating Early Treatment Response in Renal Cell Carcinoma
Jacob Antunes1, Satish Viswanath1, Mirabela Rusu1, Laia Valls2, Norbert Avril2, Christopher Hoimes2, and Anant Madabhushi1
1Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, Cleveland, OH, United States, 2University Hospitals Case Medical Center, Cleveland, OH, United States

We present a framework for quantitatively evaluating early treatment response of renal cell carcinoma (RCC). A single RCC patient was imaged using an integrated T2W/PET and DWI sequence before and during cytostatic drug treatment. Sequences within an acquisition protocol were spatially aligned and co-registered between acquisition time points. SUV, ADC-map, and T2W textural feature intensities were extracted on a per-voxel basis. A weighted difference map combination of multiple PET/MRI parameters was computed to optimize for expected changes within annotated RCC and normal tissue regions. The integrated multi-parametric PET/MRI map demonstrated high specificity in identifying early treatment response in metastatic RCC.

1118.   Early detection of treatment-induced apoptosis in tumors using temporal diffusion spectroscopy MRI
Xiaoyu Jiang1, Hua Li1, Ping Zhao1, H. Charles Manning1, Junzhong Xu1, and John C. Gore1
1Institute of Imaging Science, vanderbilt university, nashville, Tennessee, United States

The restoration of apoptosis in cancer cells is a critical strategy in the development of novel anti-cancer therapies. In vivo detection of apoptosis may provide early assessment of therapeutic response, however, none of the current imaging methods have proven robustly successful in clinics. Apoptosis at early stages is associated with significant microstructural variations, including nuclear fragmentation, cytosolic condensation, and cellular shrinkage. Here we show that temporal diffusion spectroscopy, a technique that is capable of characterizing microstructural variations across intracellular to cellular length scales, can provide an early, non-invasive and specific detection of the microstructural variations associated with treatment-induced apoptosis.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1119.   Highly accelerated DCE-MRI using Region of Interest Compressed Sensing
Amaresha Shridhar Konar1, Nithin N Vajuvalli1, Rashmi R Rao1, Divya Jain1, Dharmendra CK Kumar1, and Sairam Geethanath1
1Medical Imaging Research Center, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India

Current work demonstrates a technique, Region Of Interest Compressed Sensing (ROICS) on DCE-MRI data where ROI was selected around the tumor, restricting the reconstruction to the ROI. Compressed Sensing (CS) and ROICS methods were applied on seven breast DCE-MRI data sets at chosen acceleration factors from 2x to 20x. The reconstructed images were used to obtain quantitative Pharmacokinetic maps (PK) and the error in reconstruction was quantified by Normalized Root Mean Square Error (NRMSE) value. A significant increase in NRMSE value and artifacts in PK maps are observed from 5x acceleration onwards for CS as compared to ROICS.

1120.   Perfusion correlated heterogeneity in NSCLC patient tumor glucose metabolism
Christopher Hensley1, Eunsook Jin2,3, Naama Lev-Cohain4, Qing Yuan4, Kemp Kernstine5, Craig Malloy6,7, Robert Lenkinski6,7, and Ralph Deberardinis8,9
1Children's Research Institute, University of Texas Southwetern Medical Center, Dallas, Texas, United States, 2Advanced Imaging Research Center, University of Texas Southwetern Medical Center, Texas, United States, 3Internal Medicine, University of Texas Southwetern Medical Center, Texas, United States, 4Radiology, University of Texas Southwetern Medical Center, Texas, United States, 5Cardiovascular and Thoracic Surgery, University of Texas Southwetern Medical Center, Texas, United States, 6Advanced Imaging Research Center, University of Texas Southwetern Medical Center at Dallas, Texas, United States, 7Radiology, University of Texas Southwetern Medical Center at Dallas, Texas, United States, 8Children's Research Institute, University of Texas Southwetern Medical Center at Dallas, Texas, United States, 9Pediatrics, University of Texas Southwetern Medical Center at Dallas, Texas, United States

Significant inter- and intratumoral heterogeneity in in vivo glucose metabolism as assayed by [U-13C] glucose infusions exist in non-small cell lung cancer (NSCLC) patient primary tumors. We believe microenvironment-based advanced imaging methods can be used as pre-operative markers for intraoperative tumor fragment sampling to begin to study the magnitude of non-cell autonomous regulation of lung tumor metabolism. We demonstrate this proof of concept with DCE-MRI to assay the effects of heterogeneity in tumoral perfusion on both oxidative and non-oxidative NSCLC patient tumor glucose metabolism.

1121.   Monitoring quantitative tumor blood volume in mouse brain under Bevacizumab by the RSST1-MRI method.
Michel Sarraf1,2, Flavien Caraguel1, François Berger1, Boudewijn Van Der Sanden1, and Hana Lahrech1
1CEA-CLINATEC, Grenoble, Isère, Rhône-Alpes, France, 2Saint Joseph University, Beyrouth, Lebanon

Blood volume fraction (BVf) and vessel permeability have been shown to indicate anti-angiogenic therapy response at an early stage (before changes in tumor size appear). This study demonstrates the sensitivity of the RSST1-MRI method to quantify BVf, to detect the vasculature changes in U87 human glioblastoma cell (in mouse brain) at an early stage, after treatment with Bevacizumab, which is injected intravenously at a dose of 10 mg/kg (Student t-test: Pvalue <0.05). RSST1 is suitable to assess the effect of new anti-angiogenic therapies, and help physicians to take early decisions to stop, continue or change therapy strategies during treatment.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1122.   13C NMR studies of lymphoma and melanoma cells in the perfusion bioreactor and in vivo xenografts for flux calculation
Seung-Cheol Lee1, Jeffrey Roman1, Kavindra Nath1, David Nelson1, Kevin Muriuki1, Alexander Shestov1, and Jerry Glickson1
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

Time course 13C NMR study was performed in the perfused lymphoma and melanoma cells as well as in vivo xenografts for detailed metabolic flux calculation. mTOR signaling inhibitor rapamycin was administered to lymphoma cells and xenografts. Well resolved time course 13C NMR spectra were obtained from both perfused cells and in vivo tumors. mTOR signaling inhibition decreased fluxes to lactate, glutamate as well as glycogen. Melanoma xenografts exhibited higher TCA cycle flux than lymphoma xenografts. Quantitative flux calculation is under process.

1123.   13C MRS/Bioreactor Technique to Study Melanoma: Quantifying Glutaminolysis and de novo Lipogenesis
Alexander A. Shestov1, Anthony Mancuso2, Pierre Gilles Henry3, Dennis B. Leeper4, and Jerry David Glickson5
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, PA, United States, 3University of Minnesota, MN, United States, 4Radiation Oncology, Thomas Jefferson University, PA, United States, 5Radiology, Univesity of Pennsylvania, PA, United States

The bioreactor techniques combined with 13C MRS are an important tool to study cancer cell metabolism. Modeling of intracellular MRS isotopomer data obtained during perfusion with 13C labeled substrates allows quantitative determination of transport and metabolic parameters in vivo/in situ. In this work, we apply a novel 13C metabolic flux analysis technique to elucidate cancer metabolism bionetwork and calculate fluxes through important cancer metabolic pathways.

1124.   Noninvasive Image-Based Quantification of 18F-fluoromisonidazole (FMISO) Uptake using PET/MRI
Dragana Savic1, Youngho Seo1, Randall Hawkins1, Soonmee Cha1, Miguel Pampaloni1, Sharmila Majumdar1, and Ramon Barajas1
1Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), San Francisco, California, United States

We present a non-invasive image-based quantification method for estimating the activity in patients using an investigational simultaneous TOF PET/MRI scanner. Patients were injected with 18F-fluormisonidazole, and the average activity was calculated from the whole blood samples, and compared to the activity from the PET/MRI scanner. The average MRI blood-to-blood ratios were 1.16 and 1.18 respectively for the carotid arteries and the jugular veins. These results suggest that we can do image-derived blood activity concentration calculation reproducibility, and potentially avoid invasive blood sample procedures, by the use of our image derived quantification method using a hybrid simultaneous TOF PET/MRI scanner.

1125.   Investigation of Prostate Cancer Metabolomics with Prostate Biopsy Cores
Emily Decelle1, Taylor Fuss1, Shulin Wu1, Adam Feldman2, Douglas Dahl2, Aria Olumi2, W Scott McDougal2, Chin-Lee Wu1, and Leo L Cheng3
1Pathology, Massachusetts General Hospital, Boston, MA, United States, 2Urology, Massachusetts General Hospital, Boston, MA, United States, 3Pathology and Radiology, Massachusetts General Hospital, Boston, MA, United States

Prostate cancer (PCa) is the second leading cause of cancer death and the most frequently diagnosed malignancy in men worldwide. Previous observations show that PCa metabolic information can delocalize from PCa glands and into histologically-benign tissue creating “field effects” resulting in “metabolomic lesions” that are larger than histology lesions. In this study, we evaluate these effects with location defined prostate biopsy samples from patients suspected of harboring PCa using high-resolution magic angle spinning MR spectroscopy at 14.1T with constructions of training and testing cohorts created through quantitative histopathology of the biopsy cores.

1126.   Differences in phospholipid and lipid metabolism between cancer cells in culture and in solid tumors
Noriko Mori1, Flonné Wildes1, Tomoyo Takagi1, Kristine Glunde1,2, and Zaver M. Bhujwalla1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, MD, United States

Abnormal phospholipid and lipid metabolism are characteristic features of cancer. Cancer cells in culture do not completely mirror observations made in vivo because of the strong influence of the tumor microenvironment. In our ongoing studies we are comparing phosphocholine/glycerophosphocholine and lipid levels in prostate and breast cancer cells and tumors using 1H MR spectroscopy, to further understand metabolic processes. We have compared protein levels of the related enzymes to the metabolisms in these cells and tumors. Significantly different protein levels observed between cells in culture and tumors demonstrate the importance of the tumor microenvironment in phospholipid and lipid metabolism.

1127.   Glutamate dehydrogenase inhibition reduces glutamine conversion into 2HG in IDH1-mutated cancer cells as detected by 13C MRS
Tom Peeters1, Vincent Breukels1, Corina van den Heuvel2, Anna Navis2, Sanne van Lith2, Jack van Asten1, Remco Molenaar3, William Leenders2, and Arend Heerschap1
1Department of Radiology and Nuclear Medicine, Radboudumc, Nijmegen, Netherlands, 2Department of Pathology, Radboudumc, Nijmegen, Netherlands, 3Department of Cell Biology and Histology, Academic Medical Center, Amsterdam, Netherlands

Mutational changes in cytosolic isocitrate dehydrogenase 1 (IDH1) result in production of NADP+ and the oncometabolite D-2HG at the expense of αKG and NADPH. Replenishment of αKG from glutamine is one of the compensatory anaplerotic mechanisms that allow tumor cells to survive the induced metabolic stress. We investigated the effect of epigallocatechin gallate (EGCG), a known inhibitor of glutamate dehydrogenase 1 (GDH1), on the fate of 13C-glutamine using 13C MRS in IDH1wt/R132H and IDH1wt/wt cancer cells. EGCG significantly inhibits proliferation of IDH1wt/R132H cells. EGCG also prohibits the conversion of glutamine into D-2HG and changes intracellular glutamate and glutamine pool sizes.

In vivo high resolution multifrequency MR elastography of neuro tumors compared to single cell mechanical properties
Ingolf Sack1, Anatol Fritsch2, Steve Pawlizak2, Martin Reiss-Zimmermann3, Karl-Titus Hoffmann3, Felix Arlt4, Wolf Müller5, Jing Guo1, Jürgen Braun6, and Josef Käs2
1Radiology, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany, 2Physics and Earth Sciences, University of Leipzig, Saxony, Germany, 3Department of Neuroradiology, University Hospital, University of Leipzig, Saxony, Germany, 4Department of Neurosurgery, University Hospital, University of Leipzig, Saxony, Germany, 5Department of Neuropathology, University Hospital, University of Leipzig, Saxony, Germany, 6Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany

This study aims to bridge the gap between micro and macro scales of viscoelastic tissue properties in tumors. High resolution MRE was applied within clinical routine exams for measuring in-vivo viscoelastic properties of 7 cerebral tumors of different entity. Single cell viscoelastic properties of the same tumors were measured after surgery by the optical stretcher. We observed a significant correlation between in-vivo MRE and single cell elasticity with marked softening in high-WHO grade tumors. Thus, cellular mechanics is an important marker for in-vivo tissue viscoelasticity by which tumors can be staged in the future using MRE.

1129.   Amine as a novel biomarker for differentiating malignancy of breast cancer cells
Xiao-Yong Zhang1, Jingping Xie1, Hua Li1, Junzhong Xu1, John C. Gore1, and Zhongliang Zu1
1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States

To differentiate the malignancy of breast cancer cells is vital for optimal cancer treatment. Amide proton transfer (APT), a chemical exchange saturation transfer (CEST) technique, has been reported to show changes in brain tumors, but amine proton exchange from endogenous metabolites and free proteins/peptides side chains can also be a major contributor to CEST signal. In this work, we show how differences in amine proton exchange may be used to differentiate breast cancer cells with different malignant potential and conclude that amine proton may function as a new endogenous biomarker for non-invasively evaluating malignancy of breast cancer cells.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1130.   Assessment of Tumor Morphology on Diffusion-Weighted Breast MRI: Diagnostic Value of Reduced FOV High Resolution Diffusion-Weighted Imaging
Maarten W. Barentsz1, Valentina Taviani2, Jung M. Chang3, Debra M. Ikeda2, Kanae K. Myiake4, Suchandrima Banerjee5, Maurice A.A.J. van den Bosch1, Brian A. Hargreaves2, and Bruce L. Daniel2
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Radiology, Stanford University, Stanford, CA, United States, 3Radiology, Seul National University Hospital, Seul, Korea,4Diagnostic Imaging and Nuclear Medicine, Kyoto University Hospital, Kyoto, Japan, 5Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States

The diagnostic value of reduced FOV (r-FOV) high resolution diffusion-weighted imaging (DWI) in discriminating between benign and malignant breast lesions was assessed with respect to conventional, bilateral (bil) DWI and contrast-enhanced (CE) MRI. The discriminatory ability of r-FOV based on ADC was similar to bil-DWI. The area under the receiver operating characteristics for the predictive value of lesion shape and BI-RADS classification was higher when r-FOV DWI was used instead of bil-DWI. CE-MRI alone had a higher predictive value for malignancies than both r-FOV and bil-DWI. High-resolution DWI of targeted lesions allowed more accurate evaluation of tumor morphology than bil-DWI.

1131.   DW-PSIF in Breast MRI
Catherine J Moran1, Jung Min Chang2, Marcus T Alley1, Kanae Kawai Miyake1, Debra M Ikeda1, Brain A Hargreaves1, Kristin L Granlund1, and Bruce L Daniel1
1Radiology, Stanford University, Stanford, CA, United States, 2Seoul National University Hospital, Seoul, Korea

The DW-PSIF sequence may provide an alternative to EPI-DWI acquisitions for diffusion weighted MRI in the breast as it provides diffusion weighted images with higher resolution and none of the characteristic distortion of EPI-DWI. We performed a pilot study of DW-PSIF in the breast which included analysis of effect on diagnostic accuracy and assessment of diffusion weighting, sharpness, SNR, distortion and level of artifact.

1132.   Breast Tumors Characterization using Diffusion Kurtosis Imaging
Yongming Dai1, Junxiang Zhang2, and Dongmei Wu3
1Philips Healthcare, Shanghai, China, 2Department of Radiology, The First Affiliated Hospital of Bengbu Medical College, Anhui, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

In this abstract we investigated and evaluated the role of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing breast lesions, and demonstrate the potential utility of DKI for the characterization of breast lesions.

1133.   Novel Dynamic Contrast Enhanced Breast MRI with High Spatiotemporal Resolution and Fat Separation: Image Quality Compared to the Clinical Standard-of-Care MRI
Roberta M Strigel1,2, Courtney K Morrison2, Leah C Henze Bancroft1, James H Holmes3, Kang Wang3, Wendy B DeMartini1, Alejandro Munoz del Rio1,2, and Frank R Korosec1,2
1Radiology, University of Wisconsin, Madison, WI, United States, 2Medical Physics, University of Wisconsin, Madison, WI, United States, 3Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States

High spatiotemporal resolution (STR) breast MRI offers the potential to improve diagnostic accuracy and characterization of cancer. We utilized a novel approach to sampling k-space and reconstructing images with view-sharing to provide high STR MRI with a temporal resolution of 27 seconds, six-times faster than the clinical standard-of-care, while maintaining high spatial resolution. We performed an intra-patient study to compare image quality between exams. Image quality of the high STR MRI was affected by the higher parallel imaging factor; however, differences were small and diagnostic image quality was maintained. This technique is promising for allowing advanced analysis of perfusion.

1134.   MRI Functional Parameters in Breast Cancer:T2*, ADC and Contrast Agent Uptake
Evanthia Kousi1, Maria A. Schmidt1, Marco Borri1, Cheryl Richardson2, Georgina Hopkinson2, Elizabeth A.M. O'Flynn1, Robin M. Wilson2, Steven Allen2, Romney J.E. Pope2, and Martin O. Leach1
1CR-UK and EPSRC Imaging Centre, Royal Marsden NHS Foundation Trust and Institute of Cancer Reasearch, Sutton, Surrey, United Kingdom, 2Department of Radiology, Royal Marsden NHS Foundation Trust, Chelsea, London, United Kingdom

T2* relaxation time has been proposed as an imaging biomarker to evaluate hypoxia associated with tumour grade and therapeutic response. In this study, we explore the relationship between T2*, ADC and contrast agent uptake. Substantial variations for all functional parameters detected within tumours. Considerable inter-subject variability observed in the association between T2* and ADC for breast tumours. Less variability observed in the association between T2* and contrast uptake. Considering all patients, T2* and ADC correlated weakly and no correlation observed between T2* and contrast uptake. Our results suggest that T2* is an independent parameter and may provide new clinical information.

1135.   Magnetization Transfer Ratio variations in malignant breast lesions and parenchyma
Andrew J Patterson1, Mary M McLean2, Reem Bedair1, Andrew N Priest1, John R Griffiths2, Martin J Graves1, and Fiona J Gilbert1
1Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England, United Kingdom, 2Cancer Research UK Cambridge Insititute, Li Ka Shing Cambridge, Cambridge, England, United Kingdom

Magnetization Transfer Ratio (MTR) quantifies the interactions of water protons with different macromolecular environments. This study reports on changes in MTR in tissue proximal to malignancy and investigates the differences in MTR between tumor type and grade. Thirty patients with biopsy confirmed breast cancer were recruited. MTR maps are computed at 3T following a B1 field correction. This study noted a statistically significant difference between tumor type with the invasive mucinous type having lower MTR. This study finds that parenchyma proximal to malignancy was lower than that of contralateral parenchyma which may be due to desmoplastic reactions.

1136.   Evaluation of lipid composition in patients with benign tissue and cancer using multiple gradient echo MRI
Melanie Freed1,2, Pippa Storey1,2, Alana Amarosa Lewin1, Melanie Moccaldi1, Linda Moy1, and Sungheon G. Kim1,2
1Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Dept. Radiology, NYU School of Medicine, New York, NY, United States

Obesity is a known risk factor for developing breast cancer. So far, there has not been a comprehensive study comparing the lipid composition in the breast for patients with benign tissue and cancer. Part of the reason this remains a challenge is the lack of methods to non-invasively investigate lipid composition in breast tissue. We use a multiple gradient echo acquisition to rapidly acquire lipid spectral maps in the breast. These data suggest that for post-menopausal women, lower monounsaturated and higher saturated fatty acids may be related to breast cancer development.

1137.   Quantitative DCE Analysis for Breast Imaging: The Benefit of Dixon Fat-Water Separation in an ultrafast TWIST-VIBE Protocol
Elisabeth Weiland1, Sandra Peter2, Dominik Nickel1, Rolf Janka2, Michael Uder2, and Evelyn Wenkel2
1MR Application Developement, Siemens Healthcare, Erlangen, Germany, 2Radiology, University of Erlangen, Germany

We evaluated the potential of Dixon fat-water separation using an ultrafast view sharing DCE protocol to differentiate between benign and malignant lesions of very early contrast phases. Analysis of maximum slope (MS) and time-to-enhancement (TTE) of the kinetic curves were performed on water-only images for 37 mass lesions. Best differentiation was achieved with MS, derived from the water-only images (ROC analysis with area under curve of 0.914). Due to its short acquisition time and its robust image quality ultrafast dual-echo sequences with Dixon fat-water separation may be beneficial for MR-based breast screening.

1138.   Alterations to breast tissue chemistry in women at risk of cancer: 2D MR spectroscopy in vivo study
Jessica Buck1, Saadallah Ramadan1, Leah Best2, Judith Silcock3, Jameen Arm2, Scott Quadrelli1, Gorane Santamaria1, Kin Men Leong2, Peter Lau2, Peter Malycha1, David Clark1,3, and Carolyn Mountford1,4
1Centre for MR in Health, University of Newcastle, Newcastle, NSW, Australia, 2Calvary Mater Hospital, Newcastle, NSW, Australia, 3The Breast and Endocrine Centre, Gateshead, NSW, Australia, 4Centre for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

In vivo 2D L-COSY identifies premalignant changes in women at high risk of developing breast cancer that are not seen by routine imaging, and allows women to be identified as MR spectroscopy Low Risk or MR spectroscopy High Risk according to changes recorded. Changes in the MR spectroscopy High Risk group include deregulation of lipid pathways and increased levels of metabolites. If these changes are confirmed in larger populations, it is possible that this information will allow women at increased clinical risk for breast cancer an objective means to monitor changes that may be taking place in their breast tissue.

1139.   Assessment of Background Parenchymal Enhancement in Breast MRI of BRCA 1/2 Mutation Carriers Compared to Matched Controls
Alana Amarosa Lewin1, Sungheon Kim1, James S Babb1, Amy N Melsaether1, Jason McKellop1, Melanie Moccaldi2, Ana Paula Klautau Leite3, and Linda Moy1
1Radiology, New York University School of Medicine, New York, New York, United States, 2Radiology, New York University Cancer Institute, New York, New York, United States, 3Radiology, Hospital das Clínicas, School of Medicine, University of São Paulo, Brazil

This study investigates whether quantitative kinetic analysis of benign lesions and background parenchyma (BP) in breast MRI can elucidate differences between BRCA carriers and sporadic controls with high risk for breast cancer. We identified 49 BRCA mutation carriers and 49 control cases with benign lesions for comparison of their initial and delayed enhancement ratios (IER and DER) of BP. The control group showed significant differences in IER and DER between pre and post-menopausal women, but the BRCA group did not. Our results also indicate that the BRCA gene mutation has multifactorial and complex clinical and biologic implications.

1140.   A Practical Approach to Pharmacokinetic Modelling in monitoring Neoadjuvant Chemotherapy in Breast Cancer
Reem Bedair1, Andrew Patterson2, Mary McLean3, Roie Manavaki1, Scott Reid4, John Griffiths3, Martin Graves2, and Fiona Gilbert1
1University of Cambridge, Department of Radiology, Cambridge, Cambridgeshire, United Kingdom, 2Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, United Kingdom, 3Cancer Research UK Cambridge Research Institute, Cambridge, Cambridgeshire, United Kingdom, 4GE Healthcare, Diagnostic Imaging, Buckingham, Buckinghamshire, United Kingdom

Quantitative DCE-MRI together with pharmacokinetic modelling enables the assessment of tumour-vessel permeability and leakage space in vivo. This work compares the early changes in the PK-derived parameter (Ktrans ) using both a voxel-wise histogram analysis across the entire tumour and the average Ktrans from the largest slice in cohort of breast cancer patients undergoing neoadjuvant chemotherapy. Although pixel-based analyses can demonstrate significant differences in the distribution of Ktrans, this can be a time-consuming process. Our results show that the average Ktrans calculated from the single largest slice provides statistically similar results that can be easily incorporated into routine clinical practice.

1141.   Characterization of Invasive Breast Cancer using Quantitative DCE-MRI at 3.0T
Reem Bedair1, Martin Graves2, Mary McLean3, Scott Reid4, Roie Manavaki1, John Griffiths3, Andrew Patterson2, and Fiona Gilbert1
1University of Cambridge, Department of Radiology, Cambridge, Cambridgeshire, United Kingdom, 2Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, United Kingdom, 3Cancer Research UK Cambridge Research Institute, Cambridge, Cambridgeshire, United Kingdom, 4GE Healthcare, Diagnostic Imaging, Buckingham, Buckinghamshire, United Kingdom

DCE-MRI has proven a promising non-invasive modality for characterizing the pathophysiological microenvironment of tumours. Pharmacokinetic modelling can yield results of tumour-vessel permeability, perfusion and extracellular-extravascular volume fraction. This work exploits the improved spatiotemporal resolution achievable at 3.0T to investigate the relationship between the modelled vascular parameters and their histopathological profile within a cohort of breast cancer patients. Hotspot Ktrans and ve were found to be higher for the more common malignant types. A significant difference was found between hotspot Ktrans and ve in grades 1 and 3 tumours. Our results indicate that Ktrans and ve provide important and independent information concerning tumor biology and microvascular structure that supports the use of these more complex analysis protocols.

1142.   Influence of Breast Cancer Receptor Status on Multi-parametric Magnetic Resonance Imaging for Predicting Treatment Response: Preliminary Results
Xia Li1, Vandana G Abramson1, Lori R. Arlinghaus1, Hakmook Kang1, Jason M Williams1, Richard G Abramson1, A. Bapsi Chakravarthy1, Praveen Pendyala1, and Thomas E Yankeelov1
1Vanderbilt University, Nashville, Tennessee, United States

This study determines if classifying breast cancer patients by subtype improves the ability of integrated DCE-MRI and DW-MRI to predict eventual response after the first cycle of NAC. The patients were divided into three groups according to receptor status: 1) ER-/PR-/HER2-, 2) HER2+, and 3) HR+/HER2-. These preliminary results demonstrate that DCE- and DW-MRI may be able to better predict treatment response for patients with particular receptor status. This observation should be confirmed in a large cohort in the future.

1143.   Does breast peritumoral tissue hold valuable information for texture analysis?
Michael Fox1, Peter Gibbs1, Martin Pickles1, and Lindsay W. Turnbull1
1Centre for MR Investigations, HYMS at University of Hull, Hull, East Yorkshire, United Kingdom

The performance of GLCM texture analysis is dependent on a well-drawn ROI segmenting a tumour from “healthy” surrounding tissue. There may be changes to the surrounding tissue in breast cancer patients which can be an indicator of tumour status, or response prediction. Software was developed to incrementally expand the ROI for 100 patients and compare the performance of GLCM texture analysis against previously recorded values. An increase in number of differences between TNEG patient sub-groups was found when peritumoral tissue was included, and performance was comparable for other patient sub-groups, suggesting surrounding tissue should be included in analysis.

1144.   The Association of Breast Density with Tumor Subtypes: Evaluation with 3D MRI
Jeon-Hor Chen1,2, Yifan Li1, Yoon Jung Choi3, Chen-Pin Chou4, Tsung-Lung Yang4, and Min-Ying Su1
1Center for Functional Onco-Imaging, University of California, Irvine, CA, United States, 2Department of Radiology, Eda Hospital and I-Shou University, Kaohsiung, Taiwan, 3Department of Radiology, Kangbuk Samsung Hospital, Seoul, Korea, 4Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan

Characterizing the association between breast density and risk of tumor subtypes may enhance our understanding of how breast cancer subtypes differ in etiology. The goal of this study was to use 3D MR-based density method to investigate the association of breast density with the development of different subtypes of breast cancer. In total 114 women diagnosed with unilateral breast cancer were analyzed. A negative correlation between age and percent breast density was noted, with older women tended to have lower density. ER negative and triple negative cancer had higher PD than other tumor subtypes, but no statistical difference was identified.

1145.   Minkowski Functionals in MRI: A new texture analysis tool in breast MRI
Michael Fox1, Peter Gibbs1, Martin Pickles1, and Lindsay W. Turnbull1
1Centre for MR Investigations, HYMS at University of Hull, Hull, East Yorkshire, United Kingdom

Minkowski Functinals may provide a new method to observe or diagnose breast cancer tumours in MRI, as they have done in CT. Software was created in-house, using 101 threshold levels, to create binary images of segmented breast lesions, from T1W MR images. Three 5th order polynomial fits were created for each of the 100 patients to describe their change in MF values as the threshold was raised. Two-thirds of the measured parameters were able to distinguish between TNEG patient sub-groups, with differences between biopsy grades being found also. This work supports the introduction of Minkowski Functionals into MRI texture analysis.

1146.   Estimation of Fat fractions in Different Subtypes of Breast Cancer using in-vivo 1H MRS Study
Khushbu Agarwal1, Uma Sharma1, Smriti Hari2, Vurthaluru Seenu3, Rajinder Parshad3, and Naranamangalam R Jagannathan1
1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, Delhi, India, 2Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, Delhi, India, 3Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, Delhi, India

Fat fractions were calculated in different molecular subtypes of breast cancer based on ER, PR and Her2neu status. It was demonstrated that lipid content is associated with hormone receptor status of breast cancer patients. Our results showed a significant increase in fat fraction of ER-/PR- and Her2neu+ than ER+/PR+ and Her2neu- breast tumors. Highly proliferating tumors like ER-, PR- and Her2neu+ breast cancers require more fat for membrane production. The results obtained in the present study signifies that studying lipid content of different breast cancer subtypes might help in therapeutic planning of these patients.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1147.   Rapid quantitative T2-mapping of the prostate using 3D Dual Echo Steady State (DESS)
Isabel Dregely1, Daniel AJ Margolis2, Kyung Sung1, Novena Rangwala1, Steve Raman3, and Holden H Wu1
1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2University of California Los Angeles, Los Angeles, CA, United States, 3University of California Los Angeles, CA, United States

The central component of prostate cancer MRI is a high-resolution T2-weighted (T2w) acquisition. Quantitative T2-mapping can provide added value, however current methods are limited by compromises between spatial resolution, 3D coverage, and scan time. In this work we show initial results in a pilot patient study of rapid, quantitative T2 MRI in ~1 min total scan time using a 3D Dual Echo Steady State (DESS) acquisition.

Modelling tissue microstructure in bone metastases from prostate cancer using VERDICT MRI
Colleen Bailey1, Eleftheria Panagiotaki1, Nina Tunariu2, Matthew R Orton3, Veronica A Morgan3, Thorsten Feiweier4, David J Hawkes1, Martin O Leach3, David J Collins3, and Daniel C Alexander1
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Radiology, Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Sutton, United Kingdom, 3CR-UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Healthcare Sector, Siemens AG, Erlangen, Germany

Bone metastases in men with advanced prostate cancer were examined by diffusion MRI with varying diffusion times and gradient strengths. Data were fitted to 3-compartment models of diffusion that included a perfusion compartment, an extracellular compartment and an intracellular spherically-restricted compartment. Data showed variation for points with the same b-value but different diffusion time and were better explained by a model incorporating restriction than either conventional ADC or 2- or 3-compartment models with free diffusion. Model parameters indicated a low perfusion fraction (<10%), intracellular volume fraction 0.22-0.56 and a cell radius between 4.7-9.9 µm.

1149.   A Novel Prostate MR Elastography Technique Based on Image Similarity
Seyed Reza Mousavi1, Seyyed Mohammad Hesabgar2, Timothy Scholl2,3, and Abbas Samani2,3
1Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada, 2Medical Biophysics, University of Western Ontario, London, Ontario, Canada, 3Robarts Research Institute, London, Ontario, Canada

T2-weighted MR imaging is an evolving modality in prostate cancer diagnosis. Although T2-weighted MRI has a good sensitivity but it has low specificity. The specificity of the T2-weighted MRI, however, may be improved by calculating prostate tissue elasticity distribution. Tissue elasticity properties are known to be prostate cancer biomarkers. In this research project, an MR elastography technique is proposed to reconstruct tissue Young’s modulus with the aim of improving T2-weighted MR imaging specificity. The proposed technique only utilizes T2-weighted MR imaging information and does not require any additional peripheral devices. It also does not appreciably disrupt the clinical flow.

1150.   DCE-MRI appearance of prostate after androgen deprivation therapy – preliminary results
Lucy E Kershaw1,2, Andrew J McPartlin2,3, and Ananya Choudhury2,3
1CMPE, The Christie NHSFT, Manchester, United Kingdom, 2Institute of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, 3Oncology, The Christie NHSFT, Manchester, United Kingdom


1151.   Comparison of prostate tumor volume delineation between multi-parametric MRI sequences when planning for hypofractionated radiotherapy
Hugh Harvey1, Veronica Morgan2, David Dearnaley3, Sharon Giles2, Alison Macdonald2, Julia Murray3, and Nandita deSouza1
1CRUK Cancer Imaging Centre, The Institute of Cancer Research, Sutton, Surrey, United Kingdom, 2The Royal Marsden NHS Foundation Trust, Surrey, United Kingdom, 3Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom

Delineation of the tumor region-of interest is crucial when planning boost doses of radiation therapy to a dominant intraprostatic tumor nodule. Comparison of prostatic tumor volume measurements defined on T2W images, Apparent Diffusion Coefficient maps and Dynamic Contrast Enhanced images in 16 patients due for radiation dose-boosting to tumor revealed a significant difference in measured volumes between the sequences, with T2W-derived volumes being up to 48.7% larger than DCE-derived volumes and therefore most useful in the context of radiation therapy planning.

1152.   Sensitive Detection of Zinc(II) in the Prostate with a Gadolinium-Based MRI Contrast Agent
Veronica Clavijo Jordan1,2, Christian Preihs1, Shiuhwei Chen3, Shanrong Zhang1, Wen-hong Li3, Neil Rofsky2, and Dean Sherry1,4
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, United States, 2Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, United States, 3Departments of Cell Biology and of Biochemistry, UT Southwestern Medical Center, Dallas, Texas, United States, 4Department of Chemistry, UT Dallas, Texas, United States

Due to the lack of accuracy in current prostate cancer testing methods, there is an increasing need for more reliable tests to differentiate prostate cancer from benign prostatic hyperplasia (BPH), prostatic intraepithelial neoplasia, and/or inflammation. The reported loss of zinc in prostate cancer offers a potential mechanism to distinguish malignancy from the other conditions. Here we introduce a gadolinium-based sensor that can report the available zinc(II) present in the prostate sensitively. We also report the role of glucose in secreting zinc(II) in prostate secretory cells.

1153.   Bi-exponential diffusion analysis in normal prostate and prostate cancer: transition zone and peripheral zone considerations
Thiele Kobus1,2, Andriy Fedorov1, Clare Tempany1, Robert Mulkern3, Ruth Dunne1, and Stephan E. Maier1
1Radiology, Brigham and Women's Hospital, Boston, Massachusetts, United States, 2Radiology, Radboud UMC, Nijmegen, Netherlands, 3Radiology, Children's Hospital, Boston, Massachusetts, United States

We investigated the performance of the bi-exponential fit for extended b-factor DWI (b=0 to 3500 s/mm2) in discriminating between different tissues in prostate imaging. The means of the fitted parameters, ADCfast, ADCslow and fslow (fraction of ADCslow component), were significantly different between normal tissue (PZ and TZ) and tumor tissue in both PZ and TZ. There was also a difference for fslow between normal PZ and TZ (p<0.001). No differences in the parameters were found between tumors in the PZ and TZ. The increase of fslow in tumor tissue might represent the occupation of the luminal space by tumor cells.

1154.   A Novel Computer-Assisted Approach for Prostate Cancer Diagnosis on T2w MRI
Haibo Wang1, Satish viswanath2, Asha Singanamalli3, and Anant Madabhushi4
1Case Western Reserve University, Cleveland Heights, OHIO, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland Heights, OHIO, United States, 3Case Western Reserve University, OHIO, United States, 4Biomedical Engineering, Case Western Reserve University, OHIO, United States

This paper presents a computerized approach to assist radiologist for prostate cancer diagnosis on T2w MRI. It detects prostate cancer more faster and more accurate than the conventional computerized solutions. Novel image processing and machine learning techniques are successfully used in the approach.

1155.   MRI-guided focal laser ablation of prostate cancer: comparison of targeted and ablated volumes
Holden H Wu1, Alan Priester2,3, Shyam Natarajan2,3, Kyunghyun Sung1, Daniel Margolis1, Warren Grundfest2,3, Leonard Marks3,4, and Steven Raman1
1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Biomedical Engineering, University of California Los Angeles, CA, United States, 3Center for Advanced Surgical and Interventional Technology (CASIT), University of California Los Angeles, CA, United States, 4Urology, University of California Los Angeles, CA, United States

to add ...

1156.   Pilot: MRI Differences Associated with Dutasteride and Finasteride Treatments in Patients with Low Risk Prostate Cancer
Olga Starobinets1,2, John Kornak3, John Kurhanewicz1,2, and Susan M Noworolski1,2
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Graduate Group in Bioengineering, UC Berkeley, Berkeley, CA, United States, 3Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States

Majority of imaging parameters obtained during a prostate mpMRI scan demonstrate a better separation between low-grade cancerous and benign regions for prostate tissues exposed to anti-androgen therapy. Pretreatment with dutasteride or finasteride may facilitate a better detection of low-grade prostate cancer.

1157.   Diagnostic performance of 68Ga-PSMA-PET/MRI versus 68Ga-PSMA-PET/CT in the evaluation of lymph node and bone metastases of prostate cancer
Martin Thomas Freitag1, Jan Radtke1,2, Boris Hadaschik2, Uwe Haberkorn3, Heinz-Peter Schlemmer1, Matthias Roethke1, and Ali Afshar-Oromieh3
1Department of Radiology, German Cancer Research Center, Heidelberg, Baden-Wuerttemberg, Germany, 2Department of Urology, University hospital of Heidelberg, Heidelberg, Baden-Wuerttemberg, Germany, 3Department of Nuclear Medicine, University hospital of Heidelberg, Heidelberg, Baden-Wuerttemberg, Germany

The recently introduced 68Gallium-PSMA-ligand is regarded as a significant step forward in the diagnosis of prostate cancer and its metastases for PET examinations. Multiparametric PET/MR could be advantageous over PET/CT to better delineate PET-positive findings due to higher soft tissue contrast. Here, we systematically compare the diagnostic performance of multiparametric PET/MRI versus PET/CT with focus on bone and lymph node metastases of prostate cancer. PET-positive results were significantly correlating between both methods indicating a strong reliability of PET-measurements using 68Ga-PSMA-PET/MRI. For the delineation of lymph nodes, PET/MRI was superior to PET/CT whereas the conspicuity of bone metastases was comparable.

1158.   The influence of polyamines on metabolite ratios in the prostate at 7 tesla
Mariska P Luttje1, Catalina S Arteaga de Castro2, Peter R Luijten1, Marco van Vulpen1, Uulke A van der Heide2, and Dennis WJ Klomp1
1Imaging Division, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiotherapy, the Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, Netherlands

In contrast to 1H MRSI at lower field strength, where polyamine signals overlap with choline signals, our results at 7 tesla demonstrate the ability to fit each of the prostate metabolite resonances distinctively. This facilitated investigation of the role of polyamines in the results of 1H MRSI in detecting prostate cancer. The conventional metabolite ratio (tCho+PA+Cr)/Cit significantly discriminates between tumor and healthy tissue areas at 7 tesla, whereas the new ratio tCho/(Cit+PA+Cr) performs less in discriminating tumor from healthy tissue in the prostate in contrast to reports obtained from tissue samples.

1159.   Clinical Assessment of B1+ Inhomogeneity Effects on Quantitative Prostate MRI at 3.0 T
Xinran Zhong1,2, Novena Rangwala1, Steven Raman1, Daniel Margolis1, Holden Wu1,2, and Kyunghyun Sung1,2
1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Biomedical Physics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, United States

B1+ variations in the pelvis is measured using the reference region VFA method and differences on the T1 relaxation values in prostate and pelvic muscles with and without compensating for B1+ variation were analyzed in a total of 108 prostate patients at 3T. Significant improvement on T1 value could be seen after RF correction through comparison between different tissues and different systems, indicating the need for B1 correction in prostate T1 imaging.

1160.   Validation of Real time Virtual Sonography (RVS) for targeted MR-ultrasound guided transrectal prostate biopsies against transperineal template saturation biopsies for service development
Victoria Sherwood1, Donald MacDonald2, James Harding3, Nicholas Hedley3, Kieran Jefferson2, Chris Koller1, and Charles Hutchinson3
1Department of Radiology Physics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, Warwickshire, United Kingdom, 2Department of Urology, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, Warwickshire, United Kingdom, 3Department of Radiology, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, Warwickshire, United Kingdom

A clinical development study was designed to validate targeted MR-ultrasound fusion-guided prostate biopsies against transperineal template saturation biopsies, using Real-time Virtual Sonography (RVS). Twenty-seven patients underwent fusion and template biopsies. Results were compared and related back to multiparametric MRI. Eleven of 19 patients with Gleason 6 disease or above, as diagnosed by template biopsy, tested positive on fusion biopsy. Almost all the remaining patients had Gleason 6 disease, which may not be detected on MRI. RVS has the potential to reduce patient complications and lighten the burden on healthcare services by significantly limiting the number of necessary template saturation biopsies.

1161.   T2-weighted 3D Variable-Flip Angle Turbo Spin Echo Compared to Standard 2D T2-weighted Imaging at 3T for Prostate Cancer Detection in a Patient Cohort Undergoing MR/US fusion biopsy
Steven M Shea1, Joseph M Yacoub1, Gopal N Gupta2, Grace Yoon3, and Ari Goldberg1
1Radiology, Loyola University Chicago, Maywood, IL, United States, 2Urology, Loyola University Chicago, Maywood, IL, United States, 3Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States

The rise of MR/US fusion for prostate cancer biopsies necessitates a true 3D imaging technique. We compared a T2-weighted 3D variable flip angle turbo spin echo acquisition versus the standard 2D T2-weighted acquisition in patients undergoing MR/US fusion biopsy at 3T. PIRADS scores, image quality scores, and relative contrast were all equivalent or better in T2w 3D as compared to T2w 2D. Given the advantages in scan time and overall voxel size, T2w 3D imaging is a viable alternative to T2w 2D imaging.

1162.   In Vivo Sodium Imaging of Human Prostate Cancer
Justin Charles Peterson1, Adam Farag2, Trevor Szekeres2, Eli Gibson2,3, Aaron D Ward2,3, Joseph Chin4, Stephen Pautler5, Glenn Bauman4, Cesare Romagnoli4, Robert Bartha1,2, and Timothy J Scholl1,2
1Medical Biophysics, Western University, London, Ontario, Canada, 2Robarts Research Institute, Ontario, Canada, 3Biomedical Engineering, Western University, Ontario, Canada, 4London Health Sciences Centre, Ontario, Canada, 5St. Joseph's Health Care, Ontario, Canada

Prostate cancer (PCa) is the most common malignancy in men. Currently, a combination of multi-parametric MR including T2-weighted, diffusion-weighted, and dynamic contrast enhanced imaging, is used clinically but often provides insufficient information to determine the malignancy of a lesion. Previous studies have shown increased MRI measured tissue sodium concentration (TSC) in brain and breast cancer. In this report we demonstrate in vivo 23Na MRI in patients with PCa. Using this proposed method TSC data was registered to histopathology and analyzed. These preliminary data show a positive correlation between tumor grade and TSC within the prostate.

1163.   Initial Evaluation of T2 Shine-Through Elimination with Relax DWI
Paul Summers1, Daniel Chong2, Valentina Elli3, Daniele Giardiello4, Mehran Vaziri1, Giuseppe Petralia1, and Massimo Bellomi1,3
1European Institute of Oncology, Milan, Italy, 2Stillpig Software, Sarawak, Malaysia, 3University of Milan, Milan, Italy, 4University of Milan - Bicocca, Milan, Italy

Tissues with long T2s like the prostatic peripheral zone (PZ) can mimic lesions in diffusion weighted MRI due to “T2 shine-through”. We have evaluated the impact on prostate tumor contrast of Relax DWI, where four or more echo time and diffusion weighting combinations are used to isolate T2 and ADC effects. Relax DWI showed better contrast between tumor and both prostate and peripheral zone when high b-value images were calculated for TE=0 (eliminating T2 effects) than was observed in the acquired images using our scanner’s minimum TE for the same b-value, without significant change in ADC map appearance.

1164.   Using Multiparametric MRI to Differentiate Prostate Cancer in the Anterior Aspect of the Gland
Olga Starobinets1,2, Jeffry Simko3,4, Kyle Kuchinsky3, Sonam Machingal1, John Kurhanewicz1,2, Peter R Carroll4, Kirsten L Greene4, and Susan M Noworolski1,2
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Graduate Group in Bioengineering, UC Berkeley, Berkeley, CA, United States, 3Pathology, UCSF, San Francisco, CA, United States, 4Urology, UCSF, San Francisco, CA, United States

The purpose of this study was to use semi-quantitative parameters derived from dynamic contrast-enhanced (DCE) MRI, 1hydrogen-MR spectroscopic imaging (MRSI), diffusion MR and MRI to differentiate benign and malignant, as well as high-risk from low-risk prostate cancers in the anterior aspect of the prostate using whole-mount pathology as the standard of reference. A logistic regression combination of parameters provided ROC AUC=0.983 for discriminating benign from malignant tissues and AUC=0.824 for distinguishing between low-risk and high-risk cancer.

1165.   Validation of T2 mapping for treatment response monitoring in longitudinal multi-center clinical trials
Petra J van Houdt1, Harsh K Agarwal2,3, Laurens B van Buuren1, Marko Ivancevic4, Søren Haack5, Jesper Folsted Kallehauge6, Peter L Choyke3, and Uulke A van der Heide1
1Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands, 2Philips Research NA, Briarcliff Manor, MD, United States, 3National Cancer Institute, National Institutes of Health, Bethesda, NY, United States, 4Philips Healthcare, Best, Netherlands, 5Clinical Engineering, Aarhus University Hospital, Aarhus, Denmark, 6Medical Physics, Aarhus University Hospital, Aarhus, Denmark

T2 is proposed as a biomarker for response monitoring of patients with prostate cancer treated with radiotherapy. A key requirement in multi-center longitudinal studies is good reproducibility over multiple visits. The purpose of this study was to establish the inter- and intra-center reproducibility of T2 maps. Phantom measurements were performed on three platforms, showing that the differences in T2 values within and between platforms were smaller than 5%. Average difference in T2 values of volunteers between two visits was -1.5 +/- 9.5%. This work demonstrates that T2 mapping is suitable for use in multi-center, longitudinal trials in prostate cancer patients.

1166.   A multi-site study to develop a new pseudo-quantitative T2w MRI map for prostate cancer characterization: Preliminary findings
Satish Easwar Viswanath1, Chun Yeung Yim2, Nicolas Bloch3, Mark Rosen4, John Kurhanewicz5, and Anant Madabhushi6
1Case Western Reserve University, Cleveland, Ohio, United States, 2Rutgers University, New Brunswick, New Jersey, United States, 3Boston University, MA, United States, 4University of Pennsylvania, PA, United States, 5University of California San Francisco, CA, United States, 6Case Western Reserve University, Ohio, United States

We present the first results of a multi-site study involving post-processing T2w MRI acquisitions from multiple institutions and scanners, to calculate a new pseudo-quantitative T2w parameter with tissue-specific meaning, to more accurately and reproducibly identify prostate cancer on MRI.

1167.   Diagnostic performance of the ESUR PI-RADS scoring system for multiparametric MRI of the prostate: systematic comparison of four parameters versus three parameters for detection and grading of prostate cancer
Stephan Polanec1, Katja Pinker2, Martin Suasani2, Peter Brader2, Dietmar Georg2, Thomas Helbich2, and Pascal Baltzer2
1General Hospital of the Medical University of Vienna!, Vienna, Vienna, Austria, 2General Hospital of the Medical University of Vienna!, Vienna, Austria

To compare the diagnostic performance of the ESUR PI-RADS scoring system for multiparametric magnetic resonance imaging (MP MRI) of the prostate using either three (T2w, DCE, DWI) or four MRI parameters (T2w, DCE, DWI, 3D 1H-MRSI) for the detection and grading of prostate cancer (PCa). The results demonstrate that diagnostic accuracy of MP MRI of the prostate using three MRI parameters is as good as MP MRI of the prostate using four MRI parameters. Adding 3D 1H-MRSI as a fourth parameter doesn’t increase diagnostic accuracy for differentiation of benign and malignant lesions or of high-grade and low-grade PCa.

1168.   Radiogenomics of Prostate Cancer: Association Between Quantitative Multi-Parametric MRI Features and PTEN Expression
Aytekin Oto1, David VanderWeele2, Yulei Jiang1, Stephanie Maria McCann1, Xiaobing Fan1, Jianing Wang1, and Tatjana Antic3
1Radiology, The University of Chicago Medicine, Chicago, IL, United States, 2Internal Medicine, The University of Chicago Medicine, Chicago, IL, United States, 3Pathology, The University of Chicago Medicine, Chicago, IL, United States

Multi-parametric MRI (Mp-MRI) is playing an increasing role in the detection, staging and localization of Pca. Determination of the cancer aggressiveness by Mp-MRI has been addressed in several studies and significant correlations between quantitative MRI parameters (such as apparent diffusion coefficient [ADC] and ktrans) and Gleason score have been reported. However, to our knowledge, no study thus far has investigated associations between quantitative Mp-MRI parameters and genomic markers in Pca.

1169.   The Application of Sparse Reconstruction to High Spatio-Temporal Resolution Dynamic Contrast Enhanced MRI of the Prostate: Initial Clinical Experience with Effect on Image and Parametric Perfusion Characteristic Quality
Adam T. Froemming1, Eric A. Borisch2, Joshua D. Trzasko2, Roger C. Grimm2, Armando Manduca2, Phillip Young3, Stephen J. Riederer3, and Akira Kawashima3
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, MN, United States, 3Radiology, Mayo Clinic, MN, United States

We studied the application of an iterative image reconstruction technique (ADMM) applied to our high temporal resolution DCE sequence (pCAPR) for prostate imaging, compared to the conventional reconstruction. This was done both subjectively with independent reader ratings of image quality characteristics, and objectively with measurement of quantitative perfusion data from ROI of lesions.

Monday 1 June 2015
Exhibition Hall 10:45 - 12:45

1170.   Pre-operative T stage evaluation of esophageal carcinoma: a comparison study between self-gating radial VIBE and breath-hold VIBE
Fengguang Zhang1, Jinrong Qu1, Hui Liu2, Xiang Li1, Hongkai Zhang1, Hailiang Li1, Grimm Robert3, Kiefer Berthold3, and Xuejun Chen1
1Radiology, Henan Tumor Hospital, Zhengzhou, Henan, China, 2NEA MR Collaboration, Siemens Ltd., China, Shanghai, China, 3Healthcare, Siemens AG, Erlangen, Germany

Accurate staging esophageal carcinoma is quite important for treatment decision. un to now, there is still no available MRI technique to well address this need. With the development of self-gating radial VIBE, we are able to evaluate this new technqiue in a large esophageal carcinoma population. The prelimary results shows confident in T1 and T2 staging.

1171.   Isotropic Diffusion Spectrum Imaging Constrained by Independent Component Analysis with a Ball and Stick Model to Assess Cellularity of Brain Tumors
JEONG-WON JEONG1,2, Csaba Juhász1,3, Sandeep Mittal3,4, Edit Bosnyák1, and Diane C Chugani1,2
1Pediatrics and Neurology, Wayne State University, Detroit, MI, United States, 2Children's Hospital of Michigan, Detroit, MI, United States, 3Karmanos Cancer Institute, Detroit, MI, United States, 4Neurosurgery and Oncology, Wayne State University, Detroit, MI, United States

An independent component analysis with ball-stick model (ICA+BSM) was proposed to solve an intra-voxel crossing fiber problem in clinical diffusion tensor imaging (DTI). This study investigates whether the ICA+BSM analysis can be combined with isotropic diffusion spectrum imaging (IDSI) technique to assess the degree of cellularity in tumor-infiltrated white matter tissues in clinical DTI. Compared with apprarent diffusion coefficient image, which provided a moderate accuracy of 0.457 to detect tumor cells in the active tumor region delinated by á[11C]methyl-L-tryptophan (AMT)-positron emission tomography, IDSI-derived cell ratio yielded a much higher accuracy of 0.969 in conventional receiver operating characteristic curve analysis.

1172.   Comparison of intravoxel incoherent motion characteristics between different tumor stages and grades in rectal cancer
Hongliang Sun1, Yanyan Xu2, Aiping Song3, and Wu Wang4
1Radiology, China-Japan Friendship Hospital, Beijing, Beijing, China, 2Radiology, China-Japan Friendship Hospital, Beijing, China, 3China-Japan-Friendship Hospital, Beijing, China, 4China-Japan Friendship Hospital, Beijing, China

We found the IVIM parameters demonstrated well correlation with tumor stage and grade, which could reflect clinicopathological features of rectal cancer.

1173.   Whole body multi-parametric MRI; A comparison of the diagnostic performance of different sequences
Arash Latifoltojar1, Margaret Hall-Craggs2, Alan Bainbridge2, Charles House2, Kannan Rajesparan2, Stuart Taylor3, Kwee Yong3, Neil Rabin2, and Shonit Punwani3
1University College London, London, London, United Kingdom, 2University College London Hospital, London, United Kingdom, 3University College London, London, United Kingdom

Whole body magnetic resonance imaging (WBMRI) is gaining ground for initial staging and monitoring treatment response of patients with multiple myeloma. However, most of the reported WBMRI protocols are based on anatomical MRI sequences such as pre-contrast T1 weighted, T2-weighted and short tau inversion recovery (STIR). In this study, the diagnostic performance of multiple anatomical and functional whole body MRI sequences for detection of myelomatous bone marrow involvement and its impact on Durie-Salmon PLUS staging is investigated.