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

Power Pitch Session
Power Pitch Theatre, Exhibition Hall, 16:00 - 17:00
Plasma Screens, Exhibition Hall,  17:00 - 18:00
Moderators: Bachir Taouli, M.D., Greg J. Stanisz, Ph.D.
Wednesday 3 June 2015

Click this video icon to view the introductory session:

Note: The videos below are only the slides from each presentation. They do not have audio.

Plasma # Program #  
1 0666. Comparing Functional Tumor Volume and Pharmacokinetic Parameter in DCE-MRI Prediction of Breast Cancer Therapy Response: A Preliminary Study
Alina Tudorica1, David C Newitt2, Karen Y Oh1, Nicole Roy1, Stephen Y-C Chui1, Arpana Naik1, Megan L Troxell1, Yiyi Chen1, Aneela Afzal1, Megan L Holtorf1, Nola M Hylton2, and Wei Huang1
1Oregon Health & Science University, Portland, OR, United States, 2University of California, San Francisco, CA, United States

High-temporal-resolution (17-20 s) DCE-MRI data were collected from 14 breast cancer patients (15 tumors) before and after one cycle of neoadjuvant chemotherapy. The original data were analyzed with pharmacokinetic (PK) modeling, while the resampled low-temporal-resolution (80-100 s) data were used to quantify functional tumor volumes (FTV) based on threshold values of early percent signal change and signal enhancement ratio. Empirical analysis based FTV metrics performed comparably for early prediction of pathologic response in comparison with quantitative PK parameters.

2 0667. Can Model Weighting Improve the Accuracy of DCE-MRI Parameter Estimation?
Xia Li1, Lori R. Arlinghaus1, Erin Rericha1, and Thomas Yankeelov1
1Vanderbilt University, Nashville, Tennessee, United States

Many pharmacokinetic models have been proposed for analyzing dynamic contrast enhanced MRI with different assumptions. It is difficult to select which model is most appropriate for a particular study. To address this limitation, we have taken an approach in which multiple models are weighted by a factor determined by how well they fit the data. We analyze each voxel in a DCE-MRI data set with an array of models and compute the Akaike Information Criteria for each fit. The AIC is then used to determine the statistically optimal model on a voxel-by-voxel basis.

3 0668. Impact of Non-rigid Motion Correction on Pharmaco-kinetic Analysis for Breast Dynamic Contrast-Enhanced MRI - permission withheld
Venkata Veerendra Nadh Chebrolu1, Dattesh Shanbhag1, Reem Bedair2, Sandeep Gupta3, Patrice Hervo4, Scott Reid5, Fiona Gilbert2, Andrew Patterson6, Martin Graves7, and Rakesh Mullick8
1Medical Image Analysis Lab, GE Global Research, Bangalore, Karnataka, India, 2Radiology, University of Cambridge, Cambridge, United Kingdom,3Biomedical Image Analysis Lab, GE Global Research, NY, United States, 4GE Healthcare, Buc, France, 5GE Healthcare, Amersham, United Kingdom,6Cambridge University Hospitals Trust, Cambridge, United Kingdom, 7Radiology, Cambridge University Hospitals Trust, Cambridge, United Kingdom,8Diagnostics & Biomedical Technologies, GE Global Research, Bangalore, Karnataka, India

Dynamic contrast-enhanced (DCE)-MRI is increasingly being used in understanding the pharmaco-kinetic (pK) characteristics of breast tumors. The Ktrans and ve estimates used in tumor characterization depend on the DCE concentration time courses. Cardiac pulsation, breathing and voluntary patient motion introduce rigid and non-rigid motion, which may corrupt the DCE analysis. Previous work demonstrated symmetric diffeomorphic normalization (SyN) to be more effective than b-splines based approaches in correcting for motion in breast DCE MRI. In this work we demonstrate the impact of SyN based non-rigid registration on pK modelling for breast DCE-MRI.

4 0669.
Dynamic Contrast Enhanced MRI Estimate of Tumor Interstitial Fluid Pressure in Solid Brain Tumors
Madhava P Aryal1, Tavarekere N Nagaraja2, Rasha Elmghribi1,3, Kelly A Keenan2, Swayamprava Panda1, Glauber Cabral1, Stephen L Brown4, and James R Ewing1,3
1Dept. of Neurology, Henry Ford Hospital, Detroit, MI, United States, 2Dept. of Anesthesiology, Henry Ford Hospital, Detroit, MI, United States, 3Dept. of Physics, Oakland University, Rochester, MI, United States, 4Dept. of Radiation Oncology, Henry Ford Hospital, Detroit, MI, United States

In many solid tumors an elevated tumor interstitial fluid pressure (TIFP) is a central and potentially critical element for assessing therapeutic response. The present study examined the possibility of evaluating TIFP non-invasively using dynamic contrast enhanced MRI (DCE-MRI) data in a rat model of cerebral glioma. A significant correlation between DCE-MRI derived TIFPs with those of WIN estimates (n=9, R=0.77, p≤0.02) was established. These data strongly demonstrate the possibility of employing DCE-MRI for non-invasive estimates of TIFP in solid tumors, and also provides a means for estimating fluid conductivity in tumor surround.

5 0670. Quantitative Perfusion Measurements in Renal Masses with Arterial Spin Labeling and Dynamic Contrast Enhanced MRI at 3T Correlate with Microvessel Density at Histopathology
Yue Zhang1, Payal Kapur2,3, Qing Yuan1, Ananth Madhuranthakam1,4, Ingrid Carvo5, Sabina Signoretti5, Ivan Dimitrov6, Yin Xi1, Katherine Wicks1, Jeffrey Cadeddu1,3, Vitaly Margulis3, James Brugarolas7,8, and Ivan Pedrosa1,4
1Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States, 2Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, United States, 3Urology, University of Texas Southwestern Medical Center, Dallas, Texas, United States, 4Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States, 5Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, United States, 6Philips Medical Systems, Cleveland, Ohio, United States, 7Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States, 8Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, United States

Our aim was to investigate the correlation between in vivo perfusion measurement of renal masses by arterial spin labeling (ASL) and dynamic contrast-enhanced (DCE) MRI at 3T and validate these results against microvessel density (MVD) at histopathology. Quantitative ASL perfusion (PASL) and DCE parameters were obtained from the whole tumor, and from areas with high- and low- perfusion within the tumor. ASL measured blood flow in renal masses correlates with DCE-derived parameters.PASL, Ktrans, and Kep correlate with MVD. ASL and DCE MRI at 3T provide a tool for assessing angiogenesis in renal cancer.

6 0671.
Classification of tumor sub-volumes based on Dynamic Contrast Enhanced MRI model hierarchy for Locally Advanced Cervical Cancer - permission withheld
Jesper Folsted Kallehauge1,2, Thomas Nielsen3, Markus Alber1, Søren Haack2,4, Erik Morre Pedersen5, Jacob Christian Lindegaard2, Anne Ramlov2, and Kari Tanderup6,7
1Dept. of Medical Physics, Aarhus University Hospital, Aarhus, Denmark, 2Dept. of Oncology, Aarhus University Hospital, Aarhus, Denmark, 3CFIN/Mindlab, Aarhus University Hospital, Aarhus, Denmark, 4Dept. of Clinical Engineering, Aarhus University Hospital, Aarhus, Denmark, 5Dept. of Radiology, Aarhus University Hospital, Aarhus, Denmark, 6Dept. of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark, 7Dept. of Clinical Medicine, Aarhus University, Aarhus, Denmark

We applied a set of hierarchical tracer kinetic models to DCE-MRI data acquired prior to patient treatment in cervical cancer patients. This study identified contiguous regions where given kinetic models were optimal and identified that high volume fraction reflecting tissue enhancement best described by Tofts model correlated with tumor stage.

7 0672. Evaluation of Stretched-Exponential Model for Diffusion-Weighted Imaging of breast lesions Using High b Values: comparison with monoexponential Diffusion Weighted Imaging
Chunling Liu1, Changhong Liang1, Yingjie Mei2, Zaiyi Liu1, and Jine Zhang1
1Department of Radiology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China, 2Philips Healthcare, Guangzhou, Guangdong, China

Breast cancer is the most commonly diagnosed type of cancers of women. In this study, we obtained the parameters (ADCs and ¦Á) information using a stretched-exponential model with high b-values for normal breast and breast lesions and compared them to apparent diffusion coefficient (ADC) with conventional DWI in their ability to discriminate benign lesions and malignant tumors. 77 patients underwent a standard bilateral breast MRI examination including DWI sequence and ADCs, ¦Á and ADC were obtained according to different diffusion models. The statistical analysis results suggest that ADCs of the stretched model can be used to differentiate benign and malignant lesions and has the highest specificity, comparing the conventional ADC, however, ¦Á is not different between benign and malignant tumors and may be further investigated.

8 0673. SUV-ADC mapping of malignant and benign prostate lesions with PET-MRI - permission withheld
Yachao Liu1, Jiangping Gao2, Jiajin Liu1, Hui Liu3, Yong Xu2, Baixuan Xu1, and Jiahe Tian1
1Nuclear Medicine Department, PLA 301 General Hospital, Beijing, Beijing, China, 2Urology Department, PLA 301 General Hospital, Beijing, China, 3NEA MR Collaboration, Siemens Ltd., China, Shanghai, China

Although 11C-Choline PET/CT has approved a valuable tools for recurrent prostate cancer detection and treatment evaluation. However, it is still a problem for primary prostate cancer. The combined MRI with 11C-Choline PET could be potentially useful for primary prostate cancer. We are evaluating the combined features of MRI and PET to improve the diagnostic performance of primary prostate.

9 0674. Simultaneous 18F-FACBC PET/MRI for loco-regional staging of prostate cancer: considerations on imaging protocol design
Mattijs Elschot1, Kirsten M. Selnæs1,2, Brage Krüger-Stokke1,3, Øystein Størkersen4, Helena Bertilsson5,6, Siver A. Moestue1,2, and Tone F. Bathen1,2
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway, 2St Olavs Hospital, Trondheim, Sør-Trøndelag, Norway, 3Department of Radiology, St Olavs Hospital, Trondheim, Sør-Trøndelag, Norway, 4Department of Pathology, St Olavs Hospital, Trondheim, Sør-Trøndelag, Norway, 5Department of Urology, St Olavs Hospital, Trondheim, Sør-Trøndelag, Norway, 6Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway

18F-FACBC PET/CT imaging has shown promise for the assessment of primary and metastatic prostate cancer, especially in conjoint use with MRI. Simultaneous PET/MRI may therefore be an interesting option, but designing the imaging protocol is complicated by the fast kinetics of 18F-FACBC and the long scan time required for multiparametric MRI. Based on the dynamic uptake of 18F-FACBC in 11 patients that underwent PET/MRI for pre-operative staging of high-risk prostate cancer, we propose a realistic protocol that includes 45 minutes of PET imaging in addition to all MRI sequences required for clinical evaluation of the prostate and pelvic lymph nodes.

10 0675. Multiparametric hybrid 18FDG-PET/MRI in patients with Multiple Myeloma: initial experience
Jennifer Mosebach1, Christos Sachpekidis2, Martin Freitag1, Jens Hillengass3, Antonia Dimitrakopoulou-Strauss2, Uwe Haberkorn4, Heinz-Peter Schlemmer1, and Stefan Delorme1
1Department of Radiology, German Cancer Research Center, Heidelberg, Germany, 2Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany, 3Department of Medicine V, Multiple Myeloma Section, University of Heidelberg, Heidelberg, Germany, 4Division of Nuclear Medicine, University of Heidelberg, Heidelberg, Germany

Hybrid PET/MRI examinations offer an innovative approach to simultaneously depict metabolic as well as functional and anatomical MR parameters. Fifteen patients newly diagnosed with Multiple Myeloma received whole body PET/MRI including Diffusion-weighted Imaging (DWI). Lesion by lesion based analysis as well as comparison of standard-uptake-values (SUV) and Apparent-diffusion-coefficient (ADC)- values were conducted. For the detection of focal bone marrow infiltrates, PET and DWI can be complementary, with PET displaying more lesions located in ribs, whereas DWI seems to have advantages discovering lesions masked by the surrounding diffuse myeloma infiltrate. Those patients could therefore especially benefit from multimodality imaging.

Rajakumar Nagarajan1, Neil Wilson1, Nanette DeBruhl1, Brian Burns1, Melissa Joines1, Maithili Gopalakrishnan1, Fausto Rendon1, Lawrence W Bassett1, and M.Albert Thomas1
1Radiological Sciences, UCLA School of Medicine, Los Angeles, CA, United States

Early detection and diagnosis are essential for successful treatment of breast cancer. Magnetic Resonance Spectroscopy (MRS) can provide high specificity for distinguishing benign from malignant lesions. The four dimensional (4D) echo-planar correlated spectroscopic imaging (EP-COSI) enables full slice coverage of the breast facilitating recording of multi-voxel based two-dimensional (2D) MRS than the single-voxel based localized correlated spectroscopy (L-COSY). The 4D EP-COSI offers improved spectral dispersion and sensitivity compared with 1D MRS data. Decreased ADC values derived from diffusion weighted imaging (DWI) can be correlated with increased choline and decreased lipids quantified by the EP-COSI technique.

12 0677.
Relaxation-weighted sodium MRI of breast lesions at 7T
Stefan Zbyn1, Olgica Zaric1, Vladimir Juras1, Katja Pinker2, Alex Farr3, Nadia Benkhedah4, Pascal Balzer2, Vladimir Mlynarik1, Armin Nagel4, Christian Singer3, Thomas Helbich2, Wolfgang Bogner1, and Siegfried Trattnig1
1High Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Division of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Department of Gynecology and Obstetrics, Medical University of Vienna, Vienna, Austria, 4Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

The aim of this study was to compare total sodium signal with relaxation-weighted sodium signal in breast lesions at 7T. While conventional sodium density images showed a signal proportional to the local sodium concentration, sodium ions with a longer T2*, such as in a cyst or edema, were well suppressed in relaxation-weighted images. Our data demonstrated improved differentiation between edema, benign lesion and breast cancer with relaxation-weighted sodium images than with conventional sodium density images. Combined information from conventional and from relaxation-weighted sodium images may improve noninvasive evaluation of breast lesions.

13 0678. Noninvasive assessment of lymphatic impairment and interstitial protein accumulation using chemical exchange saturation transfer (CEST) MRI
Manus Donahue1,2, Paula CM Donahue3,4, Swati Rane1, Megan K Strother1, Allison O Scott1, and Seth A Smith1
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, 3Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, United States, 4Dayani Center for Health and Wellness, Nashville, TN, United States

The overall goal of this work is to apply a custom CEST imaging approach to patients with, or at risk for, breast cancer treatment-related lymphedema (BCRL) to assess interstitial protein accumulation and lymphatic compromise. Elevated interstitial protein accumulation is a hallmark for lymphatic failure; results of this study support the ability of APT CEST to provide contrast consistent with lateralizing disease in patients with breast cancer treatment-related lymphedema, thereby motivating the further investigation of these and similar methods for evaluating lymphatic dysfunction.

14 0679. Combining ‘omics’; metabolic breast cancer subclass correlation with protein and gene expression subtypes
Tonje H. Haukaas1,2, Leslie R. Euceda1, Guro F. Giskeødegård1, Marit Krohn2,3, Ellen Schlichting4, Rolf Kåresen2,4, Sandra Nyberg2,3, Kristine Kleivi Sahlberg2,3, Anne-Lise Børresen-Dale2,3, and Tone F. Bathen1,2
1Department of Circulation and Medical Imaging, Faculty of Medicine, NTNU, Trondheim, Norway, 2K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway, 3Department of Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway, 4Department of Surgery, Oslo University Hospital, Ullevål, Oslo, Norway

Here we combine gene and protein expression subtypes with three metabolic subclasses found from hierarchical clustering of HR MAS MR spectra: c1, c2 and c3. The relative levels of 16 metabolites were significantly different between at least two of the subclasses. RPPA-subtype distribution was significantly different between the metabolic subclasses. INMEX uncovered metabolic and transcriptomic differences in glycerophospholipid metabolism between c1 and c2. GSEA revealed changes in pathways related to collagens and extracellular matrix in c1 and c3 when compared to c2. Thus, the combination of different molecular levels provides insight into the heterogeneity of breast cancer.

15 0680. Using Radiogenomics to Characterize MRI-Guided Prostate Cancer Biopsy Heterogeneity - permission withheld
Radka Stoyanova1, Alan Pollack1, Nicholas Erho2, Charles Lynne3, Lucia Lam2, Christine Buerki2, Sakhi Abraham1, Merce Jorda4, Olexandr Kryvenko4, Matthew Abramowitz1, Elai Davicioni2, and Adrian Ishkanian1
1Radiation Oncology, University of Miami, Miami, Florida, United States, 2GenomeDx Biosciences, Vancouver, British Columbia, Canada, 3Urology, University of Miami, Miami, Florida, United States, 4Pathology, University of Miami, Miami, Florida, United States

Current clinicopathological factors explain just a fraction of the observed heterogeneity in prostate cancer patient outcome. In this study we address the question whether quantitative imaging data from multiparametric (MP)-MRI are associated with gene expression characteristics (radiogenomics) and how these in turn relate to Gleason score (GS) and intra-patient versus inter-patient genomic heterogeneity. Quantitative MP-MRI-targeted diagnostic biopsies can potentially improve risk classification by directing pathological and genomic analysis to highest risk index lesions. This is the first demonstration of a link between quantitative imaging features (radiomics) with genomic features in MRI-directed prostate biopsies.