ISMRM & SMRT Annual Meeting • 15-20 May 2021

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Digital Posters

Breast: All About Cancer

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Breast: All About Cancer
Digital Poster
Body
Monday, 17 May 2021
Concurrent 7 13:00 -  14:00
Session Number: D-11
Parent Session: Breast: What's New

      1133.
Histogram analysis of synthetic MRI parameters  correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer

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Qin Li1, Pu-Yeh Wu2, and Yajia Gu1
1Fudan University Shanghai Cancer Center, Shanghai, China, 2GE Healthcare, Beijing, China
This study quantitatively evaluated intra-tumoral heterogeneity through histogram analysis of synthetic MRI parameters, and determined correlations with prognostic factors and molecular subtypes of breast IDC. We found that IDC with high nuclear grade had higher PD10th, PDmean, PDmedian and PDmax. PDmedian was higher in IDC with HER2 positivity. T110th was higher in cancers with PR negativity. Cancers with hormone receptornegativity had higher T210th, T2mean and T2median than that with hormone receptor positivity. Overall, we demonstrated that whole-tumor histogram-based imaging features derived from synthetic MRI correlated with prognostic factors and may be considered a non-invasive approach for discriminating IDC subtypes.
      1134.
Quantitative transport mapping for classifying malignant breast lesion: Comparison with kinetic modeling and enhancement characteristics

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Qihao Zhang1, Michele B Drotman1, Christine Chen1, Thanh Nguyen1, Pascal Spincemaille1, and Yi Wang2
1Weill Cornell Medical College, New York, NY, United States, 2Cornell University, New York, NY, United States
We evaluate quantitative transport mapping (QTM) based on the inversion of transport equation without any arterial input function (AIF) for automatically postprocessing dynamic contrast enhanced MRI (DCE-MRI) to differentiate malignant and benign breast tumors using biopsy pathology as reference and comparing with traditional Kety’s method and enhancement curve characteristics (ECC). Automated QTM velocity was found to be the most accurate, then ECC enhancement amplitude with manual ROI, and lastly Kety’s Ktrans  with a manual AIF for differentiating malignant from benign breast tumor.
      1135.
Feasibility of respiratory self-gated free breathing supine breast DCE-MRI using data-driven model consistency condition reconstruction

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Ping N Wang1, Julia V Velikina2, Alexey A Samsonov2, Lloyd Estkowski3, Ty A Cashen3, Frederick Felcz2, Roberta M Strigel1,2,4, Frank R Korosec1,2, and James H Holmes2
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 4Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States
Advanced acquisition and reconstruction methods have been proposed to improve spatial and temporal resolution for prone breast DCE. However, limited work has been performed in the supine setting, which is used in most downstream clinical services including surgery and biopsy. In this work, we propose a radial acquisition combined with self-gating and MOCCO reconstruction. We assess performance of these methods using a simulated breast phantom with respiratory motion and contrast kinetics allowing evaluation of reconstruction accuracy against the assigned ground truth. Evaluation of both spatial and temporal quality was also performed in a first in-vivo patient volunteer.
      1136.
Increased Saturated Fatty Acid Fraction in the Adipose Tissue Near Malignant Tumors in Breast Cancer Patients

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Mehran Baboli1, Pippa Storey2, Terlika Pandit Sood2, Justin Fogarty2, Melanie Moccaldi2, Alana Lewin2, Linda Moy2, and Sungheon Gene Kim1
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, NYU Langone Health, New York, NY, United States
We assessed the distribution of saturated fatty acid (SFA) in the adipose tissue around malignant tumors and the whole breast of patients with benign and malignant lesions. Bilateral gradient echo spectroscopic imaging sequence was acquired simultaneously. A voxel-wise analysis in the frequency domain was then applied to measure the SFA in each breast's adipose tissues and peri-tumoral region. Our results showed that the SFA was significantly higher around the malignant tumor than on the contralateral side, while no significant changes were observed with benign lesions. The results indicate that the SFA may be closely associated with the malignancy of lesions.
      1137.
The value of IVIM-DWI in early prediction of efficacy of neoadjuvant chemotherapy for breast cancer

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Ting-ting Lin1 and Jiang-ning Dong2
1Radiology Department, Anhui Provincial Cancer Hospital, Hefei, China, 2Radiology department, Anhui Provincial Cancer Hospital, Hefei, China
The aim of our study was to investigate the early predictive value of IVIM-DWI in neoadjuvant chemotherapy for breast cancer. 43 cases of breast cancer confirmed by pathological puncture biopsy in our hospital were enrolled in this study. Four courses of neoadjuvant chemotherapy were used to evaluate the efficacy. The conclusion obtained via the present study is IVIM-DWI can predict the early curative effect of neoadjuvant chemotherapy for breast cancer and evaluate its effectiveness. It can assist conventional MRI to evaluate the curative effect.
      1138.
Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer

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Kwok Shing Chan1,2, Sai Man Cheung1, Nicholas Senn1, Yazan Masannat3,4, Ehab Husain4,5, Steven D Heys3, and Jiabao He1
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 5Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
Lipid composition in breast has a major role in breast cancer prevention, with deregulation of lipid metabolism identified in BRCA1/2 genetic mutation carriers. Neoplastic tubule formation can infiltrate adipose tissue in peri-tumoural region, with low tubular differentiation indicating a poorer prognosis. Lipid composition measurement through biochemical extraction is invasive, while conventional spectroscopic imaging demands an intolerably long acquisition time. Novel method using chemical shift-encoded imaging (CSEI) allows lipid composition mapping of the whole breast in a clinically acceptable timeframe. We set out to examine the relationship between peri-tumoural lipid composition and tubule formation using CSEI in breast tumours.
      1139.
Differential Subsampling with Cartesian Ordering in Differentiating Benign and Malignant Lesions of the Breast

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Yafei Guo1, Lin Lu1, Meiying Cheng1, Kaiyu Wang2, Jinxia Guo2, Xin Zhao1, and Xiaoan Zhang1
1the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China
Accurate characterization of clinically-indeterminate breast masses before surgery is crucial for proper disease management. While DCE-MRI has emerged as a problem-solving technique, traditional DCE-MRI still lacks a certain quantitative standard because of its technical defects. In this study, DISCO, as a new dynamic contrast enhanced technique, was used to scan breast lesions, and the effectiveness of its parameters in the diagnosis and differential diagnosis of benign and malignant lesions was analyzed. 
      1140.
Combination of IVIM with DCE-MRI in diagnosis and prognostic evaluation of breast cancer

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Yurong Zheng1, Rui Wang1, Li Li1, Haoyuan Li1, Pengfei Wang1, Tiejun Gan1, Jing Zhang1, and Kai Ai2
1Department of Magnetic Resonance, LanZhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi’an, China
Intravoxel incoherent motion (IVIM) combined with Dynamic Contrast Enhanced MRI (DCE-MRI) are meaningful MRI techniques applied to breast cancer. This study used DCE-derived parameters (voiume translocation constant, Ktrans and rate constant, Kep) and IVIM-derived parameters (diffusion coefficient, D and perfusion fraction, f)  to perform correlation analysis with prognosis of breast cancer indexes (ER, PR, her-2, Ki-67). The preliminary results showed that there were correlations between Ktrans, Kep, D and prognostic factors of breast cancer. Our research may provide more important clinical evidence for the treatment and prognosis of breast cancer.  
      1141. The Performance of Breast Diffusion Tensor Imaging in the Evaluation of Pre-Surgical Treatment of Breast Cancer.

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Anabel M Scaranelo1, Edna Furman-Haran2, Abdullah Alabousi3, Dov Grobgeld2, Vivianne Freitas1, and Hadassa Degani4
1Medical Imaging, University of Toronto, Toronto, ON, Canada, 2Weizmann Institute of Science, Rehovot, Israel, 3Department of Radiology, St Joseph's Healthcare. McMaster University, Hamilton, ON, Canada, 4DDE MRI Solutions Ltd., Tel Aviv, Israel
Response to breast neoadjuvant systemic therapy (NAST)  was longitudinaly monitored with Diffustion Tensor Imaging (DTI)  pre and post therapy and evaluated in reference to post surgery histopatholgy results.   A correlation was demonstrated between DTI residual tumor size and pathology size. Response in  the various breast cancer subtypes was revealed by increased λ 1 values  validated by a  correlation with the pathological  residual disease. DTI detected pCR in all breast subtypes with a good sensitivity and specificity
      1142.
Multisite generalizability comparison of Dynamic Contrast Enhanced Breast MRI Breast Cancer Recurrence Score Models at multiple scales

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Michael Liu1, Richard Ha1, Terry Button2, Yucheng Liu1, Yun-Hsu Hao3, and Sachin Jambawalikar1
1Radiology, Columbia University, New York, NY, United States, 2Stonybrook University, Stonybrook, NY, United States, 3Columbia University, New York, NY, United States
Multisite Breast Dynamic Contrast Enhanced MRI based Oncotype DX score models benefit from multiscale sampling
      1143.
Registration-based whole breast segmentation enables highly reproducible quantitative MR-based breast density

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Jia Ying1, Renee Cattell1, and Chuan Huang1,2,3
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States
Clinical determination of mammographic breast density (MD) is subjective and can also suffer from intra- and inter-reader variability. MR-based quantitative assessment of breast density has a few unique advantages over mammography. However, accurate whole breast segmentation is crucial. Manual whole breast segmentation is burdensome and current automated methods also suffer from weaknesses. In this work, a new whole breast segmentation strategy based on image registration is proposed. The test-retest reliability of breast density derived using different segmentation methods was quantitatively assessed. The results demonstrated this new segmentation method yields more reproducible values compared to existing methods.
      1144.
B-value derivation for diffusion-weighted Double-Echo Steady-State (dwDESS) sequences

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Ulrich Katscher1, Jakob Meineke1, Shuo Zhang2, and Jochen Keupp1
1Philips Research Europe, Hamburg, Germany, 2Philips Healthcare, Hamburg, Germany
To quantify diffusion weighting and to calculate the diagnostically valuable “Apparent Diffusion Coefficient” (ADC) in MR-based “Diffusion-Weighted Imaging” (DWI), a standardized b-value is typically used. To avoid typical shortcomings of standard DWI, diffusion-weighted double-echo-steady-state (dwDESS) sequences were proposed, which don’t show geometrical distortions. Balanced bipolar dwDESS, in particular, provides high SNR and is robust against motion. However, a proper definition of the b-value equivalent to standard DWI is not yet well addressed. This study investigated an estimation for effective b-values in dwDESS based on approximation of the underlying signal model, which was verified in phantom and human measurements.  
      1145.
High spatial and temporal resolution breast DCE-MRI using MOCCO reconstruction for quantitative PK analysis

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Ping N Wang1, Julia V Velikina2, Leah C Henze Bancroft2, Alexey A Samsonov2, Frederick Felcz2, Roberta M Strigel1,2,3, and James H Holmes2
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States
Radial acquisition with MOCCO reconstruction has been proposed for high spatial and temporal resolution breast DCE imaging. However, the performance of the method has not been evaluated across a wide range of temporal enhancement curves. In this work, we use a breast digital reference object with the ability to provide a wide range of lesion contrast kinetics using the extended Tofts model for pharmacokinetic simulation. A voxel-by-voxel quantitative analysis was applied and compared with the ground truth.  
      1146.
Impact of low-rank denoising on abbreviated breast diffusion-weighted acquisitions: accuracy and repeatability

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Patrick J Bolan1, Jessica A McKay2, Mehmet Akcakaya3, An L Church4, Michael T Nelson4, Kamil Ugurbil1, and Steen Moeller1
1Radiology / Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Radiology, Stanford University, Palo Alto, CA, United States, 3Electrical and Computer Engineering /CMRR, University of Minnesota, Minneapolis, MN, United States, 4Radiology, University of Minnesota, Minneapolis, MN, United States
This study explores the use of a low-rank denoising technique (NORDIC) on breast DWI. Accuracy and repeatability were assessed by subdividing full acquisitions into shorter scans, calculating ADC with and without NORDIC, and comparing the resultant ADC maps. We found that the denoising effects were dependent on SNR – low SNR regions (e.g., background) had greater denoising efficacy than high SNR regions. These findings indicate that NORDIC may help improve assessment of small lesions, and could be used to prospectively optimize higher-resolution acquisition protocols.
      1147.
Triple negative breast cancer COX-2 expression distinctly alters spleen metabolism in immunocompromised mice compared to immunocompetent mice

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James Dion Barnett1, Marie-France Penet1, Balaji Krishnamachary 1, Zaver Bhujwalla1, Flonne Wildes1, Santosh Kumar Bharti1, and Yelena Mironchik1
1The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Cycloxygenase-2 (COX-2) is a pathological marker of high clinical relevance. COX-2 initiates the biosynthesis of inflammatory and immunosuppressive prostanoids to promote a hostile tumor microenvironment. Solid tumors rely on vital organs such as the spleen to survive, proliferate and evade immune recognition. We modulated breast cancer COX-2 expression to investigate the metabolic effects in the spleen of immunocompetent and immunocompromised mice. High resolution 1H magnetic resonance spectroscopy (MRS) was performed to identify changes in spleen metabolites. We observed distinct, COX-2-dependent increases in various metabolites in severe combined immunodeficient (SCID) mice compared to immunocompetent BALB/c mice.
      1148.
Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy

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Sai Man Cheung1, Ehab Husain2,3, Vasiliki Mallikourti1, Yazan Masannat3,4, Steven D Heys4, and Jiabao He1
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
Lymphovascular invasion (LVI) is associated with increased recurrence and metastatic risk in breast cancer. LVI, with genetic mutation in metabolism of saturated and monounsaturated fatty acids, leads to the deregulation of lipid composition. Currently LVI is estimated using the pre-operative core biopsy, while definitive LVI can only be determined after surgery, precluding patients to receive timely neoadjuvant chemotherapy or hormonal treatment. Double quantum filtered correlation spectroscopy (DQF-COSY) is a method capable of accurate non-­invasive lipid composition quantification. We therefore hypothesised there is a difference in lipid composition derived from DQF-COSY between LVI status.
      1149.
Fast Longitudinal Image REgistration (FLIRE) for Breast MRI

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Michelle W Tong1, Maren M. Sjaastad Andreassen2, Ana Rodríguez-Soto1, Christopher C Conlin1, Tyler Seibert3, Michael Hahn1, Rebecca Rakow-Penner1, and Anders M Dale1
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Radiation Oncology, University of California, San Diego, La Jolla, CA, United States
MRI is commonly used to evaluate breast cancer response to neoadjuvant chemotherapy. Image registration algorithms aid diagnostic accuracy by correcting changes in patient position across visits. A novel technique, Fast Longitudinal Image REgistration (FLIRE), was evaluated by comparison to a standard algorithm optimized for breast tissue, DRAMMS. Breast images acquired over the course of neoadjuvant treatment were registered to baseline images. FLIRE runtime was 5 minutes (~20× faster).  With this fast processing time, FLIRE performed within 2.5-10.2% of optimized DRAMMS in similarity measures. Overall accuracy and computation speed for FLIRE with default arguments demonstrates promise for clinical time-sensitive applications. 
 
  1150.
Time-dependent IVIM/Non-Gaussian parameters between in vivo and post-mortem breast cancer xenograft models

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Yuko Someya1, Mami Iima1,2, Hirohiko Imai3, Hiroyoshi Isoda1, Masako Kataoka1, Denis Le Bihan4,5,6, and Yuji Nakamoto1
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, 2Department of Clinical Innovative medicine, Institute for advancement of clinical and translational science, Kyoto University Hospital, Kyoto, Japan, 3Department of Systems science, Graduate School of Informatics, Kyoto University, Kyoto, Japan, 4NeuroSpin/Joliot, CEA-Saclay Center, Paris-Saclay University, Gif-sur-Yvette, France, 5Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 6National Institute for Physiological Sciences, Okazaki, Japan
We investigated the time-dependency of IVIM /non-Gaussian diffusion parameters in vivo and post-mortem using breast xenograft models (MDA-MB-231). fIVIM, perfusion-related fraction, dropped abruptly post-mortem, though not reaching 0 completely, suggesting imperfect modeling. fIVIM, estimated from the pseudo-diffusion model, was independent of the diffusion time. The significant decrease of sADC and ADC0 values and the increase in K values observed between short and long diffusion times, as well as after sacrification are in accordance with an increase in diffusion hindrance, as more water molecules hit many boundaries, such as cell membranes. However, different mechanisms may be at stake.
      1151.
Evaluation of CEST-mDixon imaging for breast malignancy characterization and staging: correlation with histopathology

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Ioannis Papadopoulos1, Ivan Dimitrov2, Jochen Keupp3, Durga Udayakumar1,4, Stephen Seiler1, Sunati Sahoo5, Yin Xi1, Emily Knippa1, Robert Lenkinski1,4, Ananth Madhuranthakam1,4, Shu Zhang6, and Elena Vinogradov1,4
1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Philips Healthcare, Gainesville, FL, United States, 3Philips Research, Hamburg, Germany, 4Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 5Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 6Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
CEST-mDixon imaging utilizing hydroxyl and amine pools could aid breast tumor diagnosis, as shown in previous preliminary studies. In the current study, CEST-mDixon is evaluated in a breast cancer patient cohort using improved saturation and acquisition parameters. The results agree with previous findings demonstrating moderate linear correlation of CEST effects at 1 ppm and 2 ppm with Ki-67. In addition, we observe a linear correlation with the percentage of cells positive for nuclear expression of the progesterone receptor (PR), the first such observation reported. Overall, the study confirms the potential for CEST-mDixon for characterizing breast tumor aggressiveness non-invasively.
      1152.
Electric properties tomography (EPT) of breast tissue using High Spectral and Spatial resolution (HiSS) MRI

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Milica Medved1, Ulrich Katscher2, Hiroyuki Abe1, and Gregory S Karczmar1
1Department of Radiology, The University of Chicago, Chicago, IL, United States, 2Philips Research, Hamburg, Germany
Current breast MRI protocols are heavily reliant on dynamic contrast-enhanced MRI (DCEMRI), but this practice is not ideal, due to recently reported findings of long-term gadolinium deposition in several tissues.  We demonstrate feasibility of EPT analysis as applied to HiSS MRI data, which could simplify the process of lesion delineation relative to the current method and may thus improve the diagnostic accuracy of non-contrast breast MRI.  Linearly extrapolated phase, to TE = 0 ms, from complex multi-TE gradient echo images obtained using HiSS MRI was used for this purpose.

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