Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Breast MRI Sequences and Clinical Developments

Breast MRI Sequences and Clinical Developments

Digital Poster

Body

Tuesday, 12 May 2026

Digital Posters Row A

14:35 - 15:30

Session Number: 460-04

No CME/CE Credit

Similar Sessions

This session highlights the clinical use of new sequences in breast MRI and their clinical value in different circumstances

		460-04-001. Spatio–temporal Denoising of Ultrafast DCE-MRI Using Marchenko-Pastur principal component analysis Mehdi Fartash, Federico Pineda University of Pittsburgh, Pittsburgh, United States of America Impact: Ultrafast breast DCE-MRI is prone to noise due to short acquisition times. MP-PCA spatiotemporal denoising improves both spatial and temporal image quality, preserves anatomical and kinetic information, and may enable more accurate and reliable lesion characterization and diagnostic interpretation
		460-04-002. Deregulation of lipid composition in the breast of BRCA1/2 genetic mutation carriers using chemical shift-encoded imaging Sai Man Cheung, Kwok-Shing Chan, Senthil Kumar Arcot Ragupathy, Zosia Miedzybrodzka, Jiabao He Newcastle University, Newcastle upon Tyne, United Kingdom Impact: Deregulation of lipid composition in the breast of BRCA1/2 genetic mutation carriers resembles the diseased group, serving as potential precursor of breast cancer. CSEI yields highly repeatable quantitative maps of lipid composition critical for effective early cancer detection and surveillance.
		460-04-003. Can Advanced Diffusion Models of FROC and CTRW Distinguish Luminal Subtype from Non-luminal Breast Cancer? Huan Chang, Jiyan Gao, Tongli Cao, Qingshi Zeng Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China Impact: This study highlights the clinical value of fractional order calculus (FROC) and continuous time random walk (CTRW) models for preoperative breast cancer subtyping. A key advantage is their ability to extract richer information from routine multi-b-value DWI without extra scanning.
		460-04-004. Ultrafast DCE-MRI in Breast Cancer: Catching Washout Earlier Than Conventional Timing Yusuke Jo, Mami Iima, Hiroko Satake, Kosuke Nanataki, Aki Mano, Yutaka Kato, Satoko Ishigaki, Rintaro Ito, Ryota Hyodo, Hiroshi Imai, Yoshito Ichiba, Marcel Dominik Nickel, Shinji Naganawa Nagoya University Graduate School of Medicine, Nagoya, Japan Impact: Ultrafast dynamic contrast-enhanced MRI captures rapid signal changes immediately after contrast injection. While previous studies focused on early enhancement, this study investigated breast cancers exhibiting early washout patterns during the ultrafast phase to explore their characteristics.
		460-04-005. Beyond the trade-off: combined ultrafast and conventional 4D-DCE for breast MRI Narine Mesropyan, Christoph Katemann, Johannes Peeters, Oliver Weber, Can Yueksel, Julian Luetkens University Hospital Bonn, Bonn, Germany Impact: A novel 4D stack-of-stars DCE-MRI sequence enables high-quality breast imaging with improved BI-RADS agreement and diagnostic confidence, particularly when ultrafast and conventional DCE approaches are combined within a single protocol.
		460-04-006. Dynamic Contrast Enhanced-MRF Improves Detection of Induced Vascular Perfusion Reduction in a Mouse Breast Cancer Model Christina MacAskill, Bernadette Erokwu, Yuran Zhu, Guanhua Wang, Andrew Dupuis, Barbara Schiemann, Gopalakrishnan Ramamurthy, Chetan Dhakan, Michael Kavran, Chunying Wu, William Schiemann, Yilun Sun, Mark Griswold, Xin Yu, Mark Pagel, Chris Flask Case Western Reserve University, Cleveland, United States of America Impact: DCE-MRF’s superior precision enables reliable assessments of tumor perfusion in response to therapy, overcoming the fundamental limitation of conventional perfusion assessments from DCE-MRI. This study establishes DCE-MRF for both preclinical treatment monitoring and future clinical studies in cancer patients.
		460-04-007. Glucosamine-CEST MRI in Breast Cancer: Correlation with BI-RADS Grade Michal Rivlin, Rotem Sivan-Hoffmann, Vivian Hadar, Naomi Weisenberg-Cusnir, Olga Shmain-Naydenov, Stephanie Sukhotnik, Moritz Zaiss, Simon Weinmüller, Gil Navon Tel Aviv University, Tel Aviv, Israel Impact: Glucosamine-CEST MRI provides a novel, radiation-free approach for metabolic imaging of breast cancer. Its strong correlation with BI-RADS grade highlights its potential as a clinically translatable, noninvasive biomarker for differentiating malignant from benign lesions and improving diagnostic specificity.
		460-04-008. Discrimination of pCR in Breast Cancer Patients without Visible Enhancing Lesions: A Semiquantitative DCE-MRI Approach Yanbo Li, Wenjia Wang, Jinxia Guo, Hong Lu Tianjin Medical University Cancer Institute and Hospital, Tianjin, China Impact: This study highlights the potential of post-NAC semiquantitative DCE-MRI as a noninvasive tool to identify patients who achieve pCR without visible enhancing lesions, providing an imaging basis for future image-guided de-escalation of surgery in breast cancer.
		460-04-009. Predictive value of functional tumor volume and ctDNA for breast cancer response to neoadjuvant therapy: a multi-center study Wen Li, Mark Magbanua, Natsuko Onishi, Nu Le, Lisa Wilmes, Teffany Joy Bareng, Matthew Gibbons, Pouya Metanat, Elissa Price, Bonnie Joe, John Kornak, Denise Wolf, Keli Santos-Parker, Christina Yau, Barbara LeStage, I-SPY 2 Investigator Network, I-SPY2 Imaging Working Group, Hope Rugo, Angela DeMichele, Laura Esserman, Laura van 't Veer, Nola Hylton University Of California, San Francisco (UCSF), United States of America Impact: The findings of this study will motivate us to optimize the strategy of combining FTV and ctDNA in the context of evolving tumor subtype classifications and histopathologic endpoints that reflect the extent of residual cancer burden at surgery.
		460-04-010. Analysis of Quantitative T1 and T2 Maps from Magnetic Resonance Fingerprinting in Breast Cancer Ziwen Yuan, Holly Marshall, Ananya Panda, Yilun Sun, Armanda Amin, Bahar Moftakhar, Nicole Seiberlich, Donna Plecha, Vikas Gulani, Mark Griswold, Chris Flask, Yong Chen Case Western Reserve University, Cleveland, United States of America Impact: Our results highlight the potential of MRF-derived T₁/T₂ mapping for accurately identifying malignant breast lesions and provides a reference for future large-scale studies to objectively detect and characterize breast cancers.
		460-04-011. Differentiating Benign and Malignant Breast Lesions Using Microstructural Parameters from td-dMRI: A Prospective Study Le Fu, Yichen Wang, Jiejun Cheng, Jianli Yu Shanghai first maternity and infant hospital, Shanghai, China Impact: t_d-dMRI provides histology-related biomarkers that markedly improve benign–malignant differentiation, reducing unnecessary biopsies and supporting precision breast imaging.
		460-04-012. Improved Diagnosis of Breast Lesions Presenting as Architectural Distortion on DBT by Integrating Ultrasound and MRI Features RUCHUAN CHEN, Jiejie Zhou, MinYing Su The First Affiliated Hospital of Wenzhou Medical University, WenZhou, China Impact: Integrated ultrasound and MRI features enhance the diagnosis of breast lesions presenting as architectural distortion on DBT via machine - learning models, which is crucial for improving diagnostic accuracy.
		460-04-013. Restricted Spectrum Imaging for Automating Tumor Delineation on Serial DWI in Evaluating Breast Cancer Treatment Response Debosmita Biswas, Asha Viswanathan, Yin Guo, Habib Rahbar, James Holmes, Wei Huang, Savannah Partridge University of Washington, Seattle, United States of America Impact: RSI-based semi-automated segmentation streamlines tumor delineation in breast cancer DWI, reducing manual effort while preserving ADC accuracy. ADC metrics derived from RSI masks demonstrate comparable predictive power for pCR, offering an efficient alternative to manual segmentation, especially for monitoring treatment.