Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-04-010 ISMRM Abstract

Analysis of Quantitative T1 and T2 Maps from Magnetic Resonance Fingerprinting in Breast Cancer

Primary: Body - Breast
Secondary: Acquisition & Reconstruction - Quantitative Imaging: chest, abdomen, and pelvis
460-04-010 · Breast MRI Sequences and Clinical Developments · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row A
Keywords: MR Fingerprinting T1 Mapping T2 mapping Breast Tumor
Accepted
Ziwen Yuan1, Holly Marshall2, Ananya Panda3, Yilun Sun4,5, Armanda Amin6,7, Bahar Moftakhar6,8, Nicole Seiberlich9,10,11, Donna Plecha2, Vikas Gulani9,11, Mark Griswold1,2,6,12,13, Chris Flask4,12, Yong Chen 1,2,6,12,13
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States of America
2Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
3Department of Radiology, University of Iowa, Iowa City, United States of America
4Case Western Reserve University, Cleveland, United States of America
5Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, United States of America
6University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
7Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
8Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
9Department of Radiology, University of Michigan, Ann Arbor, United States of America
10Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
11University of Michigan, Ann Arbor, United States of America
12Department of Radiology, Case Western Reserve University, Cleveland, United States of America
13Department of Radiology, University Hospitals, Cleveland, United States of America
Presenting Author: Yong Chen

Synopsis

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References

1. Waks AG, Winer EP. Breast Cancer Treatment: A Review. JAMA. 2019;321(3):288-300. doi:10.1001/jama.2018.19323 [doi]
2. Liu L, Yin B, Shek K, et al. Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions. J Int Med Res. 2018;46(5):1928-1935. doi:10.1177/0300060517721071 [doi]
3. Meng T, He N, He H, et al. The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI. Cancer Imaging. 2020;20(1):88. doi:10.1186/s40644-020-00365-4 [doi]
4. Jung Y, Gho SM, Back SN, Ha T, Kang DK, Kim TH. The feasibility of synthetic MRI in breast cancer patients: comparison of T 2 relaxation time with multiecho spin echo T 2 mapping method. Br J Radiol. 2019;92(1093):20180479. doi:10.1259/bjr.20180479 [doi]
5. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 [doi]
6. Panda A, Chen Y, Ropella-Panagis K, et al. Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue. J Magn Reson Imaging. 2019;50(4):1133-1143. doi:10.1002/jmri.26717 [doi]
7. Chen Y, Panda A, Pahwa S, et al. Three-dimensional MR Fingerprinting for Quantitative Breast Imaging. Radiology. 2019;290(1):33-40. doi:10.1148/radiol.2018180836 [doi]
8. Lian C, Zhuang L, Wang Z, et al. The diagnostic performance of T1 mapping in the assessment of breast lesions: A preliminary study. Eur J Radiol. 2024;177:111589. doi:10.1016/j.ejrad.2024.111589 [doi]
9. Zhang Q, Zhao Y, Nie J, et al. Pretreatment synthetic MRI features for triple-negative breast cancer. Clin Radiol. 2024;79(2):e219-e226. doi:10.1016/j.crad.2023.10.015 [doi]
10. Amano M, Fujita S, Takei N, et al. Feasibility of Quantitative MRI Using 3D-QALAS for Discriminating Immunohistochemical Status in Invasive Ductal Carcinoma of the Breast. J Magn Reson Imaging. 2023;58(6):1752-1759. doi:10.1002/jmri.28683 [doi]
11. Kazama T, Takahara T, Kwee TC, et al. Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes. Life. 2022;12(9):1307. doi:10.3390/life12091307 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/460-04-010