Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-02-007 ISMRM Abstract

MRI-based Habitat radiomics for risk stratification of axillary lymph node metastasis in breast cancer: A multicenter study

Primary: Analysis Methods - Radiomics
Secondary: Body - Breast
562-02-007 · Breast MRI and the Role of AI · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row C
Keywords: Magnetic resonance imaging Breast cancer Habitat radiomics Intratumoral heterogeneity Axillary lymph nodes metastasis
Accepted
Yuqin Peng 1, Zhiyao Liu2, Xueying Zhao3, miaomiao ding2, Shuxin He2, Xiang Zhang2
1Department of Radiology, Shenshan Medical Center, Memorial Hospital of Sun Yat-Sen University, Shanwei, China
2Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, guangzhou，guangdong, China
3GE Healthcare, MR Research China, Beijing, China
Presenting Author: Yuqin Peng

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References

1. Gao J, Zhong X, Li W, Li Q, Shao H, Wang Z, Dai Y, Ma H, Shi Y, Zhang H, Duan S, Zhang K, Yang P, Zhao F, Zhang H, Xie H, Mao N. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI. J Magn Reson Imaging. 2023 Jun;57(6):1842-1853. doi: 10.1002/jmri.28464. Epub 2022 Oct 11. PMID: 36219519. [doi] [pmid]
2. Yu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study. EBioMedicine. 2021 Jul;69:103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4. PMID: 34233259; PMCID: PMC8261009. [doi] [pmid]
3. Yu Y, Tan Y, Xie C, Hu Q, Ouyang J, Chen Y, Gu Y, Li A, Lu N, He Z, Yang Y, Chen K, Ma J, Li C, Ma M, Li X, Zhang R, Zhong H, Ou Q, Zhang Y, He Y, Li G, Wu Z, Su F, Song E, Yao H. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer. JAMA Netw Open. 2020 Dec 1;3(12):e2028086. doi: 10.1001/jamanetworkopen.2020.28086. PMID: 33289845; PMCID: PMC7724560. [doi] [pmid]
4. Chen S, Zhang Y, Su Y, Tian J, Chen Y, Tang W, Fan Y, Jin C, He Y, Xu Y, Hu H, Guo Y, Li J. Habitat Radiomics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Assessing Axillary Lymph Node Burden in Clinical T1-T2 Stage Breast Cancer: A Multicenter and Interpretable Study. J Magn Reson Imaging. 2025 Sep;62(3):751-764. doi: 10.1002/jmri.29796. Epub 2025 Apr 21. PMID: 40256826. [doi] [pmid]

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http://echo.ismrm.org/p/ISMRM2026/562-02-007