Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-01-167 ISMRM Abstract

2.5D DL with Multi-Instance Learning Predicts Axillary Lymph Node Metastasis in Breast Cancer

Primary: Body - Breast
Secondary: Analysis Methods - Classification and Prediction
570-01-167 · AI Applications in Body MRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Traditional Posters | Exhibition Hall
Keywords: Breast cancer Deep learning Axillary lymph nodes metastasis Multi-Instance Learning
Accepted
Lingsong Meng 1,2,3, Xiaoan Zhang2, Xin Zhao2, Lin Lu2, Xiang Meng1, Fuming Shao3, Yuxia Zhang4
1Department of Medical Technology, Shangqiu Medical College, Shangqiu, China
2Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
3Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Shangqiu Medical College, Shangqiu, China
4Department of Clinical Medicine, Shangqiu Medical College, Shangqiu, China
Presenting Author: Lingsong Meng

Synopsis

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References

1. 1 Le Boulc'h M, Gilhodes J, Steinmeyer Z, Molière S, Mathelin C. Pretherapeutic Imaging for Axillary Staging in Breast Cancer: A Systematic Review and Meta-Analysis of Ultrasound, MRI and FDG PET. J Clin Med. 2021;10(7):1543. doi:10.3390/jcm10071543 [doi]
2. 2 Guo YJ, Yin R, Zhang Q, et al. MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model. J Magn Reson Imaging. 2024;60(4):1352-1364. doi:10.1002/jmri.29225 [doi]
3. 3 Gao J, Zhong X, Li W, et al. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI. J Magn Reson Imaging. 2023;57(6):1842-1853. doi:10.1002/jmri.28464 [doi]
4. 4 Memorial Sloan Kettering Cancer Center breast cancer nomogram. http://nomograms.mskcc.org/breast/index.aspx. Accessed June 18, 2019.
5. 5 Li X, Yang L, Jiao X. Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer. Acad Radiol. 2023;30(7):1281-1287. doi:10.1016/j.acra.2022.10.015 [doi]
6. 6 Chen M, Kong C, Lin G, et al. Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study. EClinicalMedicine. 2023;63:102176. doi:10.1016/j.eclinm.2023.102176 [doi]
7. 7 Guo F, Sun S, Deng X, et al. Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model. Front Immunol. 2024;15:1482020. doi:10.3389/fimmu.2024.1482020 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/570-01-167