Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
461-04-011 ISMRM Abstract

Impact of Response Evaluation Criteria on DCE-MRI Radiomics in Predicting Neoadjuvant Chemotherapy Response in Breast Cancer

Primary: Analysis Methods - Radiomics
Secondary: Body - Breast
461-04-011 · Quantitative MRI Across the Body · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row B
Keywords: Diagnosis/Prediction Machine learning Neoadjuvant Chemotherapy Radiomics analysis
Accepted
Weipeng Zhang 1, Xiang Li1, Mengzhou Sun2, Xiaoyun Liang3
1Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
2Institute of Research and Clinical Innovations, Neusoft Medical Systems Co. Ltd, Beijing, China
3Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China
Presenting Author: Weipeng Zhang

Synopsis

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References

1. Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229-263. doi:10.3322/caac.21834 [doi]
2. Gradishar WJ, Moran MS, Abraham J, et al. Breast Cancer, Version 3.2024, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2024;22(5):331-357. doi:10.6004/jnccn.2024.0035 [doi]
3. Chen, Z., Huang, M., Lyu, J., Qi, X., He, F., & Li, X. (2023). Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI. Frontiers in Oncology, 13, 1174843. DOI: 10.3389/fonc.2023.1174843 [doi]
4. Xiong, Q., Zhou, X., Liu, Z., Lei, C., Yang, C., Yang, M., ... & Wang, K. (2020). Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy. Clinical and Translational Oncology, 22(1), 50-59.DOI: 10.1007/s12094-019-02109-8 [doi]

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http://echo.ismrm.org/p/ISMRM2026/461-04-011