Individualized Analysis of Nipple‐Sparing Mastectomy Versus Modified Radical Mastectomy Using Deep Learning
The BIME model provides superior accuracy in recommending surgical approaches for breast cancer patients, leading to improved survival outcomes. These findings underscore the potential of BIME to enhance clinical decision-making. However, further investigation incorporating comprehensive prognostic evaluation is needed to optimize the surgical selection process and refine its clinical utility.
Authors
- Weizhong Shi (ORCID: https://orcid.org/0000-0002-4862-6833)
- Chunyu Hu (ORCID: https://orcid.org/0000-0002-3238-9888)
- Enzhao Zhu (ORCID: https://orcid.org/0009-0006-4014-289X)
- Linmei Zhang (ORCID: https://orcid.org/0009-0003-1132-8597)
- Zisheng Ai (ORCID: https://orcid.org/0000-0001-8417-4160)
- Jiayi Wang (ORCID: https://orcid.org/0000-0003-1688-2864)
- Ziqin Xu
- Y Fang (ORCID: https://orcid.org/0000-0003-4823-743X)
- Pu Ai
- Huiqing Pan (ORCID: https://orcid.org/0000-0002-3306-9616)
Institutions
- Tongji University (CN)
- University of Warwick (GB)
- Shanghai Hospital Development Center (CN)
- Columbia University (US)
Publication Details
- Journal
- Cancer Innovation
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1002/cai2.70002
- Citations
- 1
- Primary Topic
- Breast Implant and Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 2.01