Development and Validation of a Radiomics-Based Nomogram for Predicting HER-2 Status in Breast Cancer: A Retrospective Study with Small Validation Cohort
The radiomics-based nomogram developed in this study offers a promising non-invasive tool for predicting HER-2 expression status in breast cancer. By integrating clinical data and advanced MRI features, this model provides accurate predictions, improving personalized treatment strategies. Further validation in larger, multicenter studies is necessary to confirm its generalizability and clinical applicability.
Authors
- C. Chen
- Langlang Tang (ORCID: https://orcid.org/0000-0001-6167-1332)
- Jinyin Chen
- Qihong Qiu (ORCID: https://orcid.org/0000-0001-6549-154X)
- Chun-Tao Liao
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Breast Cancer Targets and Therapy
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/bctt.s550088
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00