Machine learning model based on dual-layer detector spectral CT radiomics features for differentiating luminal and non-luminal breast cancer
The GNB model demonstrated relatively superior and stable predictive performance in internal testing, suggesting that DLCT radiomics may offer a potential auxiliary tool for distinguishing between Luminal and non-Luminal BC. However, further validation through large-scale multicenter studies is required.
Authors
- Yikun Ma
- Bo Shi
- Zhijing Song
- Zhiyang Dou
Institutions
- Bengbu Medical College (CN)
- Anhui Medical University (CN)
- Jiangsu Cancer Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-05
- DOI
- https://doi.org/10.3389/fonc.2026.1739346
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00