Predicting histological grade in invasive ductal carcinoma of the breast: a radiomics-based machine learning model using DCE-MRI
The DCE-MRI radiomics model based on Logistic Regression can non-invasively and effectively predict the histological grade of IDC preoperatively, offering valuable potential for supporting individualized clinical decision-making.
Authors
- Shanzheng Liu
- Zheshen Han (ORCID: https://orcid.org/0009-0007-6739-6547)
- Naiyou Zhang
- Ziwen Wang
- Haiming Dong
- Chenglin Bai
- Jingjing Meng
Institutions
- Beijing Chaoyang Emergency Medical Center (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-23
- DOI
- https://doi.org/10.3389/fonc.2025.1593075
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00