Dual-region MRI radiomic analysis indicates increased risk in high-risk breast lesions: bridging intratumoral and peritumoral radiomics for precision decision-making
The combined predictive model, which integrates intratumoral and peritumoral radiomic features with clinical and imaging data, exhibited strong diagnostic performance and a clinically applicable nomogram was constructed to stratify individualized upgrade risk, assisting clinicians in making more precise decisions.
Authors
- Yuting Yang (ORCID: https://orcid.org/0000-0003-2077-2780)
- Rushan Ouyang
- Chen Qiu (ORCID: https://orcid.org/0000-0002-5414-1672)
- Xiaohui Lin (ORCID: https://orcid.org/0000-0003-1747-1485)
- Jie Ma (ORCID: https://orcid.org/0000-0003-3676-5139)
- Tingting Liao (ORCID: https://orcid.org/0000-0002-6846-3306)
Institutions
- Sun Yat-sen University (CN)
- Jinan University (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1186/s12885-025-14165-1
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36