Personalized prediction model for scar response after radionuclide therapy: development and validation in a Chinese cohort
Integration of clinical and image-derived features enables robust, individualized prediction of scar treatment outcomes in this Chinese cohort. Our validated combined model, accessible via an easy-to-use web-based calculator, may enhance treatment planning, risk stratification, and patient counseling in scar management. Validation in diverse ethnic populations is essential.
Authors
- Jingbin Chen (ORCID: https://orcid.org/0000-0002-4257-0234)
- T. J. Wang
- Jinzhao Su
- Tianqiang Song (ORCID: https://orcid.org/0000-0001-5979-5213)
- Haibin Xu
- Tzu‐Yu Lin (ORCID: https://orcid.org/0000-0003-1678-7779)
- Steven C. Lin (ORCID: https://orcid.org/0000-0003-4620-1505)
Institutions
- Fujian Medical University (CN)
- Sanming University (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3389/fmed.2025.1655302
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00