MRI-based radiomics for noninvasive prediction of T790M resistance mutation in lung cancer spinal metastases: an exploratory study
Subregion-based MRI radiomics enables accurate, noninvasive prediction of T790M mutations in NSCLC spinal metastases. This subregion-based MRI radiomics model, to our knowledge, is the first to non-invasively predict T790M resistance mutations in spinal metastases by integrating spatial heterogeneity and SHAP interpretability. This subregion-based MRI radiomics model is exploratory and showed a consistent trend toward improved discrimination and net benefit.
Authors
- Hua Ai
- Yihua Sun (ORCID: https://orcid.org/0000-0001-8027-2927)
- Jianghua Zheng (ORCID: https://orcid.org/0000-0003-1179-7986)
- Chunna Yang
- Jiahui Wang (ORCID: https://orcid.org/0000-0002-0867-8612)
- Lijun Jin
- Xiaoya Zhou
Institutions
- First Hospital of China Medical University (CN)
- Jining Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.3389/fcell.2025.1673498
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jining Medical University