Computed tomography-based texture analysis for predicting adjuvant therapy response in postoperative patients with EGFR-mutant non-small cell lung cancer
CT texture-based analysis demonstrated favorable predictive performance in assessing the efficacy of postoperative adjuvant targeted therapy in patients with <i>EGFR</i>-mutant NSCLC. The proposed model offers an intuitive and reliable reference for individualized treatment planning.
Authors
- Deling Song
- Tiexin Cao
- Dawei Wang (ORCID: https://orcid.org/0000-0003-2341-3193)
- Rong Chen (ORCID: https://orcid.org/0000-0002-8479-974X)
- Jin Song (ORCID: https://orcid.org/0000-0001-9966-4891)
- Yaxi Yu
- Fei Yang
- Zhengyang Zhang
- Min Wang
Institutions
- Hebei North University (CN)
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/jtd-2025-1554
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00