Development and validation of multi-sequence magnetic resonance imaging radiomics models for predicting tumor response to radiotherapy in locally advanced non-small cell lung cancer
The radiomics model developed using multisequence MRI demonstrates strong potential in predicting the radiotherapy response in patients with LA-NSCLC. Notably, the combined sequence model outperforming individual sequence models in both predictive accuracy and clinical applicability.
Authors
- Shangqun Liu
- Helong Wang (ORCID: https://orcid.org/0009-0009-7079-4516)
- Baptiste Abbar (ORCID: https://orcid.org/0000-0002-5907-8131)
- Yan Lv (ORCID: https://orcid.org/0009-0004-9331-2368)
- Lian Duan (ORCID: https://orcid.org/0000-0002-2578-2876)
- Jianyu Xu (ORCID: https://orcid.org/0000-0002-0870-7671)
- Songliu Hu
Institutions
- Qingdao University (CN)
- Harbin Medical University (CN)
- Sorbonne Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Pitié-Salpêtrière Hospital (FR)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-03-01
- DOI
- https://doi.org/10.21037/jtd-2025-142
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36