Prediction of tumor-infiltrating lymphocytes through habitat radiomics and exploration of response mechanisms in neoadjuvant immunochemotherapy-treated lung cancer
This study establishes a habitat radiomics model for non-invasive assessment of TIL status following neoadjuvant immunochemotherapy in NSCLC. The model shows reliable predictive performance and prognostic stratification capability, offering potential clinical utility for treatment response evaluation and patient selection.
Authors
- Yongde Liao
- Kuo Li (ORCID: https://orcid.org/0000-0003-4571-4771)
- Zhenyu Gong
- Zuhan Geng
- Peiyuan Mei
- Ruiping Feng
- Shunchen Zhou
- Zhangfeng Huang
- Yihong Hu
- Guangyao Wu
- Guanchao Ye
Institutions
- Union Hospital (HK)
- Chongqing University (CN)
- Wuhan Union Hospital (CN)
- Chongqing Cancer Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Tongji Hospital (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Cancer Immunology Immunotherapy
- Published
- 2026-01-27
- DOI
- https://doi.org/10.1007/s00262-025-04291-x
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00