Multicenter evaluation of predictive clinical and imaging factors for pathological response in non-small cell lung cancer patients treated with neoadjuvant chemotherapy and immune checkpoint inhibitors
The combined application of clinical indicators including non-invasive tumor imaging and hematology can help clinicians to obtain a higher ability to predict NSCLC patient's pathological remission, and the effect is better than that of clinical factors alone. These findings could help guide personalized treatment strategies in this patient population.
Authors
- Zhenfa Zhang (ORCID: https://orcid.org/0000-0002-9627-2590)
- Mengzhe Zhang (ORCID: https://orcid.org/0000-0003-0682-1574)
- Shuai Jiang (ORCID: https://orcid.org/0000-0003-1235-6269)
- Zekun Li (ORCID: https://orcid.org/0000-0002-1421-4590)
- Yan Meng (ORCID: https://orcid.org/0009-0001-4398-0243)
- Liu Zuo
- Zhenfa Zhang (ORCID: https://orcid.org/0000-0002-9539-5417)
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
Publication Details
- Journal
- Cancer Immunology Immunotherapy
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1007/s00262-025-04017-z
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00