Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis
The construction of integrated biomarker prediction models through radiomics demonstrates technical feasibility, offering a promising methodology for comprehensive tumor characterization.
Authors
- Xiangjie Wang (ORCID: https://orcid.org/0000-0001-8869-5596)
- Na Chai
- Gang Ji (ORCID: https://orcid.org/0000-0001-9722-872X)
- Luguang Huang (ORCID: https://orcid.org/0000-0003-3296-4181)
- Jiangpeng Wei (ORCID: https://orcid.org/0000-0001-6619-8695)
- Jingji Xu (ORCID: https://orcid.org/0000-0002-9767-0742)
- Shiqi Wang (ORCID: https://orcid.org/0000-0002-2381-044X)
- Quan Wang (ORCID: https://orcid.org/0000-0002-2821-5017)
- Zhifeng Zhao (ORCID: https://orcid.org/0000-0002-6311-1811)
- Minwen Zheng (ORCID: https://orcid.org/0000-0002-0862-3208)
- Pengfei Yu (ORCID: https://orcid.org/0000-0003-3825-8798)
- Bin Yang (ORCID: https://orcid.org/0000-0001-6180-7412)
Institutions
- Xijing Hospital (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- JMIR Cancer
- Published
- 2025-05-08
- DOI
- https://doi.org/10.2196/67379
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00