Predicting Immune Checkpoint Inhibitor-Related Pneumonitis via Computed Tomography and Whole-Lung Analysis Deep Learning
The whole-lung analysis DL model provides an easy-to-use method for identifying patients at high risk of developing ICI-P by CT images, which is important for individualized treatment planning in immunotherapy. The performance improvement over the clinical model indicates that mining whole-lung information in CT images is effective for prognostic prediction in immunotherapy.
Authors
- Zhimei Duan (ORCID: https://orcid.org/0000-0002-6076-5406)
- Ning Wang (ORCID: https://orcid.org/0000-0003-1410-329X)
- Zhifang Zhao
- Fei Xie (ORCID: https://orcid.org/0000-0002-5426-8390)
Institutions
- Chinese PLA General Hospital (CN)
- Air Force General Hospital PLA (CN)
- PLA Academy of Military Science (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2024-11-06
- DOI
- https://doi.org/10.2174/0115734056314192241002075034
- Citations
- 6
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 2.51