The capability of deep-radiomics to predict pathological response to neoadjuvant immunochemotherapy in non–small cell lung cancer: a retrospective multicenter study
Our results demonstrated that combination of three dimensional features can provide complementary information to predict pCR more accurately.
Authors
- Xiaoyun Liang (ORCID: https://orcid.org/0009-0001-7036-4438)
- L. Wang
- Tong Zhou (ORCID: https://orcid.org/0000-0002-9618-7011)
- Yuanxin Ye (ORCID: https://orcid.org/0009-0005-2498-6665)
- Yuchi Tian
- Xi ZiHan
- Yupeng Zheng (ORCID: https://orcid.org/0000-0002-2165-7859)
- Haitao Jiang
- Zhenhua Zhao
- Yangfan Zhang
Institutions
- Zhejiang Cancer Hospital (CN)
- Huzhou Central Hospital (CN)
- Shaoxing No.6 People's Hospital (CN)
- Neusoft (China) (CN)
- Shaoxing People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fimmu.2026.1770042
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00