Temporal radiomics for non-invasive preoperative prediction of pathologic complete response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer
A CT-based radiomics model incorporating temporal features from pre- and post-treatment scans shows favorable performance for the non-invasive preoperative estimation of pCR to NCI in patients with NSCLC.
Authors
- Dongsheng Yue
- S. Wang
- Shuxuan Fan (ORCID: https://orcid.org/0000-0002-3575-1475)
- ZHAOXIANG YE
- Ziwei Feng (ORCID: https://orcid.org/0000-0002-8568-4821)
- Sunyi Zheng (ORCID: https://orcid.org/0000-0002-9005-4875)
- Jiaxin Liu (ORCID: https://orcid.org/0000-0002-8770-2093)
- Yuechen Cui
- Xiaomeng Yang (ORCID: https://orcid.org/0000-0003-4109-1562)
- Haiyu Zhou
- Zhanshuo Zhang
- Jianyu Xiao
- Jing Liang
- Lei Shi
- Guoqing Liao
- Jing Wang
- Jiping Xie
- Xiaonan Cui
Institutions
- Tianjin University of Traditional Chinese Medicine (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Zhejiang Cancer Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
Publication Details
- Journal
- Cancer Biology and Medicine
- Published
- 2026-01-14
- DOI
- https://doi.org/10.20892/j.issn.2095-3941.2025.0327
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Tianjin Medical University
- National Science and Technology Major Project