Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy
The radiomics-based ML model demonstrated significant efficacy in predicting the pathological response to neoadjuvant immunotherapy in LAGC patients, thereby providing a foundation for personalized treatment strategies.
Authors
- Qi‐Yue Chen (ORCID: https://orcid.org/0000-0001-6391-4043)
- Changming Huang
- Pingli
- Jia-Bin Wang (ORCID: https://orcid.org/0000-0001-6757-0831)
- Ru-Hong Tu
- Yifen Lin (ORCID: https://orcid.org/0000-0002-8803-3389)
- Xingqi Zhang (ORCID: https://orcid.org/0000-0001-8941-3706)
- Jian‐Wei Xie (ORCID: https://orcid.org/0000-0003-4971-2896)
- Haoxiang Zhang (ORCID: https://orcid.org/0000-0002-6302-0901)
- Yuqin Sun (ORCID: https://orcid.org/0009-0008-4067-732X)
- Mi Lin
- Cai-Ming Weng
- Ze‐Ning Huang
- Long-Long Cao
- Chao-Hui Zheng
- Jian-Xian Lin
Institutions
- Fujian Medical University (CN)
- Zhangzhou Municipal Hospital of Fujian Province (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1186/s12967-025-06363-z
- Citations
- 9
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 13.67