Intratumoral and peritumoral heterogeneity based on CT to predict the pathological response after neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinoma
The combined model integrating intratumoral and peritumoral habitat radiomics features with clinical variables can accurately predict MPR in ESCC patients after NACI and shows promising potential in predicting pCR.
Authors
- Jianqun Ma (ORCID: https://orcid.org/0000-0002-7021-1298)
- Kaige Chen (ORCID: https://orcid.org/0009-0002-0056-8918)
- Xiaodong Ling (ORCID: https://orcid.org/0000-0001-8728-893X)
- Jiayang Wang (ORCID: https://orcid.org/0009-0005-4703-5213)
- Zhibo Wen (ORCID: https://orcid.org/0000-0002-0497-0923)
- Yanhong Yu
- Wei Meng (ORCID: https://orcid.org/0000-0003-3094-6334)
- Xiaolong Yang (ORCID: https://orcid.org/0000-0002-0582-4354)
- Yingjie Li (ORCID: https://orcid.org/0000-0001-6091-8911)
- Ping Wang (ORCID: https://orcid.org/0000-0001-6474-2722)
- Aoyu Liu
Institutions
- Harbin Medical University (CN)
- Capital Medical University (CN)
- Peking University (CN)
- Beijing Jishuitan Hospital (CN)
- Mudanjiang Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1097/js9.0000000000003422
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80