CT-based radiomics nomogram to predict response of advanced adenocarcinoma of esophagogastric junction to neoadjuvant chemotherapy
A radiomics model for adenocarcinoma of the esophagogastric junction can predict the response to neoadjuvant chemotherapy. A combined model integrating clinical and radiomics features can improve predictive performance. The combined model is helpful for clinicians to develop individualized treatment regimens.
Authors
- Xueming Liao (ORCID: https://orcid.org/0000-0003-2855-5334)
- J Li (ORCID: https://orcid.org/0000-0002-4359-2806)
- Tian‐wu Chen (ORCID: https://orcid.org/0000-0001-5776-3429)
- Xiaoming Zhang (ORCID: https://orcid.org/0000-0001-9757-3080)
- Chuan-qinyuan Zhou
- Wenting Liao (ORCID: https://orcid.org/0000-0003-4953-3134)
- Yan Gui (ORCID: https://orcid.org/0000-0001-8323-4571)
- Yue-su Wang
Institutions
- North Sichuan Medical University (CN)
- Dalian Medical University (CN)
- Southwest Medical University (CN)
- Affiliated Hospital of Southwest Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Affiliated Hospital of North Sichuan Medical College (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1186/s13244-025-02103-5
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China