Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients
The radiomics combined clinical features model demonstrates superior treatment response prediction ability for ESCC patients received dCRT. This model has the potential to assist clinicians in identifying non-responsive patients before treatment and guide individualized therapy for advanced ESCC patients.
Authors
- Xue Sha (ORCID: https://orcid.org/0000-0002-2695-4430)
- Xingmin Ma (ORCID: https://orcid.org/0000-0003-0508-2861)
- Dali Han (ORCID: https://orcid.org/0000-0001-8983-018X)
- Tonghai Liu (ORCID: https://orcid.org/0000-0002-7390-7098)
- Yongbin Cui
- Huiling Liu (ORCID: https://orcid.org/0000-0002-7443-6697)
- Zhenjiang Li (ORCID: https://orcid.org/0000-0001-7636-2962)
- Yong Yin (ORCID: https://orcid.org/0000-0003-1090-4313)
- Xiaoyan Yin (ORCID: https://orcid.org/0000-0001-5103-5500)
- Changsheng Ma (ORCID: https://orcid.org/0000-0003-0364-5501)
Institutions
- Xinjiang Medical University (CN)
- Shandong Tumor Hospital (CN)
- Tumor Hospital of Xinjiang Medical University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1186/s12876-025-03899-8
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China