Integration of habitat radiomics and traditional radiomic features for predicting pathological complete response in esophageal squamous cell carcinoma following neoadjuvant immunotherapy and chemotherapy: a multicenter comparative study
This study demonstrates that Habitat Radiomics features provide significant advantages over traditional Radiomics in predicting immunotherapy response in ESCC patients. The combined model, integrating both feature sets, shows exceptional predictive performance, with promising clinical applications in personalized treatment strategies. Future research will explore the broader applicability of this model across different cancer types and its integration with additional biomarkers to further enhance prediction accuracy.
Authors
- Yipeng Feng (ORCID: https://orcid.org/0000-0002-1306-2177)
- B. Chen
- Wenjie Xia (ORCID: https://orcid.org/0000-0001-7870-0128)
- Gaochao Dong (ORCID: https://orcid.org/0000-0003-4604-5012)
- HanLin Ding
- Zhiyun Xu (ORCID: https://orcid.org/0009-0003-9883-3616)
- Qixing Mao
- Xuming Song (ORCID: https://orcid.org/0000-0002-9521-2393)
- Xiaokang Shen
- Lin Xu
- Yijiang Lu
- Hui Wang
- Feng Jiang
- Rutao Li
- Fengyi Zuo
Institutions
- Xuzhou Medical College (CN)
- Soochow University (TW)
- Soochow University (CN)
- Second People’s Hospital of Huai’an (CN)
- Jiangsu Cancer Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1186/s12967-025-07522-y
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00