Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease
Psoas computerized tomography radiomics-based ML models effectively predict the response of patients with CD to IFX therapy, with the eXtreme Gradient Boosting model exhibiting superior performance.
Authors
- Yuan Zeng (ORCID: https://orcid.org/0000-0002-3270-2459)
- Ting Mei (ORCID: https://orcid.org/0000-0003-3029-4460)
- Yuanhang He (ORCID: https://orcid.org/0000-0002-8275-7407)
- Shiyu Li (ORCID: https://orcid.org/0009-0002-2713-6699)
- Huiya Ying
- Weimin Cai (ORCID: https://orcid.org/0000-0002-0342-4912)
- Zhuoyan Chen (ORCID: https://orcid.org/0000-0003-0766-569X)
- Yuxuan Zhang (ORCID: https://orcid.org/0000-0001-9407-9589)
- Yuhao Chen (ORCID: https://orcid.org/0000-0002-9363-6125)
- Yiwen Hong
- Fujun Yu (ORCID: https://orcid.org/0000-0001-5321-7228)
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1080/07853890.2025.2527954
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36