A novel computed tomography enterography radiomics combining intestinal and creeping fat features could predict surgery risk in patients with Crohn’s disease
The CTE-based creeping fat radiomic model provided additional information to the intestinal radiomic model, and their combined radiomic model enables accurate surgery risk prediction of Crohn's disease patients within 1 year of CTE.
Authors
- Liping Deng (ORCID: https://orcid.org/0000-0002-4897-7721)
- Hongjie Hu (ORCID: https://orcid.org/0000-0002-9859-5860)
- Fangyi Xu
- Xi Hu (ORCID: https://orcid.org/0000-0002-6485-8837)
- Xia Qiu (ORCID: https://orcid.org/0000-0002-3694-7357)
- Jinfang Du (ORCID: https://orcid.org/0000-0003-3970-6871)
Institutions
- Sir Run Run Shaw Hospital (CN)
- China International Science and Technology Cooperation (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- European Journal of Gastroenterology & Hepatology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1097/meg.0000000000002839
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81