Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis
Radiomics analysis provides help to accurately assess acute pancreatitis (AP). CT radiomics-based models are superior to the clinical model in the prediction of AP prognosis. A CT radiomics-based nomogram integrated with clinical features allows a more comprehensive assessment of AP prognosis.
Authors
- Wen Yao (ORCID: https://orcid.org/0000-0002-3726-7716)
- Hang Chen (ORCID: https://orcid.org/0000-0001-7987-2861)
- Xinglan Wang
- Liping Su (ORCID: https://orcid.org/0000-0001-8358-2090)
- Xinya Li (ORCID: https://orcid.org/0000-0002-7539-8194)
- Fang Wang (ORCID: https://orcid.org/0009-0009-7713-561X)
- Xia Li (ORCID: https://orcid.org/0000-0001-8665-7983)
- Dan Liu (ORCID: https://orcid.org/0009-0004-5649-3948)
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- United Imaging Healthcare (China) (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s13244-024-01887-2
- Citations
- 8
- Primary Topic
- Pancreatitis Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 16.05