Development and validation of a multi-slice CTA-based prediction model for poor outcomes in isolated superior mesenteric artery dissection
A random forest model constructed based on MSCTA imaging features and clinical indicators can effectively predict poor outcomes in patients with ISMAD. Blood lactate levels, VAS score for abdominal pain, minimum true lumen diameter, degree of SMA trunk stenosis, intestinal wall thickening, and extent of false lumen thrombosis were identified as key predictors.
Authors
- Zeyu Tang (ORCID: https://orcid.org/0000-0003-3306-824X)
- Bosheng He
- Kai Zhang
- Huimin Hong
- Qiangrong Wang
- Jing Feng
Institutions
- Hebei Medical University (CN)
- Nantong University (CN)
- Wenzhou Medical University (CN)
- Affiliated Hospital of Nantong University (CN)
- Xingtai People's Hospital (CN)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2026-01-09
- DOI
- https://doi.org/10.3389/fsurg.2025.1710031
- Primary Topic
- Abdominal vascular conditions and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00