Circulating Metalloproteinase Inhibitors and Artificial Intelligence-Derived Radiomics Predict Persistent Endoleak After Endovascular Abdominal Aortic Aneurysm Repair: A Multimodal Biological-Imaging Model
Objective Persistent endoleak after endovascular abdominal aortic aneurysm repair (EVAR) reflects ongoing aneurysm sac biological activity and remains insufficiently predicted by anatomical surveillance alone. We aimed to evaluate whether integration of circulating matrix metalloproteinases (MMPs), tissue inhibitors of metalloproteinases (TIMPs), and artificial intelligence (AI)-derived radiomic features from computed tomographic angiography (CTA) improves prediction of persistent endoleak. Methods We conducted…
Combining AI-derived CT radiomic features with circulating metalloproteinase markers improved risk stratification for persistent endoleak after EVAR compared with morphological surveillance alone.
The study is retrospective with only 62 patients and internal bootstrap validation, and the authors say the findings still need prospective validation.
Evidence
- Peer-reviewedJournal of Endovascular Therapy2026-10-08
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Truvace Impact Record TRV-2026-1735, v1: “Circulating Metalloproteinase Inhibitors and Artificial Intelligence-Derived Radiomics Predict Persistent Endoleak After Endovascular Abdominal Aortic Aneurysm Repair: A Multimodal Biological-Imaging Model.” Truvace, 2026-10-17. /record/TRV-2026-1735 (accessed at citation time). sha256 2088088f720ff56f…
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