Key result
Computational modeling and four-dimensional computed tomography are utilized to predict type II endoleaks and address the complexities of their detection and progression.
Why the study?
Persistent type II endoleaks present management challenges due to a variable natural history ranging from continued aneurysmal growth to resolution, with complexities rooted in imaging.
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Imaging may aid prediction of persistent type II endoleak; leaves open need for prospective validation before changing practice.
The persistent type II endoleak is a thorn in the side of many a vascular surgeon, largely due to a natural history ranging from continued aneurysmal growth to resolution with sac shrinkage.1 As with many vascular pathologies, the complexities surrounding endoleak detection, progression and management begins with imaging.
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Gober et al. (2025) studied this question. Computational modeling and four-dimensional computed tomography are utilized to predict type II endoleaks and address the complexities of their detection and progression.
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