ArticleBioengineering (Basel, Switzerland)2022
An Objective and Repeatable Sac Isolation Technique for Comparing Biomechanical Metrics in Abdominal Aortic Aneurysms.
Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes.JVS-vascular insights · 2026Article
- Sex-specific machine learning classification models improve outcome prediction for abdominal aortic aneurysms.Biology of sex differences · 2025Article
- Artificial intelligence-based machine learning protocols enable quicker assessment of aortic biomechanics: A case study.Journal of vascular surgery cases and innovative techniques · 2025Article
- Augmented reality visualization of biomechanical wall stresses on abdominal aortic aneurysms using artificial intelligence.Science talks · 2025Article
- New Trends of Personalized Medicine in the Management of Abdominal Aortic Aneurysm: A Review.Journal of personalized medicine · 2024Review
- An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes.Scientific reports · 2024Article
- Computed Tomography Angiography Markers and Intraluminal Thrombus Morphology as Predictors of Abdominal Aortic Aneurysm Rupture.International journal of environmental research and public health · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
(1) Abdominal aortic aneurysm (AAA) biomechanics-based metrics often reported may be over/under-estimated by including non-aneurysmal regions in the analyses, which is typical, rather than isolating the dilated sac region. We demonstrate the utility of a novel sac-isolation algorithm by comparing peak/mean wall stress (PWS, MWS), with/without sac isolation, for AAA that were categorized as stable or unstable in 245 patient CT image sets. (2) 245 patient computed tomography images were collected, segmented, meshed, and had subsequent finite element analysis performed in preparation of our novel sac isolation technique. Sac isolation was initiated by rotating 3D surfaces incrementally, extracting 2D projections, curve fitting a Fourier series, and taking the local extrema as superior/inferior boundaries for the aneurysmal sac. The PWS/MWS were compared pairwise using the entire aneurysm and the isolated sac alone. (3) MWS, not PWS, was significantly different between the sac alone and the entire aneurysm. We found no statistically significant difference in wall stress measures between stable (
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