ArticleMedical & biological engineering & computing2017
A robust approach for exploring hemodynamics and thrombus growth associations in abdominal aortic aneurysms.
Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 34 citations in OpenAlex.
- Position-Dependent Hemodynamics of Popliteal Artery Stent Grafts: The POPFLEX Study.Methods and protocols · 2026Article
- Relationship between cardio-ankle vascular index and stagnation zone volume, measured using 4D flow magnetic resonance imaging, in patients with thoracic aortic atherosclerosis.The international journal of cardiovascular imaging · 2026Article
- Integrated Assessment of Wall Shear Stress-Related Hemodynamic Parameters in Abdominal Aortic Aneurysms: A Retrospective Cross-Sectional Study on Ruptured Cases.International journal for numerical methods in biomedical engineering · 2026Article
- Microfluidic Chamber Design for Organ-on-a-Chip: A Computational Fluid Dynamics Study of Pillar Geometry and Pulsatile Perfusion.Biosensors · 2026Article
- Association of intraluminal thrombus in thoracoabdominal aortic aneurysms with a blood stasis model.Frontiers in cardiovascular medicine · 2026Article
- Assessment of biomechanical properties in pulmonary arterial hypertension: a computational fluid dynamics study of the extensive pulmonary arterial tree.BMC pulmonary medicine · 2025Article
- A hemodynamic analysis of energy loss in abdominal aortic aneurysm using three-dimension idealized model.Frontiers in physiology · 2024Article
- Selection of Bifurcated Grafts' Dimensions during Aorto-Iliac Vascular Reconstruction Based on Their Hemodynamic Performance.Bioengineering (Basel, Switzerland) · 2023Article
- Intraluminal Thrombus Characteristics in AAA Patients: Non-Invasive Diagnosis Using CFD.Bioengineering (Basel, Switzerland) · 2023Article
- The Effect of Blood Rheology and Inlet Boundary Conditions on Realistic Abdominal Aortic Aneurysms under Pulsatile Flow Conditions.Bioengineering (Basel, Switzerland) · 2023Article
- Predictors of ischemic events in patients with unilateral extracranial vertebral artery dissection: A single-center exploratory study.Frontiers in neurology · 2022Article
- Patient-specific changes in aortic hemodynamics is associated with thrombotic risk after fenestrated endovascular aneurysm repair with large diameter endografts.JVS-vascular science · 2022Article
- The Obsolete Maximum Diameter Criterion, the Evident Role of Biomechanical (Pressure) Indices, the New Role of Hemodynamic (Flow) Indices, and the Multi-Modal Approach to the Rupture Risk Assessment of Abdominal Aortic Aneurysms.Annals of vascular diseases · 2018Review
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Longitudinal studies of vascular diseases often need to establish correspondence between follow-up images, as the diseased regions may change shape over time. In addition, spatial data structures should be taken into account in the statistical analyses to avoid inferential errors. This study investigates the association between hemodynamics and thrombus growth in abdominal aortic aneurysms (AAAs) while emphasizing on the abovementioned methodological issues. Six AAA surfaces and their follow-ups were three-dimensionally reconstructed from computed-tomography images. AAA surfaces were mapped onto a rectangular grid which allowed identification of corresponding regions between follow-ups. Local thrombus thickness was measured at initial and follow-up surfaces and computational fluid dynamic simulations provided time-average wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time. Six Bayesian regression models, which account for spatially correlated measurements, were employed to explore associations between hemodynamics and thrombus growth. Results suggest that spatial regression models based on TAWSS and OSI offer superior predictive performance for thrombus growth relative to alternative specifications. Ignoring the spatial data structure may lead to improper assessment with regard to predictor significance.
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