Contact pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability.

Autor: Kracík J; Department of Applied Mathematics, VSB-Technical University of Ostrava, Ostrava, Czech Republic., Kubíček L; 2nd Department of Surgery, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic., Staffa R; 2nd Department of Surgery, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic., Polzer S; Department of Applied Mechanics, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Dec 02; Vol. 19 (12), pp. e0314368. Date of Electronic Publication: 2024 Dec 02 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0314368
Abstrakt: The stochastic rupture risk assessment of an abdominal aortic aneurysm (AAA) critically depends on sufficient data set size that would allow for the proper distribution estimate. However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to describe the tails of AAA wall thickness distribution correctly. In this study, we propose a stochastic Bayesian model to merge thickness data from various groups. The thickness data adapted from the literature were supplemented by additional data from 81 patients. The wall thickness was measured at two different contact pressures for 34 cases, which allowed us to estimate the radial stiffness. Herein, the proposed stochastic model is formulated to predict the undeformed wall thickness. Furthermore, the model is able to handle data published solely as summary statistics. After accounting for the different contact pressures, the differences in the medians reported by individual groups decreased by 45%. Combined data can be fitted with a lognormal distribution with parameters μ = 0.85 and σ = 0.32 which can be further used in stochastic analyses.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Kracík et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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