J 2024

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

KRACIK, Jan; Luboš KUBÍČEK; Robert STAFFA a Stanislav POLZER

Základní údaje

Originální název

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

Autoři

KRACIK, Jan; Luboš KUBÍČEK; Robert STAFFA a Stanislav POLZER

Vydání

Plos one, San Francisco, Public Library of Science, 2024, 1932-6203

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30212 Surgery

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.600

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/24:00138588

Organizační jednotka

Lékařská fakulta

EID Scopus

Klíčová slova anglicky

abdominal aortic aneurysms; contact pressure

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 23. 1. 2025 09:40, Mgr. Tereza Miškechová

Anotace

V originále

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 mu = 0.85 and sigma = 0.32 which can be further used in stochastic analyses.