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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081249" target="_blank" >RIV/00159816:_____/24:00081249 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14110/24:00138588 RIV/61989100:27230/24:10256278 RIV/61989100:27240/24:10256278

Výsledek na webu

<a href="https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0314368" target="_blank" >https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0314368</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0314368" target="_blank" >10.1371/journal.pone.0314368</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30100 - Basic medicine

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

PLoS ONE

ISSN

1932-6203

e-ISSN

—

Svazek periodika

19

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

"e0314368"

Kód UT WoS článku

001371910800017

EID výsledku v databázi Scopus

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