Biomechanical rupture risk assessment of abdominal aortic aneurysms based on a novel probabilistic rupture risk index
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU116545" target="_blank" >RIV/00216305:26210/15:PU116545 - isvavai.cz</a>
Result on the web
<a href="http://rsif.royalsocietypublishing.org/content/12/113/20150852" target="_blank" >http://rsif.royalsocietypublishing.org/content/12/113/20150852</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1098/rsif.2015.0852" target="_blank" >10.1098/rsif.2015.0852</a>
Alternative languages
Result language
angličtina
Original language name
Biomechanical rupture risk assessment of abdominal aortic aneurysms based on a novel probabilistic rupture risk index
Original language description
Background. A rupture risk assessment is critical to the clinical treatment of Abdominal Aortic Aneurysm (AAA) patients. The biomechanical AAA rupture risk assessment quantitatively integrates many known AAA rupture risk factors but the variability of risk predictions due to model input uncertainties remains a challenging limitation. Methods. The present study derives a Probabilistic Rupture Risk Index (PRRI). Specifically, the uncertainties in AAA wall thickness and wall strength were considered, and wall stress was predicted with a state-of-the-art deterministic biomechanical model. The discriminative power of PRRI was tested in a diameter-matched cohort of ruptured (n=7) and intact (n=7) AAAs and compared to alternative risk assessment methods. Results. Computed PRRI at 1.5 Mean Arterial Pressure was significantly (p=0.041) higher in ruptured AAAs (20.21(SD14.15%) than in intact AAAs (3.71(SD 5.77)%). PRRI showed a high sensitivity and specificity (discriminative power of 0.837) to discriminate between ruptured and intact AAA cases. The underlying statistical representation of stochastic data of wall thickness, wall strength and Peak Wall Stress (PWS) had only negligible effects on PRRI computations. Conclusion. Uncertainties in AAA wall stress predictions, the wide range of reported wall strength and the stochastic nature of failure motivate a probabilistic rupture risk assessment. Advanced AAA biomechanical modeling paired with a probabilistic rupture index definition as known from engineering risk assessment seems to be superior to a purely deterministic approach.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10610 - Biophysics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of the Royal Society Interface
ISSN
1742-5689
e-ISSN
1742-5662
Volume of the periodical
113
Issue of the periodical within the volume
12
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
1-11
UT code for WoS article
000367807000016
EID of the result in the Scopus database
2-s2.0-84954141217