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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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