Literature DB >> 21679063

Reproducibility of deriving parameters of AAA rupture risk from patient-specific 3D finite element models.

Alexander Hyhlik-Dürr1, Tim Krieger, Philipp Geisbüsch, Drosos Kotelis, Thomas Able, Dittmar Böckler.   

Abstract

PURPOSE: To assess the reproducibility of estimating biomechanical parameters of abdominal aortic aneurysms (AAA) based on finite element (FE) computations derived from a commercially available, semiautomatic vascular analyzer that reconstructs computed tomographic angiography (CTA) data into FE models.
METHODS: The CTA data from 10 consecutive male patients (mean age 74 years, range 63-87) with a fusiform infrarenal AAA >5 cm in diameter were used for this study, along with the CTA scans from 4 individuals without aortic disease. Three different observers used semiautomatic reconstruction software to create deformable contour models from axial CT scans. These 3-dimensional FE models captured the aortic wall and thrombus tissue using isotropic finite strain constitutive modeling. Geometric (maximum diameter and volume measurements based on an anatomical centerline) and biomechanical determinants [aneurysm peak wall stress (PWS) and the peak wall rupture risk (PWRR) index] were then calculated from the FE models. The determinations were made 5 times for each anonymized dataset presented for analysis in random order (5-fold measurements for 14 datasets produced 210 measurements from the 3 observers). Inter- and intraobserver variability were assessed by calculating the coefficient of variation of these repeated measures. The methodological variations were expressed with the intraclass correlation coefficient (ICC) and Bland-Altman plots.
RESULTS: The median segmentation time was < 1 hour (mean 39.2 minutes, range 25-48) for datasets from the AAA patients; for the healthy individuals, segmentation times were considerably shorter (median 8.7 minutes, range 4-15). Intraobserver reproducibility was high, as represented by a CV <3% for the diameter measurement and < 5.5% for volume, PWS, and the PWRR index. The ICC was 0.97 (range 0.95-0.98) for diameter and 0.98 (range 0.97-0.99) for volume; for PWS and the PWRR index, the ICCs were equal at 0.98 (range 0.97-0.99).
CONCLUSION: The reproducibility of volume and maximum diameter measurements in infrarenal AAAs with FE analysis is high. With the model used in this semiautomatic reconstruction software, wall stress analysis can be achieved with high agreement among observers and in serial measurements by a single observer.

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Year:  2011        PMID: 21679063     DOI: 10.1583/10-3384MR.1

Source DB:  PubMed          Journal:  J Endovasc Ther        ISSN: 1526-6028            Impact factor:   3.487


  7 in total

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Authors:  Susanne Dihlmann; Philipp Erhart; Arianeb Mehrabi; Arash Nickkholgh; Felix Lasitschka; Dittmar Böckler; Maani Hakimi
Journal:  Mol Med       Date:  2014-06-19       Impact factor: 6.354

Review 2.  Biomechanical Rupture Risk Assessment: A Consistent and Objective Decision-Making Tool for Abdominal Aortic Aneurysm Patients.

Authors:  T Christian Gasser
Journal:  Aorta (Stamford)       Date:  2016-04-01

3.  Biomechanical rupture risk assessment of abdominal aortic aneurysms based on a novel probabilistic rupture risk index.

Authors:  Stanislav Polzer; T Christian Gasser
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

4.  High Structural Stress and Presence of Intraluminal Thrombus Predict Abdominal Aortic Aneurysm 18F-FDG Uptake: Insights From Biomechanics.

Authors:  Yuan Huang; Zhongzhao Teng; Maysoon Elkhawad; Jason M Tarkin; Nikhil Joshi; Jonathan R Boyle; John R Buscombe; Timothy D Fryer; Yongxue Zhang; Ah Yeon Park; Ian B Wilkinson; David E Newby; Jonathan H Gillard; James H F Rudd
Journal:  Circ Cardiovasc Imaging       Date:  2016-11       Impact factor: 7.792

5.  BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms.

Authors:  Grand Roman Joldes; Karol Miller; Adam Wittek; Rachael O Forsythe; David E Newby; Barry J Doyle
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

6.  Biomechanical changes during abdominal aortic aneurysm growth.

Authors:  Raoul R F Stevens; Andrii Grytsan; Jacopo Biasetti; Joy Roy; Moritz Lindquist Liljeqvist; T Christian Gasser
Journal:  PLoS One       Date:  2017-11-07       Impact factor: 3.240

7.  Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Authors:  Moritz Lindquist Liljeqvist; Marko Bogdanovic; Antti Siika; T Christian Gasser; Rebecka Hultgren; Joy Roy
Journal:  Sci Rep       Date:  2021-09-10       Impact factor: 4.379

  7 in total

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