Literature DB >> 27106248

Volume growth of abdominal aortic aneurysms correlates with baseline volume and increasing finite element analysis-derived rupture risk.

Moritz Lindquist Liljeqvist1, Rebecka Hultgren2, T Christian Gasser3, Joy Roy2.   

Abstract

BACKGROUND: The diagnosis and management of abdominal aortic aneurysms (AAAs) currently relies on the aortic maximal diameter, which grows in an unpredictable manner. Infrarenal aortic volume has recently become clinically feasible to measure, and an estimate of biomechanical rupture risk derived from finite element analysis, the peak wall rupture index (PWRI), has been shown to predict AAA rupture. Our objective was to ascertain how well volume growth correlates with baseline volume and increasing PWRI, compared with the maximal diameter.
METHODS: We retrospectively identified 41 AAA patients (nine women, 32 men) at our institution who had undergone two computed tomography angiographies with an interval of 8 to 17 months. Digital three-dimensional reproductions of the aneurysms were segmented from the 82 computed tomography angiographies. AAA diameter, volume, and PWRI were measured and calculated with finite element analysis software. Growth rates of diameter and volume were related to baseline diameter and volume as well as to change rates of PWRI. Significant growth was defined as growth exceeding our interobserver 95% limits of agreement.
RESULTS: Diameter growth rate did not correlate with baseline diameter (r = 0.15, 95% confidence interval [CI], -0.17 to 0.45), but volume growth rate correlated with baseline volume (r = 0.56; 95% CI, 0.30-0.75). The correlation between baseline volume and volume growth rate was stronger than the correlation between baseline diameter and diameter growth rate (95% CI, 0.086-0.71). Increasing PWRI correlated with volume growth rate (r = 0.70; 95% CI, 0.40-0.87) but not with diameter growth rate (r = 0.044; 95% CI, -0.44 to 0.51), and the difference between the correlation coefficients was significant (95% CI, 0.11-1.16).
CONCLUSIONS: Volume better predicts aneurysm growth rate and correlates stronger with increasing estimated biomechanical rupture risk compared with diameter. Our results support the notion of monitoring all three dimensions of an AAA.
Copyright © 2016 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27106248     DOI: 10.1016/j.jvs.2015.11.051

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  16 in total

1.  Wall Stress and Geometry Measures in Electively Repaired Abdominal Aortic Aneurysms.

Authors:  Wei Wu; Balaji Rengarajan; Mirunalini Thirugnanasambandam; Shalin Parikh; Raymond Gomez; Victor De Oliveira; Satish C Muluk; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2019-04-08       Impact factor: 3.934

2.  The Association Between Geometry and Wall Stress in Emergently Repaired Abdominal Aortic Aneurysms.

Authors:  Sathyajeeth S Chauhan; Carlos A Gutierrez; Mirunalini Thirugnanasambandam; Victor De Oliveira; Satish C Muluk; Mark K Eskandari; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2017-04-25       Impact factor: 3.934

Review 3.  Advanced ultrasound techniques in arterial diseases.

Authors:  Xin Li; Demosthenes Cokkinos; Sameer Gadani; Vasileios Rafailidis; Markus Aschwanden; Abraham Levitin; Diane Szaflarski; Levester Kirksey; Daniel Staub; Sasan Partovi
Journal:  Int J Cardiovasc Imaging       Date:  2022-02-23       Impact factor: 2.357

4.  Geometric surrogates of abdominal aortic aneurysm wall mechanics.

Authors:  Jesús Urrutia; Anuradha Roy; Samarth S Raut; Raúl Antón; Satish C Muluk; Ender A Finol
Journal:  Med Eng Phys       Date:  2018-07-10       Impact factor: 2.242

Review 5.  Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth.

Authors:  Petroula Nana; Konstantinos Spanos; Konstantinos Dakis; Alexandros Brodis; George Kouvelos
Journal:  J Clin Med       Date:  2021-04-28       Impact factor: 4.241

6.  Growth Description for Vessel Wall Adaptation: A Thick-Walled Mixture Model of Abdominal Aortic Aneurysm Evolution.

Authors:  Andrii Grytsan; Thomas S E Eriksson; Paul N Watton; T Christian Gasser
Journal:  Materials (Basel)       Date:  2017-08-25       Impact factor: 3.623

7.  A Predictive Analysis of Wall Stress in Abdominal Aortic Aneurysms Using a Neural Network Model.

Authors:  Balaji Rengarajan; Sourav S Patnaik; Ender A Finol
Journal:  J Biomech Eng       Date:  2021-12-01       Impact factor: 2.097

8.  A Volumetric Metric for Monitoring Intracranial Aneurysms: Repeatability and Growth Criteria in a Longitudinal MR Imaging Study.

Authors:  X Liu; H Haraldsson; Y Wang; E Kao; M Ballweber; A J Martin; C E McCulloch; F Faraji; D Saloner
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-24       Impact factor: 4.966

9.  Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management.

Authors:  Emrah Akkoyun; Hamidreza Gharahi; Sebastian T Kwon; Byron A Zambrano; Akshay Rao; Aybar C Acar; Whal Lee; Seungik Baek
Journal:  Comput Methods Programs Biomed       Date:  2021-06-25       Impact factor: 7.027

10.  3D morphometric analysis of ascending aorta as an adjunctive tool to predict type A acute aortic dissection.

Authors:  Wael Saade; Mattia Vinciguerra; Silvia Romiti; Francesco Macrina; Giacomo Frati; Fabio Miraldi; Ernesto Greco
Journal:  J Thorac Dis       Date:  2021-06       Impact factor: 2.895

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