Literature DB >> 27757402

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

T Christian Gasser1.   

Abstract

Abdominal aortic aneurysm (AAA) rupture is a local event in the aneurysm wall that naturally demands tools to assess the risk for local wall rupture. Consequently, global parameters like the maximum diameter and its expansion over time can only give very rough risk indications; therefore, they frequently fail to predict individual risk for AAA rupture. In contrast, the Biomechanical Rupture Risk Assessment (BRRA) method investigates the wall's risk for local rupture by quantitatively integrating many known AAA rupture risk factors like female sex, large relative expansion, intraluminal thrombus-related wall weakening, and high blood pressure. The BRRA method is almost 20 years old and has progressed considerably in recent years, it can now potentially enrich the diameter indication for AAA repair. The present paper reviews the current state of the BRRA method by summarizing its key underlying concepts (i.e., geometry modeling, biomechanical simulation, and result interpretation). Specifically, the validity of the underlying model assumptions is critically disused in relation to the intended simulation objective (i.e., a clinical AAA rupture risk assessment). Next, reported clinical BRRA validation studies are summarized, and their clinical relevance is reviewed. The BRRA method is a generic, biomechanics-based approach that provides several interfaces to incorporate information from different research disciplines. As an example, the final section of this review suggests integrating growth aspects to (potentially) further improve BRRA sensitivity and specificity. Despite the fact that no prospective validation studies are reported, a significant and still growing body of validation evidence suggests integrating the BRRA method into the clinical decision-making process (i.e., enriching diameter-based decision-making in AAA patient treatment).

Entities:  

Keywords:  Abdominal aortic aneurysm; Biomechanics; Peak wall stress; Rupture risk; Wall stress

Year:  2016        PMID: 27757402      PMCID: PMC5054755          DOI: 10.12945/j.aorta.2015.15.030

Source DB:  PubMed          Journal:  Aorta (Stamford)        ISSN: 2325-4637


  79 in total

1.  Biomechanical properties of ruptured versus electively repaired abdominal aortic aneurysm wall tissue.

Authors:  Elena S Di Martino; Ajay Bohra; Jonathan P Vande Geest; Navyash Gupta; Michel S Makaroun; David A Vorp
Journal:  J Vasc Surg       Date:  2006-03       Impact factor: 4.268

2.  Importance of material model in wall stress prediction in abdominal aortic aneurysms.

Authors:  Stanislav Polzer; T Christian Gasser; Jiri Bursa; Robert Staffa; Robert Vlachovsky; Vojtech Man; Pavel Skacel
Journal:  Med Eng Phys       Date:  2013-02-21       Impact factor: 2.242

3.  Autopsy study of unoperated abdominal aortic aneurysms. The case for early resection.

Authors:  R C Darling; C R Messina; D C Brewster; L W Ottinger
Journal:  Circulation       Date:  1977-09       Impact factor: 29.690

4.  Towards a noninvasive method for determination of patient-specific wall strength distribution in abdominal aortic aneurysms.

Authors:  Jonathan P Vande Geest; David H J Wang; Stephen R Wisniewski; Michel S Makaroun; David A Vorp
Journal:  Ann Biomed Eng       Date:  2006-06-20       Impact factor: 3.934

5.  A biomechanics-based rupture potential index for abdominal aortic aneurysm risk assessment: demonstrative application.

Authors:  Jonathan P Vande Geest; Elena S Di Martino; Ajay Bohra; Michel S Makaroun; David A Vorp
Journal:  Ann N Y Acad Sci       Date:  2006-11       Impact factor: 5.691

Review 6.  Meta-analysis of peak wall stress in ruptured, symptomatic and intact abdominal aortic aneurysms.

Authors:  S Khosla; D R Morris; J V Moxon; P J Walker; T C Gasser; J Golledge
Journal:  Br J Surg       Date:  2014-08-11       Impact factor: 6.939

7.  Porohyperelastic finite element modeling of abdominal aortic aneurysms.

Authors:  Avinash Ayyalasomayajula; Jonathan P Vande Geest; Bruce R Simon
Journal:  J Biomech Eng       Date:  2010-10       Impact factor: 2.097

8.  Influence of intraluminal thrombus on structural and cellular composition of abdominal aortic aneurysm wall.

Authors:  Monsur Kazi; Johan Thyberg; Piotr Religa; Joy Roy; Per Eriksson; Ulf Hedin; Jesper Swedenborg
Journal:  J Vasc Surg       Date:  2003-12       Impact factor: 4.268

9.  Three-dimensional geometrical characterization of abdominal aortic aneurysms: image-based wall thickness distribution.

Authors:  Giampaolo Martufi; Elena S Di Martino; Cristina H Amon; Satish C Muluk; Ender A Finol
Journal:  J Biomech Eng       Date:  2009-06       Impact factor: 2.097

10.  Rupture in small abdominal aortic aneurysms.

Authors:  S C Nicholls; J B Gardner; M H Meissner; H K Johansen
Journal:  J Vasc Surg       Date:  1998-11       Impact factor: 4.268

View more
  7 in total

1.  A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms.

Authors:  Balaji Rengarajan; Wei Wu; Crystal Wiedner; Daijin Ko; Satish C Muluk; Mark K Eskandari; Prahlad G Menon; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2020-01-24       Impact factor: 3.934

2.  A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; John A Elefteriades; Wei Sun
Journal:  Biomech Model Mechanobiol       Date:  2017-04-06

3.  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

4.  Bioinformatics analysis identifies potential diagnostic signatures for coronary artery disease.

Authors:  Dong Zhang; Liying Guan; Xiaoming Li
Journal:  J Int Med Res       Date:  2020-12       Impact factor: 1.671

5.  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

6.  Biomechanical rupture risk assessment of abdominal aortic aneurysms using clinical data: A patient-specific, probabilistic framework and comparative case-control study.

Authors:  Lukas Bruder; Jaroslav Pelisek; Hans-Henning Eckstein; Michael W Gee
Journal:  PLoS One       Date:  2020-11-19       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

北京卡尤迪生物科技股份有限公司 © 2022-2023.