Peak wall stress measurement in elective and acute abdominal aortic aneurysms

Heng, M.; Fagan, Michael J.; Collier, Jason W.; Desai, Grishma; McCollum, P. T.; Chetter, Ian

doi:10.1016/j.jvs.2007.09.002

Cited by 89 publications

(113 citation statements)

References 23 publications

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“…Aortic peak wall stress (PWS) was investigated as a marker for AAA rupture in 9 studies 60, 62, 63, 64, 66, 72, 73, 74, 75. In 7 studies, significantly higher PWS (ranging 1.29–1.66‐fold higher) was found in ruptured (and symptomatic) AAA patients than in asymptomatic AAA patients (2 low risk, 4 medium risk, and 1 high risk of bias; total n=536).…”

Section: Resultsmentioning

confidence: 99%

Systematic Review of Circulating, Biomechanical, and Genetic Markers for the Prediction of Abdominal Aortic Aneurysm Growth and Rupture

Groeneveld

Meekel

Rubinstein

et al. 2018

JAHA

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BackgroundThe natural course of abdominal aortic aneurysms (AAA) is growth and rupture if left untreated. Numerous markers have been investigated; however, none are broadly acknowledged. Our aim was to identify potential prognostic markers for AAA growth and rupture.Methods and ResultsPotential circulating, biomechanical, and genetic markers were studied. A comprehensive search was conducted in PubMed, Embase, and Cochrane Library in February 2017, following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. Study selection, data extraction, and methodological quality assessment were conducted by 2 independent researchers. Plausibility of markers was based on the amount of publications regarding the marker (more than 3), pooled sample size (more than 100), bias risk and statistical significance of the studies. Eighty‐two studies were included, which examined circulating (n=40), biomechanical (n=27), and genetic markers (n=7) and combinations of markers (n=8). Factors with an increased expansion risk included: AAA diameter (9 studies; n=1938; low bias risk), chlamydophila pneumonia (4 studies; n=311; medium bias risk), S‐elastin peptides (3 studies; n=205; medium bias risk), fluorodeoxyglucose uptake (3 studies; n=104; medium bias risk), and intraluminal thrombus size (5 studies; n=758; medium bias risk). Factors with an increased rupture risk rupture included: peak wall stress (9 studies; n=579; medium bias risk) and AAA diameter (8 studies; n=354; medium bias risk). No meta‐analysis was conducted because of clinical and methodological heterogeneity.ConclusionsWe identified 5 potential markers with a prognostic value for AAA growth and 2 for rupture. While interpreting these data, one must realize that conclusions are based on small sample sizes and clinical and methodological heterogeneity. Prospective and methodological consonant studies are strongly urged to further study these potential markers.

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Section: Resultsmentioning

confidence: 99%

Systematic Review of Circulating, Biomechanical, and Genetic Markers for the Prediction of Abdominal Aortic Aneurysm Growth and Rupture

Groeneveld

Meekel

Rubinstein

et al. 2018

JAHA

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“…The possible relation of PWS to the risk and the site of rupture in AAAs have been delineated in many studies. PWS has been estimated in ruptured and nonruptured, diameter-matched AAAs and was found to be significantly higher in the rupture group near the time of rupture (Fillinger et al, 2002, Heng et al, 2008Venkatasubramaniam et al, 2004;Truijers et al, 2007;Vande Geest et al, 2008, Raghavan et al, 2005a. Moreover, a large prospective study by Fillinger et al (Fillinger et al, 2003) showed that PWS could differentiate AAAs that required urgent repair better than the maximum diameter criterion.…”

Section: Fig 2 Creation Of the Meshmentioning

confidence: 99%

Pathopysiology of Abdominal Aortic Aneurysm Rupture and Expansion: New Insight on an Old Problem

Georgakarakos¹,

Ioannou²

2011

Etiology, Pathogenesis and Pathophysiology of Aortic Aneurysms and Aneurysm Rupture

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“…Manual delineation of the AAA geometry in 3D CT and MR images is a very tedious, time-consuming activity that leads to great variability in the geometry created by different users [10,15,46]. As a consequence, also the simulated flow and wall-stress values may vary greatly.…”

Section: Segmentationmentioning

confidence: 99%

“…As a consequence, also the simulated flow and wall-stress values may vary greatly. For, example in [15] an inter-user variation was found of over 100% between the lowest and highest stress value for the same patient (manual segmentation of CTA image data). Automation of the contour delineation may help to reduce user-induced stress variability [33,45].…”

Section: Segmentationmentioning

confidence: 99%

Towards patient-specific risk assessment of abdominal aortic aneurysm

Breeuwer

Putter

Kose

et al. 2008

Med Biol Eng Comput

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers)Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Breeuwer, M., Putter, de, S., Kose, U., Speelman, L., Visser, K., Gerritsen, F. A., ... Vosse, van de, F. N. (2008). Towards patient-specific risk assessment of abdominal aortic aneurysm. Medical and Biological Engineering and Computing, 46(11), 1085-1095. DOI: 10.1007/s11517-008-0393-0 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract Diagnosis of vascular disease and selection and planning of therapy are to a large extent based on the geometry of the diseased vessel. Treatment of a particular vascular disease is usually considered if the geometrical parameter that characterizes the severity of the disease, e.g. % vessel narrowing, exceeds a threshold. The thresholds that are used in clinical practice are based on epidemiological knowledge, which has been obtained by clinical studies including large numbers of patients. They may apply ''on average'', but they can be sub-optimal for individual patients. To realize more patient-specific treatment decision criteria, more detailed knowledge may be required about the vascular hemodynamics, i.e. the blood flow and pressure in the diseased vessel and the biomechanical reaction of the vessel wall to this flow and pressure. Over the last decade, a substantial number of publications have appeared on hemodynamic modeling. Some studies have provided first evidence that this modeling may indeed be used to support therapeutic decisions. The goal of the research reported in this paper is to go one step further, namely to investigate the feasibilit...

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Peak wall stress measurement in elective and acute abdominal aortic aneurysms

Cited by 89 publications

References 23 publications

Systematic Review of Circulating, Biomechanical, and Genetic Markers for the Prediction of Abdominal Aortic Aneurysm Growth and Rupture

Systematic Review of Circulating, Biomechanical, and Genetic Markers for the Prediction of Abdominal Aortic Aneurysm Growth and Rupture

Pathopysiology of Abdominal Aortic Aneurysm Rupture and Expansion: New Insight on an Old Problem

Towards patient-specific risk assessment of abdominal aortic aneurysm

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