Evidence map›Paper›PMID 38204617›Full record

ArticleJTCVS open2023

Stiffness matters: Improved failure risk assessment of ascending thoracic aortic aneurysms.

Klaas Vander Linden, Emma Vanderveken, Lucas Van Hoof, Lauranne Maes, Heleen Fehervary, Silke Dreesen, Amber Hendrickx, Peter Verbrugghe, Filip Rega, Bart Meuris and 1 more

Abstract read
In one paragraph

Article in JTCVS open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Klaas Vander LindenDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Emma VandervekenDepartment of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Lucas Van HoofDepartment of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium.
Lauranne MaesDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Heleen FehervaryDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Silke DreesenDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Amber HendrickxDepartment of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Peter VerbruggheDepartment of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium.
Filip RegaDepartment of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium.
Bart MeurisDepartment of Cardiac Surgery, University Hospitals Leuven, Leuven, Belgium.
Nele FamaeyDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Rupture and dissection are feared complications of ascending thoracic aortic aneurysms caused by mechanical failure of the wall. The current method of using the aortic diameter to predict the risk of wall failure and to determine the need for surgical resection lacks accuracy. Therefore, this study aims to identify reliable and clinically measurable predictors for aneurysm rupture or dissection by performing a personalized failure risk analysis, including clinical, geometrical, histologic, and mechanical data. Methods: The study cohort consisted of 33 patients diagnosed with ascending aortic aneurysms without genetic syndromes. Uniaxial tensile tests until failure were performed to determine the wall strength. Material parameters were fitted against ex vivo planar biaxial data and in vivo pressure-diameter relationships at diastole and systole, which were derived from multiphasic computed tomography (CT) scans. Using the resulting material properties and in vivo data, the maximal in vivo stress at systole was calculated, assuming a thin-walled axisymmetric geometry. The retrospective failure risk was calculated by comparing the peak wall stress at suprasystolic pressure with the wall strength. Results: The distensibility coefficient, reflecting aortic compliance and derived from blood pressure measurements and multiphasic CT scans, outperformed predictors solely based on geometrical features in assessing the risk of aneurysm failure. Conclusions: In a clinical setting, multiphasic CT scans followed by the calculation of the distensibility coefficient are of added benefit in patient-specific, clinical decision-making. The distensibility derived from the aneurysm volume change has the best predictive power, as it also takes the axial stretch into account.

Indexed as

aortic complianceascending thoracic aortic aneurysmdissectionrisk assessmentrupturesurgical guidelines

Identifiers

PMID38204617
PMCPMC10775041

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.