ArticleJVS-vascular science2021
Relative strain is a novel predictor of aneurysmal degeneration of the thoracic aorta: An ex vivo mechanical study.
Article in JVS-vascular science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Applications of Artificial Intelligence as a Prognostic Tool in the Management of Acute Aortic Syndrome and Aneurysm: A Comprehensive Review.Journal of clinical medicine · 2025Review
- Mendelian Randomization Suggests a Causal Link Between Glycemic Traits and Thoracic Aortic Structures and Diseases.JACC. Basic to translational science · 2025Article
- Novel Insights into the Aortic Mechanical Properties of Mice Modeling Hereditary Aortic Diseases.Thrombosis and haemostasis · 2025Article
- Regional Stiffness and Hardening Indices: New Indicators Derived from Multidimensional Dynamic CTA for Aneurysm Risk Assessment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Experimental Protocols to Test Aortic Soft Tissues: A Systematic Review.Bioengineering (Basel, Switzerland) · 2024Review
- Emerging role of radiogenomics in genetically triggered thoracic aortic aneurysm and dissection: a narrative review.Annals of translational medicine · 2023Review
- Article
- Elastin integrity in bicuspid valve-associated aortopathy is associated with altered biomechanical properties and influenced by age.Annals of cardiothoracic surgery · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveCurrent guidelines for prophylactic replacement of the thoracic aorta, primarily based on size alone, may not be adequate in identifying patients at risk for either progression of disease or aortic catastrophe. We undertook the current study to determine whether the mechanical properties of the aorta might be able to predict aneurysmal dilatation of the aorta using a clinical database and benchtop mechanical testing of human aortic tissue.
methodsUsing over 400 samples from 31 patients, mechanical properties were studied in (a) normal aorta and then (b) between normal and diseased aorta using linear mixed-effects models. A machine learning technique was used to predict aortic growth rate over time using mechanical properties and baseline clinical characteristics.
resultsHealthy aortic tissue under in vivo loading conditions, after accounting for aortic segment location, had lower longitudinal elastic modulus compared with circumferential elastic modulus: -166.8 kPa (95% confidence interval [CI]: -210.8 to -122.7,
conclusionsIncreasing relative strain was identified as a novel independent predictor of aneurysmal degeneration. Noninvasive measurement of relative strain may aid in the identification and monitoring of patients at risk for aneurysmal degeneration. (JVS-Vascular Science 2021;2:1-12.). CLINICAL RELEVANCE: Aortic aneurysm surveillance and prophylactic surgical recommendations are based on computed tomographic angiogram aortic dimensions and growth rate measurements. However, aortic catastrophes may occur at small sizes, confounding current risk stratification models. Herein, we report that increasing aortic relative strain, that is, greater distensibility, is associated with growth over time, thus potentially identifying patients at risk for dissection/rupture.
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