JTCVS Open · 2023 · 15 citations · 29 references
MedicineCardiologySurgeryCardiothoracic SurgeryMechanical Behavior Of MaterialsVascular SurgeryAneurysm RepairAneurysm SurgeryAortic Aneurysm RepairAortic DiseaseAortic SurgeryMechanical CharacterizationAneurysm MechanicsAneurysm Rupture Risk StratificationAortic BiomechanicsAortic Diameter AssessmentAortic Tissue BiomechanicsAortic Wall StressMechanical Failure CriteriaWall Shear Stress
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.
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Eric M. Isselbacher, Ourania Preventza, James H. Black et al. · Circulation · 2022 · 1.8K citations · Full text
Medicine, Cardiology, Surgery +17
Aortic Diameter ≥5.5 cm Is Not a Good Predictor of Type A Aortic Dissection
Linda Pape, Thomas T. Tsai, Eric M. Isselbacher et al. · Circulation · 2007 · 830 citations · Full text
Medicine, Cardiology, Surgery +12
A population-based phenome-wide association study of cardiac and aortic structure and function
Wenjia Bai, Hideaki Suzuki, Jian Huang et al. · Nature Medicine · 2020 · 273 citations · Full text
Life Sciences, Cardiology, Genetics +14