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J Mech Behav Biomed Mater ; 134: 105403, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-36049368

RESUMO

BACKGROUND: Rupture of unstable atherosclerotic plaques with a large lipid-rich necrotic core and a thin fibrous cap cause myocardial infarction and stroke. Yet it has not been possible to assess this for individual patients. Clinical guidelines still rely on use of luminal narrowing, a poor indicator but one that persists for lack of effective means to do better. We present a case study demonstrating the assessment of biomechanical indices pertaining to plaque rupture risk non-invasively for individual patients enabled by histologically validated tissue characterization. METHODS: Routinely acquired clinical images of plaques were analyzed to characterize vascular wall tissues using software validated by histology (ElucidVivo, Elucid Bioimaging Inc.). Based on the tissue distribution, wall stress and strain were then calculated at spatial locations with varied fibrous cap thicknesses at diastolic, mean and systolic blood pressures. RESULTS: The von Mises stress of 152 [131, 172] kPa and the equivalent strain of 0.10 [0.08, 0.12] were calculated where the fibrous cap thickness was smallest (560 µm) (95% CI in brackets). The stress at this location was at a level predictive of plaque failure. Stress and strain at locations with larger cap thicknesses were calculated to be lower, demonstrating a clinically relevant range of risk levels. CONCLUSION: Patient specific tissue characterization can identify distributions of stress and strain in a clinically relevant range. This capability may be used to identify high-risk lesions and personalize treatment decisions for individual patients with cardiovascular disease and improve prevention of myocardial infarction and stroke.


Assuntos
Infarto do Miocárdio , Placa Aterosclerótica , Acidente Vascular Cerebral , Angiografia por Tomografia Computadorizada , Fibrose , Humanos , Infarto do Miocárdio/diagnóstico por imagem , Placa Aterosclerótica/diagnóstico por imagem , Placa Aterosclerótica/patologia , Acidente Vascular Cerebral/diagnóstico por imagem
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