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Articles (11)
Year:
2023
Year:
2023
Year:
2023
Background: Anomalous Aortic Origin of a Coronary Artery (AAOCA) is a congenital condition that can lead to ischemia and sudden cardiac death. Current diagnostic tools are unable to fully quantify the pathological behavior that occurs mainly with physical effort. Methods: Patients’ computed tomography scans and centerline-based geometric quantities were used to develop three-dimensional computer-aided design models of the main anatomical variants of AAOCA. Blood pressure ranging from rest to extreme effort was simulated through structural finite element analyses, and the pressurized geometries were analyzed to evaluate coronary lumen cross-sectional areas and variations at the different loading conditions. Results: We simulated 39 subjects, demonstrating the ability to reproduce accurately the patient-specific anatomy of different AAOCA variants and capture pathological behaviors. AAOCAs with intramural courses showed compression along the proximal segment with a caliber reduction ranging from 0.14% to 18.87% at different pressure levels. The percentage of proximal narrowing relative to the distal segment was greater than any other type of anomalous course and exceeded 50% with simulated exertion. Conclusions: The present study proposes a computational pipeline to investigate conditions not reproducible in clinical practice, providing information to support decision-making in the management of AAOCA patients.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Collaborators (6)
Laura Russo
University of Milano-Bicocca
ELIA BARI
Assistant professor
Università degli Studi del Piemonte Orientale Amedeo Avogadro
Ferdinando Auricchio
Professor
Università degli Studi di Pavia
Stefania Marconi
Assistant Professor (RTDb)
University of Pavia
Daniele Bianchi
Assistant Professor
Università Campus Bio-Medico di Roma
Lorena Segale
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