Michele Conti

University of Pavia
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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

ITALY
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ELIA BARI

Assistant professor

Università degli Studi del Piemonte Orientale Amedeo Avogadro

ITALY
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Ferdinando Auricchio

Professor

Università degli Studi di Pavia

ITALY
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Stefania Marconi

Assistant Professor (RTDb)

University of Pavia

ITALY
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Daniele Bianchi

Assistant Professor

Università Campus Bio-Medico di Roma

ITALY
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Lorena Segale

-

ITALY
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