Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients
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Published:2024-08-29
Issue:17
Volume:13
Page:5141
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ISSN:2077-0383
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Container-title:Journal of Clinical Medicine
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language:en
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Short-container-title:JCM
Author:
Doroshenko Olga V.1ORCID, Kuchumov Alex G.123ORCID, Golub Mikhail V.1ORCID, Rakisheva Irina O.3, Skripka Nikita A.1ORCID, Pavlov Sergey P.4ORCID, Strazhec Yulija A.23, Lazarkov Petr V.5ORCID, Saychenko Nikita D.1ORCID, Shekhmametyev Roman M.5
Affiliation:
1. Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia 2. Biofluids Laboratory, Perm National Research Polytechnic University, Perm 614990, Russia 3. Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia 4. Department of General Anatomy, Kuban State Medical University, Krasnodar 350063, Russia 5. S.G. Sukhanov Cardiovascular Center, Perm 614013, Russia
Abstract
Background: The utilization of hemodynamic parameters, whose estimation is often cumbersome, can fasten diagnostics and decision-making related to congenital heart diseases. The main goal of this study is to investigate the relationship between hemodynamic and morphometric features of the thoracic aorta and to construct corresponding predictive models. Methods: Multi-slice spiral computed tomography images of the aortas of patients with coarctation diagnoses and patients without cardiac or vascular diseases were evaluated to obtain numerical models of the aorta and branches of the aortic arch. Hemodynamic characteristics were estimated in key subdomains of the aorta and three branches using computational fluid dynamics methods. The key morphometric features (diameters) were calculated at locations in proximity to the domains, where hemodynamic characteristics are evaluated. Results: The functional dependencies for velocities and pressure on the corresponding diameters have been fitted, and a metamodel has been constructed employing the predicted values from these models. Conclusions: The metamodel demonstrated high accuracy in classifying aortas into their respective types, thereby confirming the adequacy of the predicted hemodynamic characteristics by morphometric characteristics. The proposed methodology is applicable to other heart diseases without fundamental changes.
Funder
Kuban Science Foundation
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