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Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients.
Doroshenko, Olga V; Kuchumov, Alex G; Golub, Mikhail V; Rakisheva, Irina O; Skripka, Nikita A; Pavlov, Sergey P; Strazhec, Yulija A; Lazarkov, Petr V; Saychenko, Nikita D; Shekhmametyev, Roman M.
Afiliación
  • Doroshenko OV; Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia.
  • Kuchumov AG; Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia.
  • Golub MV; Biofluids Laboratory, Perm National Research Polytechnic University, Perm 614990, Russia.
  • Rakisheva IO; Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia.
  • Skripka NA; Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia.
  • Pavlov SP; Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia.
  • Strazhec YA; Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia.
  • Lazarkov PV; Department of General Anatomy, Kuban State Medical University, Krasnodar 350063, Russia.
  • Saychenko ND; Biofluids Laboratory, Perm National Research Polytechnic University, Perm 614990, Russia.
  • Shekhmametyev RM; Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia.
J Clin Med ; 13(17)2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39274354
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Suiza