Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients

<b>Background</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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. <b>Conclusions</b>: 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.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2024-08-29
DOI
https://doi.org/10.3390/jcm13175141
Citations
3
Primary Topic
Congenital Heart Disease Studies
Type
article
Field-Weighted Citation Impact
1.16

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article

Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients

S. P. Pavlov, Mikhail V. Golub, Alex G. Kuchumov, P. V. Lazarkov et al.
3 citations
Journal of Clinical Medicine
Congenital Heart Disease Studies
1.16
article

Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients

S. P. Pavlov, Mikhail V. Golub, Alex G. Kuchumov, P. V. Lazarkov, Olga V. Doroshenko, Nikita D. Saychenko, Irina O. Rakisheva, Yulija A. Strazhec, Nikita A. Skripka, R. M. Shekhmametyev
article en
3 citations

Abstract

<b>Background</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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. <b>Conclusions</b>: 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.

Journal of Clinical MedicineVol. 13(17)
Kuban State University (RU), Kuban State Medical University (RU), Perm National Research Polytechnic University (RU), Federal State Budgetary Institution "Federal Center For Cardiovascular Surgery" Ministry of Health of The Russian Federation (RU)
Kuban Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Congenital Heart Disease Studies
1.16
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