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

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

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3