Numerical evaluation of the effectiveness of coronary revascularization

Author:

Simakov Sergey S.123,Gamilov Timur M.124,Liang Fuyou45,Gognieva Daria G.3,Gappoeva Mariam K.3,Kopylov Philipp Yu.4

Affiliation:

1. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences , Moscow 119991 , Russia

2. Moscow Institute of Physics and Technology , Dolgoprudny 141701 , Russia

3. Sechenov University , Moscow 119991 , Russia

4. World–Class Research Center ‘Digital biodesign and personalized healthcare’, I. M. Sechenov First Moscow State Medical University (Sechenov University) , Moscow 119991 , Russia

5. Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University , 200240 Shanghai , China

Abstract

Abstract In the present paper we construct the model of coronary flow which utilizes the patient’s CT data on both large CA and perfusion. We reconstruct large coronary vessels based on the CT data and extrude possibly invisible vessels from the branches of the left coronary artery so that every terminal point supply every of standardized zone of myocardium. We apply a previously developed and validated 1D model of haemodynamics. Utilizing the patient-specific CTP data for modifying outflow terminal resistance at rest and under stress conditions is the major novelty of the present work. From our results it follows that acceptable values of fractional flow reserve (FFR) after the stenotic treatment may produce false negative output. Therefore healthy FFR values may be observed after ineffective revascularization. We also conclude that microvascular perfusion impairment plays significant role in correct computational estimation of haemodynamic indices before stenotic treatment. The advantage of the presented approach is the availability of transmural perfusion ratio assessment in everyday practice.

Publisher

Walter de Gruyter GmbH

Subject

Modeling and Simulation,Numerical Analysis

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