Literature DB >> 27939753

A head-to-head comparison between CT- and IVUS-derived coronary blood flow models.

C A Bulant1, P J Blanco2, G D Maso Talou1, C Guedes Bezerra3, P A Lemos3, R A Feijóo1.   

Abstract

The goal of this work is to compare coronary hemodynamics as predicted by computational blood flow models derived from two imaging modalities: coronary computed tomography angiography (CCTA) and intravascular ultrasound integrated with angiography (IVUS). Criteria to define boundary conditions are proposed to overcome the dissimilar anatomical definition delivered by both modalities. The strategy to define boundary conditions is novel in the present context, and naturally accounts for the flow redistribution induced by the resistance of coronary vessels. Hyperemic conditions are assumed to assess model predictions under stressed hemodynamic environments similar to those encountered in Fractional Flow Reserve (FFR) calculations. As results, it was found that CCTA models predict larger pressure drops, higher average blood velocity and smaller FFR. Concerning the flow rate at distal locations in the major vessels of interest, it was found that CCTA predicted smaller flow than IVUS, which is a consequence of a larger sensitivity of CCTA models to coronary steal phenomena. Comparisons to in-vivo measurements of FFR are shown.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Angiography; Computed tomography; Coronary blood flow; Fractional flow reserve; Intravascular ultrasound; Wall shear stress

Mesh:

Year:  2016        PMID: 27939753     DOI: 10.1016/j.jbiomech.2016.11.070

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  A Framework for Comparing Vascular Hemodynamics at Different Points in Time.

Authors:  J Gounley; M Vardhan; A Randles
Journal:  Comput Phys Commun       Date:  2018-06-02       Impact factor: 4.390

2.  Fractional flow reserve for coronary stenosis assessment derived from fusion of intravascular ultrasound and X-ray angiography.

Authors:  Jun Jiang; Li Feng; Changling Li; Yongqing Xia; Jingsong He; Xiaochang Leng; Liang Dong; Xinyang Hu; Jian'an Wang; Jianping Xiang
Journal:  Quant Imaging Med Surg       Date:  2021-11

Review 3.  Risk stratification of coronary plaques using physiologic characteristics by CCTA: Focus on shear stress.

Authors:  Habib Samady; David S Molony; Ahmet U Coskun; Anubodh S Varshney; Bernard De Bruyne; Peter H Stone
Journal:  J Cardiovasc Comput Tomogr       Date:  2019-12-04

4.  Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve.

Authors:  P J Blanco; C A Bulant; L O Müller; G D Maso Talou; C Guedes Bezerra; P A Lemos; R A Feijóo
Journal:  Sci Rep       Date:  2018-11-22       Impact factor: 4.379

5.  Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies.

Authors:  Jason Matthew Carson; Sanjay Pant; Carl Roobottom; Robin Alcock; Pablo Javier Blanco; Carlos Alberto Bulant; Yuri Vassilevski; Sergey Simakov; Timur Gamilov; Roman Pryamonosov; Fuyou Liang; Xinyang Ge; Yue Liu; Perumal Nithiarasu
Journal:  Int J Numer Method Biomed Eng       Date:  2019-08-16       Impact factor: 2.747

6.  Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies.

Authors:  Gonzalo D Maso Talou; Pablo J Blanco; Gonzalo D Ares; Cristiano Guedes Bezerra; Pedro A Lemos; Raúl A Feijóo
Journal:  Front Physiol       Date:  2018-03-28       Impact factor: 4.566

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.