Literature DB >> 34226598

Coronary CT angiography-based estimation of myocardial perfusion territories for coronary artery FFR and wall shear stress simulation.

Yu-Fang Hsieh1, Chih-Kuo Lee2, Weichung Wang3, Yu-Cheng Huang4, Wen-Jeng Lee4, Tzung-Dau Wang5, Cheng-Ying Chou6.   

Abstract

This study aims to apply a CCTA-derived territory-based patient-specific estimation of boundary conditions for coronary artery fractional flow reserve (FFR) and wall shear stress (WSS) simulation. The non-invasive simulation can help diagnose the significance of coronary stenosis and the likelihood of myocardial ischemia. FFR is often regarded as the gold standard to evaluate the functional significance of stenosis in coronary arteries. In another aspect, proximal wall shear stress ([Formula: see text]) can also be an indicator of plaque vulnerability. During the simulation process, the mass flow rate of the blood in coronary arteries is one of the most important boundary conditions. This study utilized the myocardium territory to estimate and allocate the mass flow rate. 20 patients are included in this study. From the knowledge of anatomical information of coronary arteries and the myocardium, the territory-based FFR and the [Formula: see text] can both be derived from fluid dynamics simulations. Applying the threshold of distinguishing between significant and non-significant stenosis, the territory-based method can reach the accuracy, sensitivity, and specificity of 0.88, 0.90, and 0.80, respectively. For significantly stenotic cases ([Formula: see text] [Formula: see text] 0.80), the vessels usually have higher wall shear stress in the proximal region of the lesion.

Entities:  

Year:  2021        PMID: 34226598     DOI: 10.1038/s41598-021-93237-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  28 in total

1.  Multiscale modeling of the cardiovascular system: application to the study of pulmonary and coronary perfusions in the univentricular circulation.

Authors:  Katia Laganà; Rossella Balossino; Francesco Migliavacca; Giancarlo Pennati; Edward L Bove; Marc R de Leval; Gabriele Dubini
Journal:  J Biomech       Date:  2005-05       Impact factor: 2.712

2.  Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm.

Authors:  Adriaan Coenen; Marisa M Lubbers; Akira Kurata; Atsushi Kono; Admir Dedic; Raluca G Chelu; Marcel L Dijkshoorn; Frank J Gijsen; Mohamed Ouhlous; Robert-Jan M van Geuns; Koen Nieman
Journal:  Radiology       Date:  2014-10-13       Impact factor: 11.105

3.  Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis.

Authors:  Abdul Rahman Ihdayhid; Takuya Sakaguchi; Jesper J Linde; Mathias H Sørgaard; Klaus F Kofoed; Yasuko Fujisawa; Jacqui Hislop-Jambrich; Nitesh Nerlekar; James D Cameron; Ravi K Munnur; Marcus Crosset; Dennis T L Wong; Sujith K Seneviratne; Brian S Ko
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2018-11-01       Impact factor: 6.875

4.  Simple and accurate way for estimating total and segmental arterial compliance: the pulse pressure method.

Authors:  N Stergiopulos; J J Meister; N Westerhof
Journal:  Ann Biomed Eng       Date:  1994 Jul-Aug       Impact factor: 3.934

5.  Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve.

Authors:  Charles A Taylor; Sara Gaur; Jonathon Leipsic; Stephan Achenbach; Daniel S Berman; Jesper M Jensen; Damini Dey; Hans Erik Bøtker; Hyun Jin Kim; Sophie Khem; Alan Wilk; Christopher K Zarins; Hiram Bezerra; John Lesser; Brian Ko; Jagat Narula; Amir Ahmadi; Kristian A Øvrehus; Fred St Goar; Bernard De Bruyne; Bjarne L Nørgaard
Journal:  J Cardiovasc Comput Tomogr       Date:  2017-08-03

Review 6.  Patient-specific modeling of blood flow and pressure in human coronary arteries.

Authors:  H J Kim; I E Vignon-Clementel; J S Coogan; C A Figueroa; K E Jansen; C A Taylor
Journal:  Ann Biomed Eng       Date:  2010-06-18       Impact factor: 3.934

7.  Coronary pressure measurement to assess the hemodynamic significance of serial stenoses within one coronary artery: validation in humans.

Authors:  N H Pijls; B De Bruyne; G J Bech; F Liistro; G R Heyndrickx; H J Bonnier; J J Koolen
Journal:  Circulation       Date:  2000-11-07       Impact factor: 29.690

Review 8.  Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis.

Authors:  Charles A Taylor; Timothy A Fonte; James K Min
Journal:  J Am Coll Cardiol       Date:  2013-04-03       Impact factor: 24.094

9.  Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris.

Authors:  Mahdieh Khanmohammadi; Kjersti Engan; Charlotte Sæland; Trygve Eftestøl; Alf I Larsen
Journal:  Front Cardiovasc Med       Date:  2019-01-22

Review 10.  Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography Datasets: The Next Frontier in Noninvasive Assessment of Coronary Artery Disease.

Authors:  Caroline Ball; Gianluca Pontone; Mark Rabbat
Journal:  Biomed Res Int       Date:  2018-07-25       Impact factor: 3.411

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