Literature DB >> 28789941

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

Charles A Taylor1, Sara Gaur2, Jonathon Leipsic3, Stephan Achenbach4, Daniel S Berman5, Jesper M Jensen2, Damini Dey5, Hans Erik Bøtker2, Hyun Jin Kim6, Sophie Khem6, Alan Wilk6, Christopher K Zarins6, Hiram Bezerra7, John Lesser8, Brian Ko9, Jagat Narula10, Amir Ahmadi10, Kristian A Øvrehus2, Fred St Goar11, Bernard De Bruyne12, Bjarne L Nørgaard2.   

Abstract

BACKGROUND: We hypothesize that in patients with suspected coronary artery disease (CAD), lower values of the ratio of total epicardial coronary arterial lumen volume to left ventricular myocardial mass (V/M) result in lower fractional flow reserve (FFR).
METHODS: V/M was computed in 238 patients from the NXT trial who underwent coronary computed tomography angiography (CTA), quantitative coronary angiography (QCA) and FFR measurement in 438 vessels. Nitroglycerin was administered prior to CT, QCA and FFR acquisition. The V/M ratio was quantified on a patient-level from CT image data by segmenting the epicardial coronary arterial lumen volume (V) and the left ventricular myocardial mass (M). Calcified and noncalcified plaque volumes were quantified using semi-automated software.
RESULTS: The median value of V/M (18.57 mm3/g) was used to define equal groups of low and high V/M patients. Patients with low V/M had greater diameter stenosis by QCA, more plaque and lower FFR (0.80 ± 0.12 vs. 0.87 ± 0.08; P < 0.0001) than those with high V/M. A total of 365 vessels in 202 patients had QCA stenosis ≤50% and measured FFR. In these patients, those with low V/M had higher percent diameter stenosis by QCA, greater total plaque volume and lower FFR (0.81 ± 0.12 vs. 0.88 ± 0.07; P < 0.0001) than those with high V/M. In multivariate logistic regression analysis, V/M was an independent predictor of FFR ≤0.80 (all p-values < 0.001).
CONCLUSIONS: Patients with a low V/M ratio have lower FFR overall and in non-obstructive CAD, independent of plaque measures.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Coronary computed tomography angiography; Fractional flow reserve

Mesh:

Substances:

Year:  2017        PMID: 28789941     DOI: 10.1016/j.jcct.2017.08.001

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  15 in total

1.  Impact of sublingual nitroglycerin dosage on FFRCT assessment and coronary luminal volume-to-myocardial mass ratio.

Authors:  Kenneth R Holmes; Tim A Fonte; Jonathan Weir-McCall; Malcolm Anastasius; Philipp Blanke; Geoffrey W Payne; Jen Ellis; Darra T Murphy; Charles Taylor; Jonathon A Leipsic; Stephanie L Sellers
Journal:  Eur Radiol       Date:  2019-06-21       Impact factor: 5.315

Review 2.  Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.

Authors:  Tara A Retson; Alexandra H Besser; Sean Sall; Daniel Golden; Albert Hsiao
Journal:  J Thorac Imaging       Date:  2019-05       Impact factor: 3.000

3.  Low coronary flow relative to myocardial mass predicts heart failure in symptomatic hypertensive patients with no obstructive coronary artery disease.

Authors:  Jenifer M Brown; Wunan Zhou; Brittany Weber; Sanjay Divakaran; Leanne Barrett; Courtney F Bibbo; Jon Hainer; Viviany R Taqueti; Sharmila Dorbala; Ron Blankstein; Marcelo F Di Carli
Journal:  Eur Heart J       Date:  2022-09-14       Impact factor: 35.855

4.  Left Ventricular Diastolic Function: Comparison of Slow Coronary Flow Phenomenon and Left Ventricular Hypertrophy in the Absence of Obstructive Coronary Disease.

Authors:  Niya E Semerdzhieva; Stefan V Denchev; Mariana V Gospodinova
Journal:  Cureus       Date:  2022-05-06

Review 5.  The evolving role of coronary computed tomography in understanding sex differences in coronary atherosclerosis.

Authors:  Keva Garg; Toral R Patel; Arjun Kanwal; Todd C Villines; Niti R Aggarwal; Khurram Nasir; Roger S Blumenthal; Michael J Blaha; Pamela S Douglas; Leslee J Shaw; Garima Sharma
Journal:  J Cardiovasc Comput Tomogr       Date:  2021-10-08

6.  Coronary artery volume index: a novel CCTA-derived predictor for cardiovascular events.

Authors:  Georgios Benetos; Ronny R Buechel; Marisa Gonçalves; Dominik C Benz; Elia von Felten; Georgios P Rampidis; Olivier F Clerc; Michael Messerli; Andreas A Giannopoulos; Cathérine Gebhard; Tobias A Fuchs; Aju P Pazhenkottil; Philipp A Kaufmann; Christoph Gräni
Journal:  Int J Cardiovasc Imaging       Date:  2020-01-01       Impact factor: 2.357

7.  Computational investigation of left ventricular hemodynamics following bioprosthetic aortic and mitral valve replacement.

Authors:  Fei Xu; Emily L Johnson; Chenglong Wang; Arian Jafari; Cheng-Hau Yang; Michael S Sacks; Adarsh Krishnamurthy; Ming-Chen Hsu
Journal:  Mech Res Commun       Date:  2020-10-16       Impact factor: 2.254

8.  Allometric scaling patterns among the human coronary artery tree, myocardial mass, and coronary artery flow.

Authors:  Jin-Ho Choi; Eunsoo Kim; Hyung Yoon Kim; Seung-Hwa Lee; Sung Mok Kim
Journal:  Physiol Rep       Date:  2020-07

9.  Impaired Coronary Blood Flow in Patients with Psoriasis: Findings from an Observational Cohort Study.

Authors:  Domingo E Uceda; Amit K Dey; Sundus S Lateef; Khaled Abdelrahman; Milena Aksentijevich; Aarthi S Reddy; Harry Choi; Justin A Rodante; Martin P Playford; David A Bluemke; Wunan Zhou; Marcus Y Chen; Joel M Gelfand; Nehal N Mehta
Journal:  J Invest Dermatol       Date:  2020-10-01       Impact factor: 8.551

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

Authors:  Yu-Fang Hsieh; Chih-Kuo Lee; Weichung Wang; Yu-Cheng Huang; Wen-Jeng Lee; Tzung-Dau Wang; Cheng-Ying Chou
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.379

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