Distal-vessel fractional flow reserve by computed tomography to monitor epicardial coronary artery disease

Author:

Chen Michael1,Almeida Shone O2,Sayre James W3,Karlsberg Ronald P24,Packard René R Sevag1567891011ORCID

Affiliation:

1. Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California , 10833 Le Conte Ave., CHS Building Room 43-268, Los Angeles, CA 90095 , USA

2. Cardiovascular Research Foundation of Southern California , Beverly Hills, CA , USA

3. Department of Biostatistics, Fielding School of Public Health, University of California , Los Angeles, CA , USA

4. Cedars-Sinai Smidt Heart Institute , Los Angeles, CA , USA

5. Cardiovascular Research Foundation of Southern California , Beverly Hills , CA, USA

6. Ronald Reagan UCLA Medical Center , Los Angeles, CA , USA

7. Veterans Affairs West Los Angeles Medical Center , Los Angeles, CA , USA

8. Department of Physiology, David Geffen School of Medicine, University of California , Los Angeles, CA , USA

9. Jonsson Comprehensive Cancer Center, University of California , Los Angeles, CA , USA

10. Molecular Biology Institute, University of California , Los Angeles, CA , USA

11. California NanoSystems Institute, University of California , Los Angeles, CA , USA

Abstract

Abstract Aims Coronary computed tomography angiography (CTA) and fractional flow reserve by computed tomography (FFR-CT) are increasingly utilized to characterize coronary artery disease (CAD). We evaluated the feasibility of distal-vessel FFR-CT as an integrated measure of epicardial CAD that can be followed serially, assessed the CTA parameters that correlate with distal-vessel FFR-CT, and determined the combination of clinical and CTA parameters that best predict distal-vessel FFR-CT and distal-vessel FFR-CT changes. Methods and results Patients (n = 71) who underwent serial CTA scans at ≥2 years interval (median = 5.2 years) over a 14-year period were included in this retrospective study. Coronary arteries were analysed blindly using artificial intelligence-enabled quantitative coronary CTA. Two investigators jointly determined the anatomic location and corresponding distal-vessel FFR-CT values at CT1 and CT2. A total of 45.3% had no significant change, 27.8% an improvement, and 26.9% a worsening in distal-vessel FFR-CT at CT2. Stepwise multiple logistic regression analysis identified a four-parameter model consisting of stenosis diameter ratio, lumen volume, low density plaque volume, and age, that best predicted distal-vessel FFR-CT ≤ 0.80 with an area under the curve (AUC) = 0.820 at CT1 and AUC = 0.799 at CT2. Improvement of distal-vessel FFR-CT was captured by a decrease in high-risk plaque and increases in lumen volume and remodelling index (AUC = 0.865), whereas increases in stenosis diameter ratio, medium density calcified plaque volume, and total cholesterol presaged worsening of distal-vessel FFR-CT (AUC = 0.707). Conclusion Distal-vessel FFR-CT permits the integrative assessment of epicardial atherosclerotic plaque burden in a vessel-specific manner and can be followed serially to determine changes in global CAD.

Funder

Cardiovascular Discovery Fund

Lauren B. Leichtman and Arthur E. Levine Investigator Award

Cardiovascular Research Foundation of Southern California

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

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