AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve

F. Griffin, William; D. Choi, Andrew; Riess, Joanna; Marques, Hugo; Chang, Hyuk‐Jae; Hyun Choi, Jung; Doh, Joon‐Hyung; Her, Ae‐Young; Koo, Bon‐Kwon; Nam, Chang‐Wook; Park, Hyung‐Bok; Shin, Sanghoon; Cole, Jason; Gimelli, Alessia; Khan, Akram; Lü, Bin; Gao, Yang; Nabi, Faisal; Nakazato, Ryo; Joseph Schoepf, U.; S. Driessen, Roel; J. Bom, Michiel; C. Thompson, Randall; J. Jang, James; Ridner, Michael; Rowan, Chris; Avelar, Erick; Généreux, Philippe; Knaapen, Paul; A. de Waard, Guus; Pontone, Gianluca; Andreini, Daniele; P. Earls, James

doi:10.1016/j.jcmg.2021.10.020

Public

AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve

Published in JACC. Cardiovascular imaging • Feb 16, 2022

Authors:

William F. Griffin

Andrew D. Choi

Joanna Riess

Abstract

BACKGROUND: Clinical reads of coronary computed tomography angiography (CTA), especially by less experienced readers, may result in overestimation of coronary artery disease stenosis severity compared with expert interpretation. Artificial intelligence (AI)-based solutions applied to coronary CTA ma...

Subject

Medicine

Fractional flow reserve

Stenosis

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