Artificial Intelligence Evaluation of Coronary Stenosis on Ct Coronary Angiography, Comparison With Quantitative Coronary Angiography; A Credence Trial Sub-Study

Earls, James P.; Choi, Andrew; Griffin, William F.; Marques, Hugo; Barkovich, Emil Jernstedt; Riess, Joanna

doi:10.1016/s0735-1097(21)02643-7

Cited by 2 publications

(1 citation statement)

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“…CCTA studies were uploaded to Cleerly Laboratories (Cleerly, Denver, CO), a U.S. Food and Drug Administration-cleared software, validated by high performance against expert readers, ICA, and intravenous ultrasound (study currently ongoing) ( 12 – 14 ). This artificial intelligence (AI)-aided approach performs automated analysis of CCTA using validated convolutional neural network models, including Visual Geometry Group (VGG) 19 network, 3D U-Net, and VGG Network Variant.…”

Section: Methodsmentioning

confidence: 99%

Diabetes, Atherosclerosis, and Stenosis by AI

Jonas

Earls²,

Marques³

et al. 2023

Diabetes Care

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OBJECTIVE This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown. RESEARCH DESIGN AND METHODS We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed. RESULTS Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions. CONCLUSIONS Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.

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Section: Methodsmentioning

confidence: 99%