Errata Acesso aberto Revisado por pares

Corrigendum to ‘Relation of Gender to Atherosclerotic Plaque Characteristics by Differing Angiographic Stenosis Severity’ The American Journal of Cardiology, Volume 204, 1 October 2023, Pages 276-283

2023; Elsevier BV; Volume: 207; Linguagem: Inglês

10.1016/j.amjcard.2023.10.010

ISSN

1879-1913

Autores

Rebecca Jonas, Toral Patel, Tami Crabtree, Robert S. Jennings, Ran Heo, Hyung‐Bok Park, Hugo Marques, Hyuk‐Jae Chang, Wijnand J. Stuijfzand, Alexander R. van Rosendael, Jung Hyun Choi, Joon‐Hyung Doh, Ae‐Young Her, Bon‐Kwon Koo, Chang‐Wook Nam, Sanghoon Shin, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Bin Lü, Yang Gao, Faisal Nabi, Mouaz H. Al‐Mallah, Ryo Nakazato, U. Joseph Schoepf, Roel S. Driessen, Michiel J. Bom, Randall C. Thompson, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, Jeroen J. Bax, Andrew D. Choi, James P. Earls, Udo Hoffmann, James K. Min, Todd C. Villines,

Tópico(s)

Cardiac Imaging and Diagnostics

Resumo

The authors regret that the original version was published with the wrong ac affiliation. The affiliation has now been corrected. The authors regret any inconvenience caused. Relation of Gender to Atherosclerotic Plaque Characteristics by Differing Angiographic Stenosis SeverityAmerican Journal of CardiologyVol. 204PreviewIt is unknown whether gender influences the atherosclerotic plaque characteristics (APCs) of lesions of varying angiographic stenosis severity. This study evaluated the imaging data of 303 symptomatic patients from the derivation arm of the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia) trial, all of whom underwent coronary computed tomographic angiography and clinically indicated nonemergent invasive coronary angiography upon study enrollment. Index tests were interpreted by 2 blinded core laboratories, one of which performed quantitative coronary computed tomographic angiography using an artificial intelligence application to characterize and quantify APCs, including percent atheroma volume (PAV), low-density noncalcified plaque (LD-NCP), noncalcified plaque (NCP), calcified plaque (CP), lesion length, positive arterial remodeling, and high-risk plaque (a combination of LD-NCP and positive remodeling ≥1.10); the other classified lesions as obstructive (≥50% diameter stenosis) or nonobstructive (<50% diameter stenosis) based on quantitative invasive coronary angiography. Full-Text PDF Open Access

Referência(s)