Suppr超能文献

CAD-RADS™ 2.0 - 2022冠状动脉疾病报告与数据系统:心血管计算机断层扫描学会(SCCT)、美国心脏病学会(ACC)、美国放射学会(ACR)及北美心血管影像学会(NASCI)的专家共识文件

CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI).

作者信息

Cury Ricardo C, Leipsic Jonathon, Abbara Suhny, Achenbach Stephan, Berman Daniel, Bittencourt Marcio, Budoff Matthew, Chinnaiyan Kavitha, Choi Andrew D, Ghoshhajra Brian, Jacobs Jill, Koweek Lynne, Lesser John, Maroules Christopher, Rubin Geoffrey D, Rybicki Frank J, Shaw Leslee J, Williams Michelle C, Williamson Eric, White Charles S, Villines Todd C, Blankstein Ron

机构信息

Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami FL, USA.

Department of Radiology, University of British Columbia, Vancouver, BC, Canada.

出版信息

J Cardiovasc Comput Tomogr. 2022 Nov-Dec;16(6):536-557. doi: 10.1016/j.jcct.2022.07.002. Epub 2022 Jul 8.

Abstract

Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in Cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care.

摘要

冠状动脉疾病报告与数据系统(CAD-RADS)旨在规范接受冠状动脉CT血管造影(CCTA)患者的报告系统,并指导患者管理的后续可能步骤。此次更新的2022版CAD-RADS 2.0的目标是,通过考虑心脏CT的新技术发展,包括近期临床试验数据和新的临床指南,改进CCTA的初始报告系统。更新后的CAD-RADS分类将遵循既定的狭窄、斑块负荷和修饰符框架,其中将包括在进行CT血流储备分数(CT-FFR)或心肌CT灌注(CTP)检查时对病变特异性缺血的评估。与原始CAD-RADS版本中使用的方法类似,狭窄严重程度分类的决定因素将是每位患者最严重的冠状动脉管腔狭窄,范围从无任何斑块或狭窄的CAD-RADS 0(零)到表示存在至少一条完全闭塞冠状动脉的CAD-RADS 5。鉴于越来越多的数据支持冠状动脉斑块负荷的预后相关性,本文将提供多种估计和报告总斑块负荷的方法。添加P1至P4描述符用于表示斑块负荷增加的类别。CAD-RADS的主要目标始终应与报告中的影像表现一起解读,仍然是促进与转诊医生沟通检查结果,并为后续患者管理提供建议。此外,CAD-RADS将继续提供一个标准化框架,这可能有益于教育、研究、同行评审、人工智能开发、临床试验设计、人群健康和质量保证,最终目标是改善患者护理。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验