Suppr超能文献

更新后的肺部CT筛查报告与数据系统(Lung-RADS 1.1版)对肺癌筛查的影响

Implications of the updated Lung CT Screening Reporting and Data System (Lung-RADS version 1.1) for lung cancer screening.

作者信息

Dyer Spencer C, Bartholmai Brian J, Koo Chi Wan

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

出版信息

J Thorac Dis. 2020 Nov;12(11):6966-6977. doi: 10.21037/jtd-2019-cptn-02.

Abstract

Lung cancer remains the leading cause of cancer death in the United States. Screening with low-dose computed tomography (LDCT) has been proven to aid in early detection of lung cancer and reduce disease specific mortality. In 2014, the American College of Radiology (ACR) released version 1.0 of the Lung CT Screening Reporting and Data System (Lung-RADS) as a quality tool to standardize the reporting of lung cancer screening LDCT. In 2019, 5 years after the implementation of Lung-RADS version 1.0 the ACR released the updated Lung-RADS version 1.1 which incorporates initial experience with lung cancer screening. In this review, we outline the implications of the changes and additions in Lung-RADS version 1.1 and examine relevant literature for many of the updates. We also highlight several challenges and opportunities as Lung-RADS version 1.1 is implemented in lung cancer screening programs.

摘要

肺癌仍然是美国癌症死亡的主要原因。低剂量计算机断层扫描(LDCT)筛查已被证明有助于肺癌的早期检测并降低疾病特异性死亡率。2014年,美国放射学会(ACR)发布了肺癌CT筛查报告和数据系统(Lung-RADS)1.0版,作为标准化肺癌筛查LDCT报告的质量工具。2019年,在Lung-RADS 1.0版实施5年后,ACR发布了更新的Lung-RADS 1.1版,其中纳入了肺癌筛查的初步经验。在本综述中,我们概述了Lung-RADS 1.1版的变化和新增内容的影响,并研究了许多更新的相关文献。我们还强调了在肺癌筛查项目中实施Lung-RADS 1.1版时的几个挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b533/7711402/f8d2f1db5e51/jtd-12-11-6966-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验