• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

相似文献

1
Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.北美放射学会关于报告与 COVID-19 相关的胸部 CT 结果的专家共识声明。得到胸放射学会、美国放射学会和 RSNA 的认可 - 二次出版物。
J Thorac Imaging. 2020 Jul;35(4):219-227. doi: 10.1097/RTI.0000000000000524.
2
Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA.北美放射学会关于报告与COVID-19相关的胸部CT检查结果的专家共识文件:得到了胸腔放射学会、美国放射学会和北美放射学会的认可。
Radiol Cardiothorac Imaging. 2020 Mar 25;2(2):e200152. doi: 10.1148/ryct.2020200152. eCollection 2020 Apr.
3
Canadian Society of Thoracic Radiology/Canadian Association of Radiologists Consensus Statement Regarding Chest Imaging in Suspected and Confirmed COVID-19.加拿大胸放射学会/加拿大放射学家协会关于疑似和确诊 COVID-19 胸部成像的共识声明。
Can Assoc Radiol J. 2020 Nov;71(4):470-481. doi: 10.1177/0846537120924606. Epub 2020 May 8.
4
Radiological Society of North America (RSNA) Expert Consensus Statement Related to Chest CT Findings in COVID-19 Versus CO-RADS: Comparison of Reporting System Performance Among Chest Radiologists and End-User Preference.北美放射学会(RSNA)关于 COVID-19 与 CO-RADS 胸部 CT 表现的专家共识声明:胸部放射科医生和最终用户偏好之间报告系统性能的比较。
Can Assoc Radiol J. 2021 Nov;72(4):806-813. doi: 10.1177/0846537120968919. Epub 2020 Nov 3.
5
Review of Chest Radiograph Findings of COVID-19 Pneumonia and Suggested Reporting Language.COVID-19 肺炎的胸部 X 线表现回顾及建议报告用语。
J Thorac Imaging. 2020 Nov 1;35(6):354-360. doi: 10.1097/RTI.0000000000000541.
6
Detection of Unsuspected Coronavirus Disease 2019 Cases by Computed Tomography and Retrospective Implementation of the Radiological Society of North America/Society of Thoracic Radiology/American College of Radiology Consensus Guidelines.利用计算机断层扫描检测未被怀疑的 2019 年冠状病毒病病例,并回顾性实施北美放射学会/胸放射学会/美国放射学院共识指南。
J Thorac Imaging. 2020 Nov 1;35(6):346-353. doi: 10.1097/RTI.0000000000000542.
7
RSNA and BSTI grading systems of COVID-19 pneumonia: comparison of the diagnostic performance and interobserver agreement.RSNA 和 BSTI 新冠肺炎肺炎分级系统:诊断性能和观察者间一致性比较。
BMC Med Imaging. 2021 Oct 4;21(1):143. doi: 10.1186/s12880-021-00668-3.
8
Thoracic imaging of coronavirus disease 2019 (COVID-19) in children: a series of 91 cases.儿童 2019 冠状病毒病(COVID-19)的胸部影像学表现:系列病例 91 例。
Pediatr Radiol. 2020 Sep;50(10):1354-1368. doi: 10.1007/s00247-020-04747-5. Epub 2020 Aug 4.
9
Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories.基于 RSNA 共识分类标准的 COVID-19 CT 评估中观察者间和观察者内的变异性。
Acad Radiol. 2020 Nov;27(11):1499-1506. doi: 10.1016/j.acra.2020.08.038. Epub 2020 Sep 15.
10
Chest CT and Coronavirus Disease (COVID-19): A Critical Review of the Literature to Date.胸部 CT 与冠状病毒病(COVID-19):对现有文献的批判性综述。
AJR Am J Roentgenol. 2020 Oct;215(4):839-842. doi: 10.2214/AJR.20.23202. Epub 2020 Apr 16.

引用本文的文献

1
Reversed halo sign on chest computed tomography: a retrospective analysis of 286 cases.胸部计算机断层扫描上的反晕征:286例回顾性分析
Radiol Bras. 2025 Jul 17;58:e20250014. doi: 10.1590/0100-3984.2025.0014-en. eCollection 2025 Jan-Dec.
2
Relationship between the computed tomography pattern and vaccination status in individuals with COVID-19.新型冠状病毒肺炎患者计算机断层扫描模式与疫苗接种状况之间的关系
Radiol Bras. 2025 Jul 17;58:e20250004. doi: 10.1590/0100-3984.2025.0004. eCollection 2025 Jan-Dec.
3
Artificial Intelligence-guided Total Opacity Scores and Obstructive Sleep Apnea in Adults with COVID-19 Pneumonia.人工智能指导下的COVID-19肺炎成人患者全肺实变评分与阻塞性睡眠呼吸暂停
Thorac Res Pract. 2025 Apr 30;26(3):107-114. doi: 10.4274/ThoracResPract.2024.24090. Epub 2025 Jan 20.
4
Attributes and factors associated with long covid in patients hospitalized for acute COVID-19: A retrospective cohort study.因急性新冠肺炎住院患者中与长期新冠相关的特征和因素:一项回顾性队列研究。
PLoS One. 2025 Jan 16;20(1):e0317512. doi: 10.1371/journal.pone.0317512. eCollection 2025.
5
A Single-center Experience With >200 Lung Transplant Recipients With COVID-19 Infection.200 多名 COVID-19 感染肺移植受者的单中心经验
Transplant Direct. 2024 Aug 29;10(9):e1676. doi: 10.1097/TXD.0000000000001676. eCollection 2024 Sep.
6
Predictors of 2-year mortality in geriatric patients hospitalized with COVID-19 in Türkiye: a retrospective cohort study.土耳其老年 COVID-19 住院患者 2 年死亡率的预测因素:一项回顾性队列研究。
Biomark Med. 2024;18(10-12):555-565. doi: 10.1080/17520363.2024.2352416. Epub 2024 Aug 14.
7
Association of chest computed tomography severity score at ICU admission and respiratory outcomes in critically ill COVID-19 patients.入住 ICU 时的胸部 CT 严重程度评分与危重症 COVID-19 患者的呼吸结局的相关性。
PLoS One. 2024 May 2;19(5):e0299390. doi: 10.1371/journal.pone.0299390. eCollection 2024.
8
Radiologic Abnormalities in Prolonged SARS-CoV-2 Infection: A Systematic Review.长期严重急性呼吸综合征冠状病毒 2 感染的放射学异常:系统评价。
Korean J Radiol. 2024 May;25(5):473-480. doi: 10.3348/kjr.2023.1149.
9
Emerging Pulmonary Infections in Clinical Practice.临床实践中的新发肺部感染
Adv Clin Radiol. 2021 Sep;3:103-124. doi: 10.1016/j.yacr.2021.04.010. Epub 2021 Jun 2.
10
Time-dependent CT score-based model for identifying severe/critical COVID-19 at a fever clinic after the emergence of Omicron variant.基于时间依赖性CT评分的模型,用于在奥密克戎变异株出现后在发热门诊识别重症/危重症新冠肺炎
Heliyon. 2024 Mar 25;10(7):e27963. doi: 10.1016/j.heliyon.2024.e27963. eCollection 2024 Apr 15.

本文引用的文献

1
Erratum: Chest CT Findings in Cases from the Cruise Ship "Diamond Princess" with Coronavirus Disease 2019 (COVID-19).勘误:“钻石公主”号游轮上2019冠状病毒病(COVID-19)病例的胸部CT表现。
Radiol Cardiothorac Imaging. 2020 Apr 7;2(2):e204002. doi: 10.1148/ryct.2020204002. eCollection 2020 Apr.
2
Coronavirus Disease 2019: Initial Detection on Chest CT in a Retrospective Multicenter Study of 103 Chinese Patients.2019冠状病毒病:103例中国患者回顾性多中心研究中胸部CT的初步检测
Radiol Cardiothorac Imaging. 2020 Apr 6;2(2):e200092. doi: 10.1148/ryct.2020200092. eCollection 2020 Apr.
3
Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach.COVID-19的胸部CT序列定量评估:一种深度学习方法。
Radiol Cardiothorac Imaging. 2020 Mar 30;2(2):e200075. doi: 10.1148/ryct.2020200075. eCollection 2020 Apr.
4
Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review.新型冠状病毒肺炎感染的影像学表现:放射学发现与文献综述
Radiol Cardiothorac Imaging. 2020 Feb 13;2(1):e200034. doi: 10.1148/ryct.2020200034. eCollection 2020 Feb.
5
Chest Imaging Appearance of COVID-19 Infection.新型冠状病毒肺炎感染的胸部影像学表现。
Radiol Cardiothorac Imaging. 2020 Feb 13;2(1):e200028. doi: 10.1148/ryct.2020200028. eCollection 2020 Feb.
6
Laboratory diagnosis of emerging human coronavirus infections - the state of the art.新型人冠状病毒感染的实验室诊断——现状。
Emerg Microbes Infect. 2020 Dec;9(1):747-756. doi: 10.1080/22221751.2020.1745095.
7
Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review.新型冠状病毒病 2019(COVID-19)的胸部 CT 表现:影像学综述。
Eur Radiol. 2020 Aug;30(8):4381-4389. doi: 10.1007/s00330-020-06801-0. Epub 2020 Mar 19.
8
Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study.90 例 COVID-19 肺炎患者 CT 表现的时间变化:一项纵向研究。
Radiology. 2020 Aug;296(2):E55-E64. doi: 10.1148/radiol.2020200843. Epub 2020 Mar 19.
9
Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients.新型冠状病毒病 2019(COVID-19):919 例患者影像学表现的系统评价。
AJR Am J Roentgenol. 2020 Jul;215(1):87-93. doi: 10.2214/AJR.20.23034. Epub 2020 Mar 14.
10
Detection of SARS-CoV-2 in Different Types of Clinical Specimens.SARS-CoV-2 在不同类型临床标本中的检测。
JAMA. 2020 May 12;323(18):1843-1844. doi: 10.1001/jama.2020.3786.

北美放射学会关于报告与 COVID-19 相关的胸部 CT 结果的专家共识声明。得到胸放射学会、美国放射学会和 RSNA 的认可 - 二次出版物。

Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.

机构信息

Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, PA.

University of Texas Southwestern Medical Center, Dallas, TX.

出版信息

J Thorac Imaging. 2020 Jul;35(4):219-227. doi: 10.1097/RTI.0000000000000524.

DOI:10.1097/RTI.0000000000000524
PMID:32324653
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7255403/
Abstract

Routine screening CT for the identification of COVID-19 pneumonia is currently not recommended by most radiology societies. However, the number of CTs performed in persons under investigation (PUI) for COVID-19 has increased. We also anticipate that some patients will have incidentally detected findings that could be attributable to COVID-19 pneumonia, requiring radiologists to decide whether or not to mention COVID-19 specifically as a differential diagnostic possibility. We aim to provide guidance to radiologists in reporting CT findings potentially attributable to COVID-19 pneumonia, including standardized language to reduce reporting variability when addressing the possibility of COVID-19. When typical or indeterminate features of COVID-19 pneumonia are present in endemic areas as an incidental finding, we recommend contacting the referring providers to discuss the likelihood of viral infection. These incidental findings do not necessarily need to be reported as COVID-19 pneumonia. In this setting, using the term "viral pneumonia" can be a reasonable and inclusive alternative. However, if one opts to use the term "COVID-19" in the incidental setting, consider the provided standardized reporting language. In addition, practice patterns may vary, and this document is meant to serve as a guide. Consultation with clinical colleagues at each institution is suggested to establish a consensus reporting approach. The goal of this expert consensus is to help radiologists recognize findings of COVID-19 pneumonia and aid their communication with other healthcare providers, assisting management of patients during this pandemic.

摘要

目前,大多数放射学会不建议将常规筛查 CT 用于识别 COVID-19 肺炎。然而,对 COVID-19 疑似病例(PUI)进行的 CT 检查数量有所增加。我们还预计,一些患者会偶然发现可能归因于 COVID-19 肺炎的发现,这需要放射科医生决定是否具体提及 COVID-19 作为鉴别诊断的可能性。我们旨在为放射科医生报告可能归因于 COVID-19 肺炎的 CT 结果提供指导,包括标准化语言,以减少在提及 COVID-19 可能性时的报告变异性。当 COVID-19 肺炎的典型或不确定特征在流行地区作为偶然发现时,我们建议与转诊医生联系,讨论病毒感染的可能性。这些偶然发现不一定需要报告为 COVID-19 肺炎。在这种情况下,使用“病毒性肺炎”一词可以是合理且包容的替代方法。但是,如果选择在偶然情况下使用“COVID-19”一词,请考虑使用提供的标准化报告语言。此外,实践模式可能会有所不同,本文件旨在作为指南。建议与每个机构的临床同事进行咨询,以建立共识报告方法。本专家共识的目的是帮助放射科医生识别 COVID-19 肺炎的发现,并帮助他们与其他医疗保健提供者进行沟通,协助在大流行期间管理患者。