• 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

冠状病毒(COVID-19)疫情爆发:放射科应了解的事项。

Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know.

机构信息

Keck School of Medicine, University of Southern California, Los Angeles, California.

Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.

出版信息

J Am Coll Radiol. 2020 Apr;17(4):447-451. doi: 10.1016/j.jacr.2020.02.008. Epub 2020 Feb 19.

DOI:10.1016/j.jacr.2020.02.008
PMID:32092296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7102595/
Abstract

In December 2019, a novel coronavirus (COVID-19) pneumonia emerged in Wuhan, China. Since then, this highly contagious COVID-19 has been spreading worldwide, with a rapid rise in the number of deaths. Novel COVID-19-infected pneumonia (NCIP) is characterized by fever, fatigue, dry cough, and dyspnea. A variety of chest imaging features have been reported, similar to those found in other types of coronavirus syndromes. The purpose of the present review is to briefly discuss the known epidemiology and the imaging findings of coronavirus syndromes, with a focus on the reported imaging findings of NCIP. Moreover, the authors review precautions and safety measures for radiology department personnel to manage patients with known or suspected NCIP. Implementation of a robust plan in the radiology department is required to prevent further transmission of the virus to patients and department staff members.

摘要

2019 年 12 月,中国武汉出现了一种新型冠状病毒(COVID-19)肺炎。自那时以来,这种高度传染性的 COVID-19 已在全球范围内传播,死亡人数迅速上升。新型 COVID-19 感染性肺炎(NCIP)的特征是发热、乏力、干咳和呼吸困难。已经报道了多种胸部影像学特征,与其他类型的冠状病毒综合征相似。本综述的目的是简要讨论已知的冠状病毒综合征的流行病学和影像学发现,重点是报道的 NCIP 的影像学发现。此外,作者还回顾了放射科人员管理已知或疑似 NCIP 患者的预防措施和安全措施。放射科需要实施一项强有力的计划,以防止病毒进一步传播给患者和科室工作人员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/cc1f51dd4f10/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/32432bdfad9b/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/c1e3e7ee6039/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/abaf96841ec6/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/cc1f51dd4f10/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/32432bdfad9b/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/c1e3e7ee6039/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/abaf96841ec6/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ace/7102595/cc1f51dd4f10/gr3_lrg.jpg

相似文献

1
Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know.冠状病毒(COVID-19)疫情爆发:放射科应了解的事项。
J Am Coll Radiol. 2020 Apr;17(4):447-451. doi: 10.1016/j.jacr.2020.02.008. Epub 2020 Feb 19.
2
Radiology Department Preparedness for COVID-19: Scientific Expert Review Panel.放射科针对2019冠状病毒病的准备工作:科学专家评审小组
Radiology. 2020 Aug;296(2):E106-E112. doi: 10.1148/radiol.2020200988. Epub 2020 Mar 16.
3
Touch Me Not: Safe Distancing in Radiology During Coronavirus Disease 2019 (COVID-19).请勿触碰:2019冠状病毒病(COVID-19)期间放射科的安全距离
J Am Coll Radiol. 2020 Jun;17(6):739-742. doi: 10.1016/j.jacr.2020.04.019. Epub 2020 Apr 22.
4
COVID-19 pneumonia: infection control protocol inside computed tomography suites.新型冠状病毒肺炎:计算机断层扫描室的感染控制方案
Jpn J Radiol. 2020 May;38(5):391-393. doi: 10.1007/s11604-020-00948-y. Epub 2020 Mar 17.
5
A potential hidden reservoir: The role of nail hygiene in preventing transmission of COVID-19.一个潜在的隐匿传染源:指甲卫生在预防新冠病毒传播中的作用
J Am Acad Dermatol. 2020 Sep;83(3):e245-e246. doi: 10.1016/j.jaad.2020.05.119. Epub 2020 Jun 1.
6
Management and Reconfiguration of a Radiology Department under the Threat of Coronavirus Disease 2019: Experience from Wuhan.《2019 冠状病毒病威胁下的放射科管理和重组:来自武汉的经验》。
Curr Med Sci. 2020 Aug;40(4):608-613. doi: 10.1007/s11596-020-2223-z. Epub 2020 Aug 29.
7
Contributions and Challenges of Radiology in the Era of COVID-19 Pandemic.放射学在新冠疫情时代的贡献与挑战
J Coll Physicians Surg Pak. 2020 Jun;30(6):84-85. doi: 10.29271/jcpsp.2020.Supp1.S84.
8
Infection Control against COVID-19 in Departments of Radiology.放射科应对 COVID-19 的感染控制。
Acad Radiol. 2020 May;27(5):614-617. doi: 10.1016/j.acra.2020.03.025. Epub 2020 Apr 8.
9
Operational Strategies to Prevent Coronavirus Disease 2019 (COVID-19) Spread in Radiology: Experience From a Singapore Radiology Department After Severe Acute Respiratory Syndrome.放射科预防 2019 年冠状病毒病(COVID-19)传播的策略:严重急性呼吸综合征后新加坡放射科的经验
J Am Coll Radiol. 2020 Jun;17(6):717-723. doi: 10.1016/j.jacr.2020.03.027. Epub 2020 Apr 3.
10
The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department.抗击 2019 年冠状病毒病(COVID-19):放射科的应急管理和感染控制。
J Am Coll Radiol. 2020 Jun;17(6):710-716. doi: 10.1016/j.jacr.2020.03.011. Epub 2020 Mar 24.

引用本文的文献

1
Prognostic nomogram on admission predicting progression for patients with nonsevere COVID-19.入院时预测非重症COVID-19患者病情进展的预后列线图。
Fundam Res. 2021 Mar;1(2):111-116. doi: 10.1016/j.fmre.2021.01.012. Epub 2021 Jan 26.
2
A deep learning based detection algorithm for anomalous behavior and anomalous item on buses.一种基于深度学习的公交车异常行为和异常物品检测算法。
Sci Rep. 2025 Jan 16;15(1):2163. doi: 10.1038/s41598-025-85962-8.
3
Chest X-ray findings of COVID-19 pneumonia in children: Experiences in a multicenter study in Thailand.

本文引用的文献

1
The discrepant epidemiology of Middle East respiratory syndrome coronavirus (MERS-CoV).中东呼吸综合征冠状病毒(MERS-CoV)的流行病学差异
Environ Syst Decis. 2014;34(3):383-390. doi: 10.1007/s10669-014-9506-5. Epub 2014 Jul 25.
2
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.中国武汉 99 例 2019 年新型冠状病毒肺炎患者的流行病学和临床特征:描述性研究。
Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
3
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany.
儿童 COVID-19 肺炎的胸部 X 线表现:泰国多中心研究的经验。
PLoS One. 2024 Sep 30;19(9):e0309110. doi: 10.1371/journal.pone.0309110. eCollection 2024.
4
Comparison of radiologic findings between SARS-CoV-2 and other respiratory tract viruses in critically ill children during the COVID-19 pandemic.SARS-CoV-2 与其他呼吸道病毒在 COVID-19 大流行期间危重症患儿的影像学表现比较。
Turk J Med Sci. 2024 Mar 11;54(3):517-528. doi: 10.55730/1300-0144.5818. eCollection 2024.
5
Use of Conventional Chest Imaging and Artificial Intelligence in COVID-19 Infection. A Review of the Literature.传统胸部影像学与人工智能在新型冠状病毒肺炎感染中的应用。文献综述
Open Respir Arch. 2021 Jan 8;3(1):100078. doi: 10.1016/j.opresp.2020.100078. eCollection 2021 Jan-Mar.
6
Clinical decision support systems (CDSS) in assistance to COVID-19 diagnosis: A scoping review on types and evaluation methods.辅助新冠病毒疾病诊断的临床决策支持系统:类型与评估方法的范围综述
Health Sci Rep. 2024 Feb 20;7(2):e1919. doi: 10.1002/hsr2.1919. eCollection 2024 Feb.
7
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients.COVID-19患者便携式胸部X光图像中半膈肌的多任务定位与肺部分割
Digit Health. 2024 Feb 1;10:20552076231225853. doi: 10.1177/20552076231225853. eCollection 2024 Jan-Dec.
8
COVID-19 Detection and Diagnosis Model on CT Scans Based on AI Techniques.基于人工智能技术的CT扫描新冠病毒检测与诊断模型
Bioengineering (Basel). 2024 Jan 14;11(1):79. doi: 10.3390/bioengineering11010079.
9
HQDCNet: Hybrid Quantum Dilated Convolution Neural Network for detecting covid-19 in the context of Big Data Analytics.HQDCNet:用于在大数据分析背景下检测新冠病毒的混合量子扩张卷积神经网络。
Multimed Tools Appl. 2023 May 12:1-27. doi: 10.1007/s11042-023-15515-6.
10
Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China.中国大陆2022年1月至6月城市韧性评估中的夜间灯光视角及新冠疫情的时空影响
Urban Clim. 2023 Jun 21:101591. doi: 10.1016/j.uclim.2023.101591.
德国一名无症状接触者传播2019新型冠状病毒感染
N Engl J Med. 2020 Mar 5;382(10):970-971. doi: 10.1056/NEJMc2001468. Epub 2020 Jan 30.
4
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.新型冠状病毒感染肺炎在中国武汉的早期传播动力学。
N Engl J Med. 2020 Mar 26;382(13):1199-1207. doi: 10.1056/NEJMoa2001316. Epub 2020 Jan 29.
5
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.中国武汉地区 2019 年新型冠状病毒感染患者的临床特征。
Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
6
A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.一个涉及 2019 年新型冠状病毒的家庭聚集性肺炎病例,提示存在人际传播:一项家庭聚集性研究。
Lancet. 2020 Feb 15;395(10223):514-523. doi: 10.1016/S0140-6736(20)30154-9. Epub 2020 Jan 24.
7
A novel coronavirus outbreak of global health concern.一场引发全球卫生关注的新型冠状病毒疫情。
Lancet. 2020 Feb 15;395(10223):470-473. doi: 10.1016/S0140-6736(20)30185-9. Epub 2020 Jan 24.
8
A Novel Coronavirus from Patients with Pneumonia in China, 2019.2019 年中国肺炎患者中的一种新型冠状病毒。
N Engl J Med. 2020 Feb 20;382(8):727-733. doi: 10.1056/NEJMoa2001017. Epub 2020 Jan 24.
9
Current epidemiological status of Middle East respiratory syndrome coronavirus in the world from 1.1.2017 to 17.1.2018: a cross-sectional study.2017 年 1 月 1 日至 2018 年 1 月 17 日期间全球中东呼吸综合征冠状病毒的当前流行病学状况:一项横断面研究。
BMC Infect Dis. 2019 Apr 27;19(1):351. doi: 10.1186/s12879-019-3987-2.
10
Middle East Respiratory Syndrome Coronavirus: What Does a Radiologist Need to Know?中东呼吸综合征冠状病毒:放射科医生需要了解什么?
AJR Am J Roentgenol. 2016 Jun;206(6):1193-201. doi: 10.2214/AJR.15.15363. Epub 2016 Mar 21.