• 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

新冠肺炎疫情期间急诊放射科胸部 CT 影像中放射科住院医师的诊断性能。

Diagnostic Performance of Radiology Residents in Thoracic CT Imaging in Emergency Radiology During The COVID-19 Pandemic.

机构信息

Department of Radiology, Faculty of Medicine, Pamukkale University, Denizli, Turkey.

出版信息

Curr Med Imaging. 2021;17(12):1481-1486. doi: 10.2174/1573405617666210702161433.

DOI:10.2174/1573405617666210702161433
PMID:34225625
Abstract

BACKGROUND

During the COVID-19 pandemic, the workload of all radiologists and radiology residents, as well as other clinical physicians, has increased.

INTRODUCTION

This study aims to determine the diagnostic performance of radiology residents, who effectively contribute to the diagnosis of COVID-19.

METHODS

The thoracic Computed Tomography (CT) images of 135 patients aged 20-83 diagnosed with COVID-19 were evaluated retrospectively by five radiology residents and a radiologist with 10 years of experience. The diagnostic performance of the radiology residents in evaluating COVID-19 was assessed according to their year of residency and the patients' age and gender. Receiver Operating Characteristic (ROC) curve analysis was performed to determine the sensitivity and specificity of radiology residents.

RESULTS

The radiology residents' performance in determining COVID-19 using CT findings was evaluated as follows: sensitivity 97.22%, specificity 88.89%, positive predictive value 90.91%, negative predictive value 96.55%, and accuracy 93.33%. According to the year of residency, the sensitivity and specificity of the radiology residents in determining COVID-19 using CT images were between 92.3% and 100%, and 71.43% and 100%, respectively.

CONCLUSION

The high sensitivity and specificity of radiology residents in evaluating thoracic CT images for COVID-19 diagnosis indicate that radiologists are as important as clinical physicians in the diagnosis of COVID-19.

摘要

背景

在 COVID-19 大流行期间,所有放射科医生和放射科住院医师以及其他临床医生的工作量都增加了。

介绍

本研究旨在确定放射科住院医师的诊断性能,他们有效地为 COVID-19 的诊断做出了贡献。

方法

回顾性评估了 135 名年龄在 20-83 岁之间的 COVID-19 患者的胸部 CT 图像,由五名放射科住院医师和一名具有 10 年经验的放射科医生进行评估。根据住院年限以及患者的年龄和性别,评估放射科住院医师评估 COVID-19 的诊断性能。进行了Receiver Operating Characteristic (ROC) 曲线分析,以确定放射科住院医师的敏感性和特异性。

结果

放射科住院医师使用 CT 发现来确定 COVID-19 的表现评估如下:敏感性 97.22%,特异性 88.89%,阳性预测值 90.91%,阴性预测值 96.55%,准确性 93.33%。根据住院年限,放射科住院医师使用 CT 图像确定 COVID-19 的敏感性和特异性分别在 92.3%至 100%和 71.43%至 100%之间。

结论

放射科住院医师评估 COVID-19 诊断的胸部 CT 图像的高敏感性和特异性表明,在 COVID-19 的诊断中,放射科医生与临床医生一样重要。

相似文献

1
Diagnostic Performance of Radiology Residents in Thoracic CT Imaging in Emergency Radiology During The COVID-19 Pandemic.新冠肺炎疫情期间急诊放射科胸部 CT 影像中放射科住院医师的诊断性能。
Curr Med Imaging. 2021;17(12):1481-1486. doi: 10.2174/1573405617666210702161433.
2
Thoracic imaging tests for the diagnosis of COVID-19.用于诊断新型冠状病毒肺炎的胸部影像学检查
Cochrane Database Syst Rev. 2020 Sep 30;9:CD013639. doi: 10.1002/14651858.CD013639.pub2.
3
Artificial intelligence for assistance of radiology residents in chest CT evaluation for COVID-19 pneumonia: a comparative diagnostic accuracy study.人工智能辅助放射科住院医师对 COVID-19 肺炎进行胸部 CT 评估的诊断准确性比较研究。
Acta Radiol. 2023 Jun;64(6):2104-2110. doi: 10.1177/02841851231162085. Epub 2023 Mar 8.
4
Diagnostic Performance of COVID-19 Reporting and Data System Classification Across Residents and Radiologists: A Retrospective Study.COVID-19 报告和数据系统分类在住院医师和放射科医生中的诊断性能:一项回顾性研究。
J Comput Assist Tomogr. 2021;45(5):782-787. doi: 10.1097/RCT.0000000000001172.
5
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.深度学习算法在解读胸部 X 光片中对 COVID-19 患者分诊的辅助作用:一项多中心回顾性研究。
PLoS One. 2020 Nov 24;15(11):e0242759. doi: 10.1371/journal.pone.0242759. eCollection 2020.
6
Thoracic computerised tomography scans in one hundred eighteen orthopaedic patients during the COVID-19 pandemic: identification of chest lesions; added values; help in managing patients; burden on the computerised tomography scan department.COVID-19 大流行期间 118 例骨科患者的胸部计算机断层扫描:胸部病变的检出;附加价值;帮助管理患者;对计算机断层扫描部门的负担。
Int Orthop. 2020 Aug;44(8):1571-1580. doi: 10.1007/s00264-020-04651-5. Epub 2020 Jun 7.
7
Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience.急诊科胸部 CT 诊断 COVID-19 肺炎:荷兰经验。
Radiology. 2021 Feb;298(2):E98-E106. doi: 10.1148/radiol.2020203465. Epub 2020 Nov 17.
8
Thoracic imaging tests for the diagnosis of COVID-19.用于诊断新型冠状病毒肺炎的胸部影像学检查
Cochrane Database Syst Rev. 2020 Nov 26;11:CD013639. doi: 10.1002/14651858.CD013639.pub3.
9
Initial Results of the Use of a Standardized Diagnostic Criteria for Chest Computed Tomography Findings in Coronavirus Disease 2019.2019年冠状病毒病胸部计算机断层扫描结果标准化诊断标准的初步应用结果
J Comput Assist Tomogr. 2020 Sep/Oct;44(5):647-651. doi: 10.1097/RCT.0000000000001054.
10
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.