Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities.

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jong Eun Lee, Hyo-Jae Lee, Gyeryeong Park, Kum Ju Chae, Kwang Nam Jin, Eva Castañer, Benoit Ghaye, Jane P Ko, Helmut Prosch, Scott Simpson, Anna Rita Larici, Jeffrey P Kanne, Thomas Frauenfelder, Yeon Joo Jeong, Soon Ho Yoon
{"title":"Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities.","authors":"Jong Eun Lee, Hyo-Jae Lee, Gyeryeong Park, Kum Ju Chae, Kwang Nam Jin, Eva Castañer, Benoit Ghaye, Jane P Ko, Helmut Prosch, Scott Simpson, Anna Rita Larici, Jeffrey P Kanne, Thomas Frauenfelder, Yeon Joo Jeong, Soon Ho Yoon","doi":"10.1007/s00330-024-11075-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities (ILA) on CT can be challenging if clinical information is limited. This study aimed to evaluate the diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from ILA.</p><p><strong>Methods: </strong>This multi-reader, multi-case study included 60 age- and sex-matched subjects with chest CT scans. There were 40 cases of ILA (20 fibrotic and 20 non-fibrotic) and 20 cases of post-COVID-19 residual abnormalities. Fifteen radiologists from multiple nations with varying levels of experience independently rated suspicion scores on a 5-point scale to distinguish post-COVID-19 residual abnormalities from fibrotic ILA or non-fibrotic ILA. Interobserver agreement was assessed using the weighted κ value, and the scores of individual readers were compared with the consensus of all readers. Receiver operating characteristic curve analysis was conducted to evaluate the diagnostic performance of suspicion scores for distinguishing post-COVID-19 residual abnormalities from ILA and for differentiating post-COVID-19 residual abnormalities from both fibrotic and non-fibrotic ILA.</p><p><strong>Results: </strong>Radiologists' diagnostic performance for distinguishing post-COVID-19 residual abnormalities from ILA was good (area under the receiver operating characteristic curve (AUC) range, 0.67-0.92; median AUC, 0.85) with moderate agreement (κ = 0.56). The diagnostic performance for distinguishing post-COVID-19 residual abnormalities from non-fibrotic ILA was lower than that from fibrotic ILA (median AUC = 0.89 vs. AUC = 0.80, p = 0.003).</p><p><strong>Conclusion: </strong>Radiologists demonstrated good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA, but careful attention is needed to avoid misdiagnosing them as non-fibrotic ILA.</p><p><strong>Key points: </strong>Question How good are radiologists at differentiating interstitial lung abnormalities (ILA) from changes related to COVID-19 infection? Findings Radiologists had a median AUC of 0.85 in distinguishing post-COVID-19 abnormalities from ILA with moderate agreement (κ = 0.56). Clinical relevance Radiologists showed good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA; nonetheless, caution is needed in distinguishing residual abnormalities from non-fibrotic ILA.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00330-024-11075-x","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities (ILA) on CT can be challenging if clinical information is limited. This study aimed to evaluate the diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from ILA.

Methods: This multi-reader, multi-case study included 60 age- and sex-matched subjects with chest CT scans. There were 40 cases of ILA (20 fibrotic and 20 non-fibrotic) and 20 cases of post-COVID-19 residual abnormalities. Fifteen radiologists from multiple nations with varying levels of experience independently rated suspicion scores on a 5-point scale to distinguish post-COVID-19 residual abnormalities from fibrotic ILA or non-fibrotic ILA. Interobserver agreement was assessed using the weighted κ value, and the scores of individual readers were compared with the consensus of all readers. Receiver operating characteristic curve analysis was conducted to evaluate the diagnostic performance of suspicion scores for distinguishing post-COVID-19 residual abnormalities from ILA and for differentiating post-COVID-19 residual abnormalities from both fibrotic and non-fibrotic ILA.

Results: Radiologists' diagnostic performance for distinguishing post-COVID-19 residual abnormalities from ILA was good (area under the receiver operating characteristic curve (AUC) range, 0.67-0.92; median AUC, 0.85) with moderate agreement (κ = 0.56). The diagnostic performance for distinguishing post-COVID-19 residual abnormalities from non-fibrotic ILA was lower than that from fibrotic ILA (median AUC = 0.89 vs. AUC = 0.80, p = 0.003).

Conclusion: Radiologists demonstrated good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA, but careful attention is needed to avoid misdiagnosing them as non-fibrotic ILA.

Key points: Question How good are radiologists at differentiating interstitial lung abnormalities (ILA) from changes related to COVID-19 infection? Findings Radiologists had a median AUC of 0.85 in distinguishing post-COVID-19 abnormalities from ILA with moderate agreement (κ = 0.56). Clinical relevance Radiologists showed good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA; nonetheless, caution is needed in distinguishing residual abnormalities from non-fibrotic ILA.

放射科医生在区分 COVID-19 后残留异常和肺间质异常方面的诊断能力。
目的:如果临床信息有限,在CT上区分COVID-19后残留异常和肺间质异常(ILA)可能具有挑战性。本研究旨在评估放射科医生在区分 COVID-19 后残留异常与 ILA 方面的诊断能力:这项多阅片机、多病例研究包括 60 名年龄和性别匹配的胸部 CT 扫描对象。其中 ILA 40 例(20 例纤维化,20 例非纤维化),COVID-19 后残留异常 20 例。来自多个国家、具有不同经验水平的 15 位放射科医生以 5 分制独立评定怀疑分数,以区分 COVID-19 后残留异常与纤维化 ILA 或非纤维化 ILA。使用加权κ值评估观察者之间的一致性,并将单个阅读者的评分与所有阅读者的共识进行比较。进行了接收者操作特征曲线分析,以评估怀疑评分在区分COVID-19后残留异常与ILA以及区分COVID-19后残留异常与纤维化和非纤维化ILA方面的诊断性能:放射科医生区分COVID-19后残留异常和ILA的诊断效果良好(接收器操作特征曲线下面积(AUC)范围为0.67-0.92;AUC中值为0.85),一致性中等(κ = 0.56)。COVID-19后残留异常与非纤维化ILA的鉴别诊断性能低于纤维化ILA(中位数AUC = 0.89 vs. AUC = 0.80,p = 0.003):结论:放射医师在区分COVID-19后残留异常和ILA方面表现出良好的诊断能力和中等程度的一致性,但需要注意避免将其误诊为非纤维化ILA:问题 放射科医生区分肺间质异常(ILA)与 COVID-19 感染相关变化的能力如何?研究结果 放射科医生在区分 COVID-19 后异常与 ILA 方面的中位 AUC 为 0.85,一致性为中等(κ = 0.56)。临床意义 放射科医生在区分 COVID-19 后残留异常和 ILA 方面表现出良好的诊断性能和中等程度的一致性;不过,在区分残留异常和非纤维化 ILA 时仍需谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信