Validation of the British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph reporting
Validation of the British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph reporting
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DOI：
10.1016/j.crad.2020.06.005
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发表时间：
2020-09-01
影响因子：
2.6
通讯作者：
Barnett, J.
中科院分区：
文献类型：
--
作者：
Hare, S. S.;Tavare, A. N.;Barnett, J.
目的：验证英国胸部影像学学会发布的2019冠状病毒病（COVID-19）胸部x线片分类指南，该指南涉及放射科医生的可重复性和诊断性能。材料和方法：由7名放射科顾问医师根据英国胸部影像学学会指南对50名COVID-19患者和50名在新型冠状病毒出现之前出现符合COVID-19症状的对照患者的胸片进行评估。结果：研究结果显示，指南定义的经典/可能的COVID-19具有出色的特异性（100%）和中等敏感性（44%），并且观察者之间具有很大的一致性（Fleiss’k=0.61）。“COVID-19不确定”（k=0.23）和“非COVID-19”（k=0.37）类别的一致性比较好；此外，这些类别对COVID-19的敏感性（分别为0.26和0.14）和特异性（分别为0.76和0.80）差异无统计学意义（McNemar检验p=0.18和p=0.67）。结论：将“COVID-19不确定”和“非COVID-19”分类合并为单一的“非典型COVID-19”分类将提高观察者之间的一致性，包括具有相似COVID-19概率的患者，并消除将COVID-19患者标记为“非COVID-19”的可能性，这是相当少数（14%）患者的影像学表现。(C) 2020年由爱思唯尔有限公司代表皇家放射科医师学院出版。
AIM: To validate the British Society of Thoracic Imaging issued guidelines for the categorisation of chest radiographs for coronavirus disease 2019 (COVID-19) reporting regarding reproducibility amongst radiologists and diagnostic performance.MATERIALS AND METHODS: Chest radiographs from 50 patients with COVID-19, and 50 control patients with symptoms consistent with COVID-19 from prior to the emergence of the novel coronavirus were assessed by seven consultant radiologists with regards to the British Society of Thoracic Imaging guidelines.RESULTS: The findings show excellent specificity (100%) and moderate sensitivity (44%) for guideline-defined Classic/Probable COVID-19, and substantial interobserver agreement (Fleiss' k=0.61). Fair agreement was observed for the "Indeterminate for COVID-19" (k=0.23), and "Non-COVID-19" (k=0.37) categories; furthermore, the sensitivity (0.26 and 0.14 respectively) and specificity (0.76, 0.80) of these categories for COVID-19 were not significantly different (McNemar's test p=0.18 and p=0.67).CONCLUSION: An amalgamation of the categories of "Indeterminate for COVID-19" and "Non-COVID-19" into a single "not classic of COVID-19" classification would improve interobserver agreement, encompass patients with a similar probability of COVID-19, and remove the possibility of labelling patients with COVID-19 as "Non-COVID-19", which is the presenting radiographic appearance in a significant minority (14%) of patients. (C) 2020 Published by Elsevier Ltd on behalf of The Royal College of Radiologists.