Department of Radiology, Royal Free NHS Foundation Trust, London, UK.
Department of Radiology, Royal Free NHS Foundation Trust, London, UK.
Clin Radiol. 2020 Sep;75(9):710.e9-710.e14. doi: 10.1016/j.crad.2020.06.005. Epub 2020 Jun 17.
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.
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.
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).
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.
验证英国胸科影像学会发布的关于 2019 年冠状病毒病(COVID-19)报告中胸部 X 线分类的指南,以评估其在放射科医生中的可重复性和诊断性能。
对 50 例 COVID-19 患者和 50 例具有与 COVID-19 一致症状的对照患者的胸部 X 线片,由 7 名顾问放射科医生根据英国胸科影像学会指南进行评估。
根据指南定义的经典/可能 COVID-19,该研究发现具有出色的特异性(100%)和中度敏感性(44%),并且观察者间一致性较强(Fleiss' k=0.61)。对于“COVID-19 不确定”(k=0.23)和“非 COVID-19”(k=0.37)类别,观察到适度的一致性;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、0.80)无显著差异(McNemar 检验,p=0.18 和 p=0.67)。
将“COVID-19 不确定”和“非 COVID-19”类别合并为一个“非经典 COVID-19”分类,将提高观察者间的一致性,涵盖具有相似 COVID-19 可能性的患者,并消除将 COVID-19 患者标记为“非 COVID-19”的可能性,因为这是少数(14%)患者的现有放射学表现。