O'Reilly Peter, Awwad Dania Abu, Lewis Sarah, Reed Warren, Ekpo Ernest
Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown NSW 2050, Australia.
Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown NSW 2050, Australia.
J Med Imaging Radiat Sci. 2025 May 1;56(5):101911. doi: 10.1016/j.jmir.2025.101911.
The Royal Australian and New Zealand College of Radiologists (RANZCR) has developed a reporting template to assist in the categorization of COVID-19 in chest X-ray (CXR) images and the levels of COVID-19 infection. Whilst CXRs are reported by radiologists, radiographers are often the first to assess the CXRs, and have the potential to support immediate triaging of patients with COVID-19. However, inter-reader concordance in the use of this reporting template remains underexplored.
70 CXR examinations comprising of the four categories in the RANZCR chest X-ray (CXR) COVID-19 reporting template were used for the study. These included: 'typical' (for COVID-19) (n = 30); 'indeterminate' (for COVID-19) (n = 20); 'other diagnoses favoured' (n = 10) and 'normal' (n = 10). These images were independently categorised using the RANZCR reporting template by three cohorts of readers: 12 radiologists, 13 registered radiographers, and 12 final-year radiography students. A Weighted Kappa (κ) was used to evaluate inter-reader agreement within and between the cohort of readers.
Radiologists demonstrated fair (κ = 0.32) to substantial (κ = 0.77) inter-reader agreement, and their overall inter-reader was moderate (κ = 0.56). Registered radiographers demonstrated no (κ = -0.01) to moderate agreement (κ = 0.59), and their overall agreement was fair (κ = 0.31). Fourth year student radiographers demonstrated slight (κ = 0.004) to substantial (κ 0.8) agreement, with a moderate (κ = 0.47) overall agreement among final year student radiographers.
There are wide variations in the classification of the CXRs using the RANZCR reporting template. Overall, radiologists exhibit superior concordance in CXR categorization using the COVID-19 reporting template. Radiographers demonstrate wide variability, highlighting the need for enhanced education and training to standardise the triaging of these patients undergoing CXR imaging for COVID-19 symptoms.
澳大利亚和新西兰皇家放射科医师学会(RANZCR)制定了一份报告模板,以协助对胸部X光(CXR)图像中的新冠肺炎进行分类,并确定新冠肺炎感染的程度。虽然胸部X光片由放射科医师报告,但放射技师通常是最先评估胸部X光片的人,并且有可能支持对新冠肺炎患者进行即时分诊。然而,该报告模板使用中的阅片者间一致性仍未得到充分研究。
本研究使用了70份胸部X光检查,这些检查涵盖了RANZCR胸部X光(CXR)新冠肺炎报告模板中的四个类别。其中包括:“典型”(新冠肺炎)(n = 30);“不确定”(新冠肺炎)(n = 20);“倾向于其他诊断”(n = 10)和“正常”(n = 10)。三组阅片者分别使用RANZCR报告模板对这些图像进行独立分类:12名放射科医师、13名注册放射技师和12名放射学专业最后一年的学生。使用加权卡帕系数(κ)来评估阅片者组内和组间的阅片者间一致性。
放射科医师的阅片者间一致性表现为一般(κ = 0.32)到高度一致(κ = 0.77),他们的总体阅片者间一致性为中等(κ = 0.56)。注册放射技师的一致性表现为无(κ = -0.01)到中等一致(κ = 0.59),他们的总体一致性为一般(κ = 0.31)。放射学专业四年级学生的一致性表现为轻微(κ = 0.004)到高度一致(κ = (此处原文有误,推测为0.8)),放射学专业最后一年学生的总体一致性为中等(κ = 0.47)。
使用RANZCR报告模板对胸部X光片进行分类存在很大差异。总体而言,放射科医师在使用新冠肺炎报告模板对胸部X光片进行分类时表现出更高的一致性。放射技师的表现差异很大,这凸显了加强教育和培训以规范对这些因新冠肺炎症状接受胸部X光成像的患者进行分诊的必要性。