Tamura Taro, Kusaka Yukinori, Suganuma Narufumi, Suzuki Kazuhiro, Subhannachart Ponglada, Siriruttanapruk Somkiat, Dumavibhat Narongpon, Zhang Xing, Sishodiya Prahalad K, Thanh Tran Anh, Hering Kurt G, Parker John E, Algranti Eduardo, O'Connor Francisco Santos, Shida Hisao, Akira Masanori
Department of Environmental Health, School of Medicine, University of Fukui, Japan.
Department of Welfare and Health, Fukui City Hall, Japan.
Ind Health. 2018 Oct 3;56(5):382-393. doi: 10.2486/indhealth.2017-0115. Epub 2018 May 26.
Two hundred and thirty-three individuals read chest x-ray images (CXR) in the Asian Intensive Reader of Pneumoconiosis (AIR Pneumo) workshop. Their proficiency in reading CXR for pneumoconiosis was calculated using eight indices (X1-X8), as follows: sensitivity (X1) and specificity (X2) for pneumoconiosis; sensitivity (X3) and specificity (X4) for large opacities; sensitivity (X5) and specificity (X6) for pleural plaques; profusion increment consistency (X7); and consistency for shape differentiation (X8). For these eight indices, one-way analysis of variance (ANOVA) and Scheffe's multiple comparison were conducted on six groups, based on the participants' specialty: radiology, respiratory medicine, industrial medicine, public health, general internal medicine, and miscellaneous physicians. Our analysis revealed that radiologists had a significant difference in the mean scores of X3, X5, and X8, compared with those of all groups, excluding radiologists. In the factor analysis, X1, X3, X5, X7, and X8 constituted Factor 1, and X2, X4, and X6 constituted Factor 2. With regard to the factor scores of the six participant groups, the mean scores of Factor 1 of the radiologists were significantly higher than those of all groups, excluding radiologists. The two factors and the eight indices may be used to appropriately assess specialists' proficiency in reading CXR.
233名人员在亚洲尘肺病强化阅片者(AIR Pneumo)研讨会上阅读了胸部X光片(CXR)。他们阅读CXR诊断尘肺病的熟练程度通过八个指标(X1 - X8)进行计算,具体如下:尘肺病的敏感度(X1)和特异度(X2);大阴影的敏感度(X3)和特异度(X4);胸膜斑的敏感度(X5)和特异度(X6);小阴影密集度增加的一致性(X7);以及形态鉴别一致性(X8)。针对这八个指标,基于参与者的专业(放射科、呼吸内科、职业医学、公共卫生、普通内科和其他医生),对六个组进行了单因素方差分析(ANOVA)和谢费多重比较。我们的分析显示,与除放射科医生外的所有组相比,放射科医生在X3、X5和X8的平均得分上存在显著差异。在因子分析中,X1、X3、X5、X7和X8构成因子1,X2、X4和X6构成因子2。关于六个参与者组的因子得分,放射科医生的因子1平均得分显著高于除放射科医生外的所有组。这两个因子和八个指标可用于适当评估专家阅读CXR的熟练程度。