目的:研究3D-Slicer软件实性肺结节体积测量对不同观察者在肺部影像报告数据系统(lung CT screening reporting and data system,Lung-RADS)分类一致性中的影响。方法:纳入76例患者中的76个实性结节。由3位放射科医师分别采用手动和3D-S...目的:研究3D-Slicer软件实性肺结节体积测量对不同观察者在肺部影像报告数据系统(lung CT screening reporting and data system,Lung-RADS)分类一致性中的影响。方法:纳入76例患者中的76个实性结节。由3位放射科医师分别采用手动和3D-Slicer软件半自动体积测量方法获得结节的直径与体积,并转化为相应的Lung-RADS评分,其中2分为阴性,3分及以上为阳性。采用同类相关系数(intraclass correlation coefficient,ICC)及Bland-Altman指数来评价观察者间直径与体积测量的一致性,Kappa分析评价观察者间Lung-RADS评分及阳性/阴性组间的一致性。结果:ICC分析结果显示手动直径测量的一致性(0.994~0.996)明显低于半自动体积测量的一致性(0.997~0.998),同时Bland-Altman指数分析结果显示手动直径测量的偏倚高于半自动体积测量。采用半自动体积测量,能够比手动直径测量明显提高观察者间Lung-RADS评分及阳性/阴性之间的一致性(0.963~0.975及0.957~0.977 vs.0.833~0.866及0.863~0.892)。结论:3D-Slicer半自动体积测量能够提高实性肺结节观察者间大小测量的一致性,相应的Lung-RADS分类一致性也随之提高。展开更多
The incidence of hepatocellular carcinoma (HCC) is rising worldwide. Although the best chance for long-term survival is early detection, screening high-risk populations to detect HCC when it is most treatable still ha...The incidence of hepatocellular carcinoma (HCC) is rising worldwide. Although the best chance for long-term survival is early detection, screening high-risk populations to detect HCC when it is most treatable still has only limited success. Once detected within the cirrhotic liver, many observations still defy correct characterization, due in part to a history of nonstandarized nomenclature and reporting patterns. Recently, however, an initiative by the American College of Radiology, Liver Imaging-Reporting and Data System (LI-RADS), has begun to remedy these inadequacies. Here, we review LI-RADS, and focus in particular on the difficult nodule, i.e., a radiological observation that challenges our current diagnostic ability, and review essential technical imaging features that aid in the diagnosis of early HCC.展开更多
文摘目的:研究3D-Slicer软件实性肺结节体积测量对不同观察者在肺部影像报告数据系统(lung CT screening reporting and data system,Lung-RADS)分类一致性中的影响。方法:纳入76例患者中的76个实性结节。由3位放射科医师分别采用手动和3D-Slicer软件半自动体积测量方法获得结节的直径与体积,并转化为相应的Lung-RADS评分,其中2分为阴性,3分及以上为阳性。采用同类相关系数(intraclass correlation coefficient,ICC)及Bland-Altman指数来评价观察者间直径与体积测量的一致性,Kappa分析评价观察者间Lung-RADS评分及阳性/阴性组间的一致性。结果:ICC分析结果显示手动直径测量的一致性(0.994~0.996)明显低于半自动体积测量的一致性(0.997~0.998),同时Bland-Altman指数分析结果显示手动直径测量的偏倚高于半自动体积测量。采用半自动体积测量,能够比手动直径测量明显提高观察者间Lung-RADS评分及阳性/阴性之间的一致性(0.963~0.975及0.957~0.977 vs.0.833~0.866及0.863~0.892)。结论:3D-Slicer半自动体积测量能够提高实性肺结节观察者间大小测量的一致性,相应的Lung-RADS分类一致性也随之提高。
文摘The incidence of hepatocellular carcinoma (HCC) is rising worldwide. Although the best chance for long-term survival is early detection, screening high-risk populations to detect HCC when it is most treatable still has only limited success. Once detected within the cirrhotic liver, many observations still defy correct characterization, due in part to a history of nonstandarized nomenclature and reporting patterns. Recently, however, an initiative by the American College of Radiology, Liver Imaging-Reporting and Data System (LI-RADS), has begun to remedy these inadequacies. Here, we review LI-RADS, and focus in particular on the difficult nodule, i.e., a radiological observation that challenges our current diagnostic ability, and review essential technical imaging features that aid in the diagnosis of early HCC.
