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LI-RADS CT分类标准对肝细胞癌的诊断效能评价
引用本文:李振辉,张大福,高德培,王关顺,段学昆,杨光军.LI-RADS CT分类标准对肝细胞癌的诊断效能评价[J].放射学实践,2016(4):307-310.
作者姓名:李振辉  张大福  高德培  王关顺  段学昆  杨光军
作者单位:昆明医科大学第三附属医院云南省肿瘤医院放射科, 昆明,650118
基金项目:云南省教育厅基金(2014Y169);云南省科技厅-昆明医科大学应用基础研究联合专项基金(2014FB062,2015FB071)
摘    要:目的:探讨肝脏影像报告和数据管理系统(LI-RADS)CT分级诊断标准对肝细胞癌(HCC)的临床诊断价值。方法:回顾性分析158例肝癌高危患者肝脏病变患者的上腹部CT资料,并根据LI-RADS分类标准对病变进行分析评估,并与临床客观诊断结果进行比较。结果:158例患者的 CT 图像共发现179个肝内病灶,其中 LI-RADS 1~5类病灶共167个:1类和2类48个,临床客观诊断结果均为良性(阴性预测值为100%);3类4个;4类6个,其中2个病灶的术后病理结果为 HCC(阳性预测值为33.3%);5类109个,其中103例为 HCC(阳性预测值为94.5%)。受试者工作特征(ROC)曲线下面积为0.89(P<0.001)。若将LI-RADS 1~2类病灶归为阴性,3~5类病灶归为阳性,LI-RADS对诊断肝癌的总符合率为91.6%(153/167),检出 HCC 的敏感度为100%(105/105),特异度为77.4%(48/62),阳性预测值为88.2%(105/119),阴性预测值为100%(48/48)。若将LI-RADS 3类病灶排除,1~2类病灶归为阴性,4~5类病灶归为阳性,LI-RADS对肝内已检出病灶的诊断符合率为93.9%(153/163),检出 HCC 的敏感度为100%(105/105),特异度为82.8%(48/58),阳性预测值为91.3%(105/115),阴性预测值为100%(48/48)。结论:LI-RADS分类标准对 HCC 的CT诊断具有很好的诊断效果,有利于提高CT诊断报告的准确性。

关 键 词:肝脏影像报告和数据管理系统  肝肿瘤  肝细胞癌  体层摄影术  X线计算机

Application of the LI-RADS CT classification for the diagnosis of hepatocellular carcinoma
Institution:LI Zhen-hui;ZHANG Da-fu;GAO De-pei;Department of Radiology,the Third Affiliated Hospital of Kunming Medical University,Cancer Hospital of Yunnan Province;
Abstract:Objective:To evaluate the application value of liver imaging reporting and data system (LI-RADS)CT classification in the diagnosis of hepatocellular carcinoma (HCC).Methods:158 patients at high risk of HCC who underwent CT examination were enrolled.All the CT images were analyzed and the lesions were categorized into 5 scales according to the LI-RADS.The diagnostic results of MRI LI-RADS were compared with the results of clinical objective diagnosis. Results:179 lesions were detected in all 158 patients,including 167 lesions were diagnosed as LI-RADS category 1~5.Of 167 lesions,48 lesions in category 1 or 2 were benign lesions proved by clinical data (negative predictive value 100%).Of the four lesions in category 3,there was no HCC.Of the six lesions in category 4,there were 2 HCCs (positive predictive value 75%).Of 109 lesions in category 5,there were 103 HCCs (positive predictive value 100%).The area underneath the ROC curve (AUC)was 0.89 with statistic significance (P<0.001).If hepatic lesions in category 1 and 2 were considered as negative and lesions in category 3~5 considered as positive,the accuracy,sensitivity,specificity,positive predictive value (PPV)and negative predictive value (NPV)of the LI-RADS classification for the diagnosis of HCC were 91.6%,100%, 77.4%,88.2% and 100% respectively.If lesions in category 1 and 2 were considered as negative,lesions in category 4~5 were considered as positive and lesions in category 3 were excluded,the accuracy,sensitivity,specificity,PPV and NPV of the LI-RADS classification for diagnosis of HCC were 93.9%,100%,82.8%,91.3% and 100% respectively.Conclusion:LI-RADS CT classification provides strong validity for the diagnosis of HCC,and is very useful to improve the accuracy of CT reports.
Keywords:Liver imaging reporting and data system  Liver neoplasms  Hepatocellular carcinoma  Tomography  X-ray computed
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