Makoyeva Alina, Kim Tae Kyoung, Jang Hyun-Jung, Medellin Alejandra, Wilson Stephanie R
Departments of Radiology (A. Makoyeva, A. Medellin, S.R.W.) and Medicine (S.R.W.), University of Calgary, Foothills Medical Centre, 1403 29th St NW, Calgary, AB, Canada T2N 2T9; and Department of Medical Imaging, University of Toronto, Toronto, Canada (T.K.K., H.J.J.).
Radiol Imaging Cancer. 2020 Mar 27;2(2):e190014. doi: 10.1148/rycan.2020190014. eCollection 2020 Mar.
To validate the contrast agent-enhanced US Liver Imaging Reporting and Data System (CEUS LI-RADS) algorithm for accurate diagnosis of hepatocellular carcinoma (HCC) and categorization of all nodules encountered in patients at risk for HCC.
A single-center retrospective review of 196 nodules in 184 patients at risk for HCC (consisting of 139 HCCs, 18 non-HCC malignancies, and 39 benign nodules) was performed in a three-reader blinded read format, with the use of the CEUS LI-RADS algorithm. Pathologic confirmation was available for 143 nodules (122 HCCs, 18 non-HCC malignancies, and three benign nodules). Nodule sizes ranged between 1.0 and 16.2 cm. Nodules assessed with contrast-enhanced US were assigned various CEUS LI-RADS categories by three blinded readers. CEUS LI-RADS categorization was then compared against histopathologic findings, concurrent CT, and/or MR images or follow-up imaging to assess diagnostic accuracy of CEUS LI-RADS. In addition, the proportion of HCC in all LI-RADS (LR) categories, univariable and multivariable feature analysis, and interrater agreement using Light κ were determined.
The LR-5 category, determined through radiologist categorization of nodules using the CEUS LI-RADS criteria, showed sensitivity, specificity, positive predictive value, and negative predictive value of 86% (119 of 139), 96% (55 of 57), 98% (119 of 121), and 73% (55 of 75), respectively, for the diagnosis of HCC. Two false-positive cases of LR-5 included a cholangiocarcinoma and a combined hepatocellular and cholangiocarcinoma. The remainder of the cholangiocarcinomas in the sample ( = 8) were appropriately categorized as LR-M. Multivariable logistic regression analysis showed that washout of greater than 60 seconds was the contrast-enhanced US feature most predictive of HCC diagnosis, whereas washout of less than 60 seconds was the feature most predictive of nonhepatocellular malignancy. The proportion of HCC nodules categorized in the LR-M and LR-4 categories was 35% and 20%, respectively. Light κ agreement between readers for LI-RADS categorization was 90%.
This study showed excellent specificity for the CEUS LI-RADS LR-5 category, allowing for confident imaging diagnosis of HCC, without necessity for pathologic confirmation. In addition, there was accurate differentiation of HCC from non-HCC malignancies and benign nodules. Only a single cholangiocarcinoma was misdiagnosed as category LR-5, with the remainder of the cholangiocarcinomas in the sample appropriately characterized as category LR-M. Abdomen/GI, Evidence Based Medicine, Liver, Neoplasms-Primary, Ultrasound-Contrast© RSNA, 2020.
验证对比剂增强超声肝脏影像报告和数据系统(CEUS LI-RADS)算法对肝细胞癌(HCC)的准确诊断以及对HCC高危患者中所有结节的分类能力。
采用三阅者盲法阅读形式,对184例HCC高危患者的196个结节(包括139个HCC、18个非HCC恶性肿瘤和39个良性结节)进行单中心回顾性研究,使用CEUS LI-RADS算法。143个结节(122个HCC、18个非HCC恶性肿瘤和3个良性结节)有病理证实。结节大小在1.0至16.2厘米之间。三位盲法阅者根据对比增强超声对结节进行CEUS LI-RADS分类。然后将CEUS LI-RADS分类与组织病理学结果、同期CT和/或MR图像或随访影像进行比较,以评估CEUS LI-RADS的诊断准确性。此外,还确定了所有LI-RADS(LR)分类中HCC的比例、单变量和多变量特征分析以及使用Light κ的阅者间一致性。
通过放射科医生使用CEUS LI-RADS标准对结节进行分类确定的LR-5类别,对HCC诊断的敏感性、特异性、阳性预测值和阴性预测值分别为86%(139个中的119个)、96%(57个中的55个)、98%(121个中的119个)和73%(75个中的55个)。LR-5的两例假阳性病例包括1例胆管癌和1例肝细胞癌合并胆管癌。样本中其余的胆管癌(n = 8)被正确分类为LR-M。多变量逻辑回归分析表明,洗脱时间大于60秒是对比增强超声最能预测HCC诊断的特征,而洗脱时间小于60秒是最能预测非肝细胞恶性肿瘤的特征。分类为LR-M和LR-4类别的HCC结节比例分别为35%和20%。阅者间对LI-RADS分类的Light κ一致性为90%。
本研究显示CEUS LI-RADS LR-5类别具有出色的特异性,无需病理证实即可对HCC进行可靠的影像诊断。此外,HCC与非HCC恶性肿瘤和良性结节之间有准确的鉴别。仅1例胆管癌被误诊为LR-5类别,样本中其余的胆管癌被正确分类为LR-M类别。腹部/胃肠、循证医学、肝脏、原发性肿瘤、超声造影©RSNA,2020年。