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LI-RADS 版本 2018 肝细胞癌治疗反应算法在肝移植候选者中的评估:CT 和肝胆期增强 MRI 的个体内比较。

Evaluation of LI-RADS Version 2018 Treatment Response Algorithm for Hepatocellular Carcinoma in Liver Transplant Candidates: Intraindividual Comparison between CT and Hepatobiliary Agent-enhanced MRI.

机构信息

From the Departments of Radiology (J.S.B., J.M.L., J.H.Y., H.J.K., S.K.J., I.J.) and Pathology (K.B.L., H.K.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea (J.S.B., J.M.L., J.H.Y., H.J.K., S.K.J., I.J.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (J.M.L.).

出版信息

Radiology. 2021 May;299(2):336-345. doi: 10.1148/radiol.2021203537. Epub 2021 Mar 2.

Abstract

Background The Liver Imaging Reporting and Data System (LI-RADS), version 2018, treatment response algorithm (TRA) is used to assess hepatocellular carcinoma (HCC) after local-regional therapy (LRT). However, its diagnostic performance has not yet been fully compared between CT and hepatobiliary agent (HBA)-enhanced MRI in patients who have undergone liver transplant (LT). Purpose To compare the diagnostic performance of LI-RADS TRA when using CT versus using HBA-enhanced MRI in an intraindividual manner according to pathologic results. Materials and Methods Between January 2011 and September 2019, 165 patients with 237 clinically suspected HCCs underwent LRT followed by LT and were retrospectively included. All patients underwent both CT and HBA-enhanced MRI after LRT and before LT. Three radiologists independently assessed tumor viability with both modalities by using LI-RADS TRA and reached a consensus. Pathologic tumor viability categorized as either completely (100%) or incompletely (<100%) necrotic obtained from the explanted liver served as the reference standard. Sensitivity and specificity of the LI-RADS TRA in the consensus reading were then compared between CT and HBA-enhanced MRI by using the ratio estimator approach. Interobserver agreements were calculated by using Fleiss κ statistics. Results There were 165 patients (mean age, 62 years ± 9 [standard deviation]; 135 men) with a total of 237 lesions, of which 107 were viable tumors (45.1%) at pathologic evaluation. With the LI-RADS TRA, sensitivity and specificity of the viable category for detection of viable HCCs at pathologic evaluation were 42.1% (45 of 107 lesions) and 95.4% (124 of 130 lesions) with CT and 52.3% (56 of 107 lesions) and 93.9% (122 of 130 lesions) with HBA-enhanced MRI, with a significant difference in sensitivity but not specificity ( = .009 and = .42, respectively). Interobserver agreements for the LI-RADS TRA were substantial for both CT and HBA-enhanced MRI (κ, 0.69 for both). Conclusion In patients who underwent local-regional therapy for hepatocellular carcinoma before liver transplant, hepatobiliary agent-enhanced MRI was more sensitive than CT in evaluating tumor viability with the Liver Imaging Reporting and Data System, version 2018, treatment response algorithm. ©RSNA, 2021 See also the editorial by Bashir and Mendiratta-Lala in this issue.

摘要

背景

2018 版肝脏影像报告和数据系统(LI-RADS)的治疗反应算法(TRA)用于评估局部区域治疗(LRT)后肝细胞癌(HCC)的情况。然而,在接受过肝移植(LT)的患者中,其在 CT 和肝胆特异对比剂(HBA)增强 MRI 中的诊断性能尚未完全比较。目的:以病理结果为参考标准,在个体患者层面比较 LI-RADS TRA 应用于 CT 和 HBA 增强 MRI 时的诊断性能。材料与方法:本研究回顾性纳入了 2011 年 1 月至 2019 年 9 月间因临床疑似 HCC 而行 LRT 后接受 LT 的 165 例患者,共 237 个病灶。所有患者均在 LRT 后和 LT 前完成了 CT 和 HBA 增强 MRI 检查。3 名放射科医师分别独立应用 LI-RADS TRA 评估两种模态的肿瘤活性并达成共识。由切除的肝脏标本获得的病理肿瘤活性分类为完全(100%)或不完全(<100%)坏死,作为参考标准。应用比率估计法比较 CT 和 HBA 增强 MRI 共识阅读中 LI-RADS TRA 的敏感度和特异度。应用 Fleiss κ 统计量计算观察者间一致性。结果:共有 165 例患者(平均年龄,62 岁±9[标准差];135 例男性),共 237 个病灶,其中 107 个病灶经病理评估为活性肿瘤(45.1%)。应用 LI-RADS TRA,在病理评估中,对活性 HCC 的检测,LI-RADS TRA 对活性肿瘤的阳性预测值为 42.1%(107 个病灶中的 45 个)和 95.4%(130 个病灶中的 124 个),阴性预测值为 52.3%(107 个病灶中的 56 个)和 93.9%(130 个病灶中的 122 个),但敏感度差异有统计学意义,而特异度无统计学意义( =.009 和 =.42)。CT 和 HBA 增强 MRI 的观察者间一致性均为中等(κ 值,均为 0.69)。结论:在接受 LT 前接受 HCC 局部区域治疗的患者中,与 CT 相比,HBA 增强 MRI 在评估 LI-RADS 2018 版治疗反应算法中的肿瘤活性方面更敏感。

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