Hwang Shin Hye, Hong Seung Baek, Han Kyunghwa, Seo Nieun, Choi Jin-Young, Lee Jei Hee, Park Sumi, Lim Young-Suk, Kim Do Young, Kim So Yeon, Park Mi-Suk
Department of Radiology, Yongin Severance Hospital, Yongin, Gyeonggi-do, South Korea.
Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, and Pusan National University School of Medicine, Pusan, South Korea.
J Magn Reson Imaging. 2022 Jun;55(6):1877-1886. doi: 10.1002/jmri.27962. Epub 2021 Oct 20.
Current major guidelines for diagnosis of hepatocellular carcinoma (HCC) based on imaging findings are different from each other and do not include clinical risk factors as a diagnostic criteria.
To developed and validated a new diagnostic score system using MRI and clinical features as applied in chronic hepatitis B patients.
Retrospective observational study.
A total of 418 treatment-naïve patients (out of 902 patients) with chronic hepatitis B having 556 lesions suspected for HCC which were eligible for curative treatment.
FIELD STRENGTH/SEQUENCE: T1W GRE in- and opposed-phase, T2W FSE, DWI, and T1W 3D-GRE dynamic contrast-enhanced sequences at 1.5 T and 3 T.
Six radiologists with 7-22 years of experience independently evaluated MR images based on Liver Imaging Reporting and Data System (LI-RADS) version 2018.
Based on logistic regression analysis of MRI features and clinical factors, a risk score system was devised in derivation cohorts (268 patients, 352 lesions) and externally validated (150 patients, 204 lesions). The performance of the new score system was assessed by Harell's c-index. Using cutoff value of 12, maintaining positive predictive value ≥95%, the diagnostic performances of the score system were compared with those of LR-5.
The 15-point diagnostic scoring system used MRI features (lesion size, nonrim arterial phase hyperenhancement, portal venous phase hypointensity, hepatobiliary phase hypointensity, and diffusion restriction) and clinical factors (alpha-fetoprotein and platelet). It showed good discrimination in the derivation (c-index, 0.946) and validation cohorts (c-index, 0.907). Using a risk score of 12 as a cut-off, this system yielded higher sensitivity than LR-5 (derivation cohort, 76.8% vs. 52.1%; validation cohort, 73.4% vs. 49.5%) without significant decrease in specificity (derivation cohort, 93.1% vs. 97.2%, P = 0.074; validation cohort, 91.7% vs. 96.1%, P = 0.299).
A new score system showed improved sensitivity in chronic hepatitis B patients compared to LI-RADS without significant compromise in specificity. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.
目前基于影像学表现诊断肝细胞癌(HCC)的主要指南各不相同,且未将临床危险因素纳入诊断标准。
开发并验证一种新的诊断评分系统,该系统使用MRI和临床特征,应用于慢性乙型肝炎患者。
回顾性观察研究。
在902例慢性乙型肝炎患者中,共有418例初治患者,其556个病灶疑似为HCC,符合根治性治疗条件。
场强/序列:1.5 T和3 T时的T1W GRE同反相位、T2W FSE、DWI以及T1W 3D - GRE动态对比增强序列。
6名经验在7至22年的放射科医生根据2018版肝脏影像报告和数据系统(LI - RADS)独立评估MR图像。
基于MRI特征和临床因素的逻辑回归分析,在推导队列(268例患者,352个病灶)中设计了一个风险评分系统,并进行外部验证(150例患者,204个病灶)。通过Harell's c指数评估新评分系统的性能。使用截断值12,保持阳性预测值≥95%,将该评分系统的诊断性能与LR - 5的进行比较。
15分的诊断评分系统使用了MRI特征(病灶大小、非边缘动脉期高增强、门静脉期低强化、肝胆期低强化以及扩散受限)和临床因素(甲胎蛋白和血小板)。它在推导队列(c指数,0.946)和验证队列(c指数,0.907)中显示出良好的区分度。以12分为截断值,该系统的敏感性高于LR - 5(推导队列,76.8%对52.1%;验证队列,73.4%对49.5%),而特异性无显著降低(推导队列,93.1%对97.2%,P = 0.074;验证队列,91.7%对96.1%,P = 0.299)。
与LI - RADS相比,一种新的评分系统在慢性乙型肝炎患者中显示出更高的敏感性,且特异性无显著降低。证据水平:3 技术效能:2级。