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CT 肝脏成像报告和数据系统的读者间可靠性:系统评价和荟萃分析。

Inter-reader reliability of CT Liver Imaging Reporting and Data System according to imaging analysis methodology: a systematic review and meta-analysis.

机构信息

Department of Radiology, Hanyang University College of Medicine, Hanyang University Guri Hospital, Guri-si, Gyeonggi-do, Republic of Korea.

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.

出版信息

Eur Radiol. 2021 Sep;31(9):6856-6867. doi: 10.1007/s00330-021-07815-y. Epub 2021 Mar 13.

DOI:10.1007/s00330-021-07815-y
PMID:33713172
Abstract

OBJECTIVES

To establish inter-reader reliability of CT Liver Imaging Reporting and Data System (LI-RADS) and explore factors that affect it.

METHODS

MEDLINE and EMBASE databases were searched from January 2014 to March 2020 to identify original articles reporting the inter-reader reliability of CT LI-RADS. The imaging analysis methodology of each study was identified, and pooled intraclass correlation coefficient (ICC) or kappa values (κ) were calculated for lesion size, major features (arterial-phase hyperenhancement [APHE], nonperipheral washout [WO], and enhancing capsule [EC]), and LI-RADS categorization (LR) using random-effects models. Subgroup analyses of pooled κ were performed for the number of readers, average reader experience, differences in reader experience, and LI-RADS version.

RESULTS

In the 12 included studies, the pooled ICC or κ of lesion size, APHE, WO, EC, and LR were 0.99 (0.96-1.00), 0.69 (0.58-0.81), 0.67 (0.53-0.82), 0.65 (0.54-0.76), and 0.70 (0.59-0.82), respectively. The experience and number of readers varied: studies using readers with ≥ 10 years of experience showed significantly higher κ for LR (0.82 vs. 0.45, p = 0.01) than those with < 10 years of reader experience. Studies with multiple readers including inexperienced readers showed significantly lower κ for APHE (0.55 vs. 0.76, p = 0.04) and LR (0.45 vs. 0.79, p = 0.02) than those with all experienced readers.

CONCLUSIONS

CT LI-RADS showed substantial inter-reader reliability for major features and LR. Inter-reader reliability differed significantly according to average reader experience and differences in reader experience. Reported results for inter-reader reliability of CT LI-RADS should be understood with consideration of the imaging analysis methodology.

KEY POINTS

• The CT Liver Imaging Reporting and Data System (LI-RADS) provides substantial inter-reader reliability for three major features and category assignment. • The imaging analysis methodology varied across studies. • The inter-reader reliability of CT LI-RADS differed significantly according to the average reader experience and the difference in reader experience.

摘要

目的

建立 CT 肝脏成像报告和数据系统(LI-RADS)的读者间可靠性,并探讨影响其的因素。

方法

从 2014 年 1 月至 2020 年 3 月,检索 MEDLINE 和 EMBASE 数据库,以确定报告 CT LI-RADS 读者间可靠性的原始文章。确定每个研究的影像学分析方法,并使用随机效应模型计算病变大小、主要特征(动脉期增强[APHE]、非外周洗脱[WO]和增强包膜[EC])和 LI-RADS 分类(LR)的汇总组内相关系数(ICC)或kappa 值(κ)。对读者人数、平均读者经验、读者经验差异和 LI-RADS 版本进行了汇总κ值的亚组分析。

结果

在纳入的 12 项研究中,病变大小、APHE、WO、EC 和 LR 的汇总 ICC 或 κ 值分别为 0.99(0.96-1.00)、0.69(0.58-0.81)、0.67(0.53-0.82)、0.65(0.54-0.76)和 0.70(0.59-0.82)。经验和读者人数存在差异:使用≥10 年经验的读者进行的研究显示 LR 的 κ 值明显更高(0.82 比 0.45,p = 0.01),而经验不足 10 年的读者的 κ 值较低。包括经验不足的读者在内的多读者研究显示,APHE(0.55 比 0.76,p = 0.04)和 LR(0.45 比 0.79,p = 0.02)的 κ 值明显低于只有经验丰富的读者的研究。

结论

CT LI-RADS 对主要特征和 LR 具有显著的读者间可靠性。读者间可靠性根据平均读者经验和读者经验差异有显著差异。在考虑影像学分析方法的情况下,应理解 CT LI-RADS 读者间可靠性的报告结果。

要点

  1. CT 肝脏成像报告和数据系统(LI-RADS)对三个主要特征和分类赋值提供了很大的读者间可靠性。

  2. 研究的影像学分析方法各不相同。

  3. CT LI-RADS 的读者间可靠性根据平均读者经验和读者经验差异有显著差异。

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本文引用的文献

1
Discrepancy and error in radiology: concepts, causes and consequences.放射学中的差异与误差:概念、成因及后果。
Ulster Med J. 2012 Jan;81(1):3-9.
重新评估强化包膜在肝细胞癌成像中的诊断价值。
J Liver Cancer. 2024 Sep;24(2):206-216. doi: 10.17998/jlc.2024.05.01. Epub 2024 May 8.
4
Systematic training of LI-RADS CT v2018 improves interobserver agreements and performances in LR categorization for focal liver lesions.对LI-RADS CT v2018进行系统培训可提高肝脏局灶性病变LR分类中观察者间的一致性和表现。
Jpn J Radiol. 2024 May;42(5):476-486. doi: 10.1007/s11604-023-01523-x. Epub 2024 Jan 31.
5
Can absolute arterial phase hyperenhancement improve sensitivity of detection of hepatocellular carcinoma in indeterminate nodules on CT?绝对动脉期强化能否提高 CT 平扫不确定结节中肝细胞癌的检出率?
Eur Radiol. 2024 Apr;34(4):2256-2268. doi: 10.1007/s00330-023-10237-7. Epub 2023 Sep 30.
6
Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study.使用机器学习对肝脏影像进行自动CT LI-RADS v2018评分:一项多厂商、多中心回顾性研究。
JHEP Rep. 2023 Jul 22;5(10):100857. doi: 10.1016/j.jhepr.2023.100857. eCollection 2023 Oct.
7
The role of enhancing capsule and modified capsule appearances in LI-RADS for diagnosing HCC ≤ 3.0 cm on gadoxetate disodium-enhanced MRI.在钆塞酸二钠增强磁共振成像中,强化包膜和改良包膜表现对肝脏影像报告和数据系统(LI-RADS)诊断直径≤3.0 cm肝细胞癌的作用。
Eur Radiol. 2023 Aug;33(8):5801-5811. doi: 10.1007/s00330-023-09487-2. Epub 2023 Mar 10.
8
Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction.利用深度学习重建提高肝细胞癌的检出性能和 CT 肝脏成像报告和数据系统的观察者间一致性。
Abdom Radiol (NY). 2023 Apr;48(4):1280-1289. doi: 10.1007/s00261-023-03834-z. Epub 2023 Feb 9.
9
Trends in Incidence and Prognostic Factors of Two Subtypes of Primary Liver Cancers: A Surveillance, Epidemiology, and End Results-Based Population Study.原发性肝癌两种亚型的发病率和预后因素趋势:一项基于监测、流行病学和最终结果的人群研究。
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