Inter-Reader Agreement for CT and MRI LI-RADS Version 2018: An Individual Participant Data Meta-Analysis.

Publication/Presentation Date

8-7-2026

Abstract

BACKGROUND: The Liver Imaging Reporting and Data System (LI-RADS) is a classification system to diagnose hepatocellular carcinoma (HCC) noninvasively. The reported LI-RADS inter-reader variability in single-center studies highlights the need to better understand the variability on a broader scale.

PURPOSE: Evaluate inter-reader agreement for LI-RADS CT/MRI v2018 categorization and imaging features using individual participant data (IPD) meta-analysis for MRI and CT separately.

STUDY TYPE: Retrospective meta-analysis.

POPULATION: 805 patients (542 male, mean age 60.8 ± 11.6 [SD] years) at risk of HCC.

FIELD STRENGTH/SEQUENCE: 1.5 and 3 T, Sequences varied across institutions but followed standard LI-RADS protocols.

ASSESSMENT: Studies from the LI-RADS Living IPD Meta-Analysis Project were used.

INCLUSION CRITERIA: observations evaluated by > 1 reader using LI-RADS CT/MRI v2018. Risk of bias was assessed for the index test domain using QUADAS-2; sensitivity analysis was conducted excluding high-risk observations. The developed protocol is available on the Open Science Framework (https://osf.io/tdv7j/files/6kh7s).

STATISTICAL TESTS: A two-step meta-analytic approach was used to determine pooled kappa (κ) with heterogeneity assessed using τ

RESULTS: Five studies (three CT and MRI, two MRI) comprising 975 observations were included. Four studies had two readers, and one had three, most readers were specialized abdominal radiologists (3-33 years' experience). Inter-reader agreement (κ) for major features was 0.21-0.74 on MRI and 0.11-0.75 on CT. For Ancillary features, κ was -0.02 to 0.68 for MRI and -0.02 to 0.58 on CT, and LR-M agreement was -0.07 to 0.58 on MRI and -0.07 to 0.66 on CT. LI-RADS categorization showed agreement of κ = 0.76 for MRI and κ = 0.50 for CT.

DATA CONCLUSION: MRI consistently reported higher agreement than CT for shared features, but overall inter-reader agreement was variable.

EVIDENCE LEVEL: 3.

TECHNICAL EFFICACY: Stage 2: diagnostic accuracy, considered by most as clinical efficacy.

ISSN

1522-2586

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

42563623

Department(s)

Administration and Leadership

Document Type

Article

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