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Original Article
- Inter-reader agreement for CT/MRI LI-RADS category M imaging features: a systematic review and meta-analysis
- Dong Hwan Kim, Sang Hyun Choi
- J Liver Cancer. 2024;24(2):192-205. Published online April 15, 2024
- DOI: https://doi.org/10.17998/jlc.2024.04.05
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Abstract
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Supplementary Material - Backgrounds/Aims
To systematically evaluate inter-reader agreement in the assessment of individual liver imaging reporting and data system (LI-RADS) category M (LR-M) imaging features in computed tomography/magnetic resonance imaging (CT/MRI) LIRADS v2018, and to explore the causes of poor agreement in LR-M assignment.
Methods
Original studies reporting inter-reader agreement for LR-M features on multiphasic CT or MRI were identified using the MEDLINE, EMBASE, and Cochrane databases. The pooled kappa coefficient (κ) was calculated using the DerSimonian-Laird random-effects model. Heterogeneity was assessed using Cochran’s Q test and I2 statistics. Subgroup meta-regression analyses were conducted to explore the study heterogeneity.
Results
In total, 24 eligible studies with 5,163 hepatic observations were included. The pooled κ values were 0.72 (95% confidence interval [CI], 0.65-0.78) for rim arterial phase hyperenhancement, 0.52 (95% CI, 0.39-0.65) for peripheral washout, 0.60 (95% CI, 0.50-0.70) for delayed central enhancement, 0.68 (95% CI, 0.57-0.78) for targetoid restriction, 0.74 (95% CI, 0.65-0.83) for targetoid transitional phase/hepatobiliary phase appearance, 0.64 (95% CI, 0.49-0.78) for infiltrative appearance, 0.49 (95% CI, 0.30-0.68) for marked diffusion restriction, and 0.61 (95% CI, 0.48-0.73) for necrosis or severe ischemia. Substantial study heterogeneity was observed for all LR-M features (Cochran’s Q test, P<0.01; I2≥89.2%). Studies with a mean observation size of <3 cm, those performed using 1.5-T MRI, and those with multiple image readers, were significantly associated with poor agreement of LR-M features.
Conclusions
The agreement for peripheral washout and marked diffusion restriction was limited. The LI-RADS should focus on improving the agreement of LR-M features. -
Citations
Citations to this article as recorded by
- Inter-reader agreement for LR-M imaging features: a premise for better imaging-based diagnosis in liver imaging
Jaeseung Shin
Journal of Liver Cancer.2024; 24(2): 124. CrossRef
- Inter-reader agreement for LR-M imaging features: a premise for better imaging-based diagnosis in liver imaging
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