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Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant
Robert G Adamo1, Eric Lam2, Jean-Paul Salameh1
1Faculty of Medicine at The University of Ottawa, Ottawa, ON, Canada.
Insights
The Liver Imaging Reporting and Data System (LI-RADS) major features are consistently associated with hepatocellular carcinoma (HCC) risk across various patient factors. This suggests LI-RADS can be applied universally to at-risk populations without modification.
Area of Science:
- Radiology and Medical Imaging
- Hepatology
- Oncology
Background:
- Guidelines suggest Liver Imaging Reporting and Data System (LI-RADS) applicability may vary in certain hepatocellular carcinoma (HCC) risk populations.
- Limited data exist on the association between HCC risk factors and LI-RADS major features.
- This study addresses the gap by evaluating these associations.
Purpose of the Study:
- To determine if the association between HCC risk factors and CT/MRI LI-RADS major features differs among individuals at risk for HCC.
- To provide evidence for the universal application of LI-RADS in at-risk populations.
Main Methods:
- A systematic search of multiple databases (MEDLINE, Embase, Cochrane, Scopus) from 2014-2022.
- Individual participant data (IPD) meta-regression analysis of 23 studies (2958 patients).
- Assessment of interactions between LI-RADS major features and HCC risk factors (age, sex, cirrhosis, HBV).
Main Results:
- The association between LI-RADS major features and HCC was consistent across various HCC risk factors.
- P-values ranged from 0.09 to 0.99, indicating no significant differences.
- Sensitivity analysis of low-bias studies confirmed primary findings.
Conclusions:
- CT/MRI LI-RADS major features' association with HCC risk factors does not significantly differ in at-risk individuals.
- CT/MR LI-RADS should be applied to all patients deemed at risk by the system, without modification.
- Findings support the standardized use of LI-RADS for HCC risk assessment.
Abstract:
Background: Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. Purpose: To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC. Methods: Databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched from 2014 to 2022. Individual participant data (IPD) were extracted from studies evaluating HCC diagnosis using CT/MRI LI-RADS and reporting HCC risk factors. IPD from studies were pooled and modelled with one-stage meta-regressions. Interactions were assessed between major features and HCC risk factors, including age, sex, cirrhosis, chronic hepatitis B virus (HBV), and study location. A mixed effects model that included the major features, as well as separate models that included interactions between each risk factor and each major feature, were fit. Differences in interactions across levels of each risk factor were calculated using adjusted odds-ratios (ORs), 95% confidence-intervals (CI), and z-tests. Risk of bias was assessed using QUADAS-2. (Protocol: https://osf.io/tdv7j/). Results: Across 23 studies (2958 patients and 3553 observations), the associations between LI-RADS major features and HCC were consistent across several HCC risk factors (P-value range: .09-.99). A sensitivity analysis among the 4 studies with a low risk of bias did not differ from the primary analysis. Conclusion: The association between CT/MRI LI-RADS major features and HCC risk factors do not significantly differ in individuals at-risk for HCC. These findings suggest that CT/MR LI-RADS should be applied to all patients considered at risk by LI-RADS without modification or exclusions, regardless of the presence or absence of the risk factors evaluated in this study.
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