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Diagnostic performance of CT/MRI LI-RADS v2018 in non-cirrhotic hepatitis C virus infection
Jennie J Cao1, Andy Shon2, Luke Yoon2
1University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA.
Insights
The Liver Imaging Reporting and Data System (LI-RADS) demonstrates high accuracy in diagnosing hepatocellular carcinoma (HCC) and overall malignancy in patients with non-cirrhotic hepatitis C virus (HCV) infection. This imaging analysis confirms LI-RADS
Area of Science:
- Radiology
- Hepatology
- Oncology
Background:
- Hepatocellular carcinoma (HCC) is a significant complication of chronic hepatitis C virus (HCV) infection.
- Cirrhosis is a known risk factor for HCC, but its absence does not preclude malignancy.
- Accurate imaging characterization is crucial for timely diagnosis and management of liver lesions in HCV patients.
Purpose of the Study:
- To assess the diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS) in patients with non-cirrhotic HCV infection.
- To evaluate the accuracy of LI-RADS for identifying hepatocellular carcinoma (HCC) and overall malignancy in this specific patient cohort.
Main Methods:
- Retrospective analysis of 66 liver CT or MRI observations from 43 adult patients with HCV and no cirrhosis (histopathologically confirmed).
- Three radiologists independently assessed imaging using LI-RADS v2018 criteria, blinded to patient outcomes.
- Calculation of positive predictive value, sensitivity, specificity, and accuracy for LI-RADS categories in diagnosing HCC and malignancy, with inter-reader agreement analysis.
Main Results:
- Of 66 observations, 80% were malignant. LI-RADS LR-5 showed high positive predictive value (98-100%) for HCC.
- For LR-5, sensitivity for HCC ranged from 74-90%, specificity from 94-100%, and accuracy from 80-91%.
- The composite of LR-5, LR-M, or LR-TIV demonstrated high accuracy (89-97%) for overall malignancy, with substantial inter-reader agreement for final LI-RADS categories.
Conclusions:
- CT/MRI LI-RADS v2018 criteria are applicable and perform with near-perfect specificity in non-cirrhotic HCV patients.
- LI-RADS effectively categorizes liver lesions, aiding in the diagnosis of HCC and malignancy in this population.
- The findings support the use of LI-RADS for risk stratification and management decisions in HCV patients without cirrhosis.
Purpose:
To evaluate the diagnostic performance of LI-RADS among patients with non-cirrhotic hepatitis C virus (HCV) infection.
Methods:
This retrospective, IRB-approved, single-center study included 66 observations from 43 adult patients (11 women, 32 men; median age 65 years). All patients received liver protocol CT or MRI from 2010 to 2023, had HCV, and did not have cirrhosis based on histopathology. Three board-certified abdominal radiologists blinded to histopathology and imaging follow-up assessed each observation for major features and final LI-RADS category, and inter-reader agreements with weighted kappa were calculated. The positive predictive value, sensitivity, specificity, and accuracy of in diagnosing HCC and overall malignancy was calculated.
Results:
Of the 66 observations, 53 (80%) were malignant and 13 (20%) were benign. Positive predictive value for HCC was 0-0% for LR-1, 0-0% for LR-2, 0-33% for LR-3, 57-100% for LR-4, 98-100% for LR-5, 25-50% for LR-M, and 83-100% for LR-TIV. Positive predictive value for overall malignancy was 0-0% for LR-1, 0-0% for LR-2, 0-33% for LR-3, 57-100% for LR-4, 98-100% for LR-5, 100-100% for LR-M, and 100-100% for LR-TIV. For LR-5 in identifying HCC, sensitivity ranged from 74 to 90%, specificity from 94 to 100%, and accuracy from 80 to 91%. For the composite of LR-5, LR-M, or LR-TIV in identifying overall malignancy, sensitivity was 87-98%, specificity was 92-100%, and accuracy was 89-97%. The inter-reader agreement for major features varied from moderate to substantial, with substantial agreement for the final category.
Conclusion:
CT/MRI LI-RADS v2018 criteria can be applied to non-cirrhotic HCV patients with near-perfect specificity.
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