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.

PubMed

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.
Abstract