Meeting Banner
Abstract #4609

Diagnostic Accuracy of Liver Imaging Reporting and Data System 2017 (LIRADS) Criteria for Hepatocellular Carcinoma

Andrea Siobhan Kierans 1, Jasnit S. Makkar2, Joshua Cornman-Homonoff1, Preethi Guniganti1, and Elizabeth M Hecht2

1Radiology, Well Cornell Medical Center, New york, NY, United States, 2Columbia university medical center, New york, NY, United States

The aim of our investigation is to assess the diagnostic accuracy of the LI-RADS 2017 criteria at two institutions using multiple readers with varying levels of experience with explant or imaging follow-up as the reference standard. Radiology databases from two academic institutions were searched (2013-2014) for patients with a clinical diagnosis of chronic liver disease and at least one reported hepatic observation on dynamic contrast enhanced CT or MRI. This yielded a final cohort of 103 patients with 141 hepatic observations. Two radiologists reviewed the imaging independently and assigned a LI-RADs category to each observation. Inter-reader reliability for LI-RAD assessment was moderate (ICC = 0.63). Sensitivity of LI-RADs categorization for diagnosing HCC was 62% and 59% and specificity was 96% and 84% for reader 1 and 2 respectively. LI-RADs categorization using gadoxetate disodium MR demonstrated higher specificity for HCC diagnosis for reader 2, than MR with extracellular agent.

This abstract and the presentation materials are available to members only; a login is required.

Join Here