LI-RADS ancillary feature prediction of longitudinal category changes in LR-3 observations: an exploratory study.

Journal Article (Journal Article)

PURPOSE: To determine whether LI-RADS ancillary features predict longitudinal LR-3 observation category changes. MATERIALS AND METHODS: This exploratory, retrospective, single-center study with an independent reading center included patients who underwent two or more multiphase CT or MRI examinations for hepatocellular carcinoma assessment between 2011 and 2015. Three readers independently evaluated each observation using CT/MRI LI-RADS v2017, and observations categorized LR-3 using major features only were included in the analysis. Prevalence of major and ancillary features was calculated. After excluding low-frequency (< 5%) features, inter-reader agreement was assessed using intraclass correlation coefficient (ICC). Major and ancillary feature prediction of observation upgrade (to LR-4 or higher) or downgrade (to LR-1 or LR-2) on follow-up imaging was assessed using logistic regression. RESULTS: 141 LR-3 observations in 79 patients were included. Arterial phase hyperenhancement, washout, restricted diffusion, mild-moderate T2 hyperintensity, and hepatobiliary phase hypointensity were frequent enough for further analysis (consensus prevalence 5.0-66.0%). ICCs for inter-reader agreement ranged from 0.18 for restricted diffusion to 0.48 for hepatobiliary phase hypointensity. On follow-up, 40% (57/141) of baseline LR-3 observations remained LR-3. 8% (11/141) were downgraded to LR-2, and 42% (59/141) were downgraded to LR-1. A small number were ultimately upgraded to LR-4 (2%, 3/141) or LR-5 (8%, 11/141). None of the assessed major or ancillary features was significantly associated with observation category change. Longer follow-up time was significantly associated with both observation upgrade and downgrade. CONCLUSION: While numerous ancillary features are described in LI-RADS, most are rarely present and are not useful predictors of LR-3 observation category changes.

Full Text

Duke Authors

Cited Authors

  • Shropshire, E; Mamidipalli, A; Wolfson, T; Allen, BC; Jaffe, TA; Igarashi, S; Higaki, A; Tanabe, M; Gamst, A; Sirlin, CB; Bashir, MR

Published Date

  • October 2020

Published In

Volume / Issue

  • 45 / 10

Start / End Page

  • 3092 - 3102

PubMed ID

  • 32052132

Pubmed Central ID

  • 32052132

Electronic International Standard Serial Number (EISSN)

  • 2366-0058

Digital Object Identifier (DOI)

  • 10.1007/s00261-020-02429-2

Language

  • eng

Conference Location

  • United States