Updates on LI-RADS treatment response criteria for hepatocellular carcinoma: Focusing on MRI Review


Authors: Patel, R.; Aslam, A.; Parikh, N. D.; Mervak, B.; Mubarak, E.; Higgins, L.; Lala, K.; Conner, J. F.; Khaykin, V.; Bashir, M.; Do, R. K. G.; Burke, L. M. B.; Smith, E. N.; Kim, C. Y.; Shampain, K. L.; Owen, D.; Mendiratta-Lala, M.
Review Title: Updates on LI-RADS treatment response criteria for hepatocellular carcinoma: Focusing on MRI
Abstract: As the incidence of hepatocellular carcinoma (HCC) and subsequent treatments with liver-directed therapies rise, the complexity of assessing lesion response has also increased. The Liver Imaging Reporting and Data Systems (LI-RADS) treatment response algorithm (LI-RADS TRA) was created to standardize the assessment of response after locoregional therapy (LRT) on contrast-enhanced CT or MRI. Originally created based on expert opinion, these guidelines are currently undergoing revision based on emerging evidence. While many studies support the use of LR-TRA for evaluation of HCC response after thermal ablation and intra-arterial embolic therapy, data suggest a need for refinements to improve assessment after radiation therapy. In this manuscript, we review expected MR imaging findings after different forms of LRT, clarify how to apply the current LI-RADS TRA by type of LRT, explore emerging literature on LI-RADS TRA, and highlight future updates to the algorithm. Evidence Level: 3. Technical Efficacy: Stage 2. © 2023 International Society for Magnetic Resonance in Medicine.
Keywords: retrospective studies; hepatocellular carcinoma; liver cell carcinoma; carcinoma, hepatocellular; liver neoplasms; nuclear magnetic resonance imaging; magnetic resonance imaging; sensitivity and specificity; diagnostic imaging; retrospective study; liver tumor; contrast medium; contrast media; procedures; locoregional therapy; data system; humans; human; treatment response assessment; liver imaging data and reporting system treatment response algorithm; data systems
Journal Title: Journal of Magnetic Resonance Imaging
Volume: 57
Issue: 6
ISSN: 1053-1807
Publisher: Wiley Blackwell  
Date Published: 2023-06-01
Start Page: 1641
End Page: 1654
Language: English
DOI: 10.1002/jmri.28659
PUBMED: 36872608
PROVIDER: scopus
DOI/URL:
Notes: Review -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF and PubMed -- Export Date: 31 May 2023 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Kinh Gian Do
    256 Do