CT/MRI LI-RADS 2024 update: Treatment response assessment Review

   


Authors: Aslam, A.; Chernyak, V.; Miller, F. H.; Bashir, M.; Do, R.; Sirlin, C.; Lewandowski, R. J.; Kim, C. Y.; Kielar, A. Z.; Kambadakone, A. R.; Yarmohammadi, H.; Kim, E.; Owen, D.; Charalel, R. A.; Shenoy-Bhangle, A.; Burke, L. M.; Mendiratta-Lala, M.
Review Title: CT/MRI LI-RADS 2024 update: Treatment response assessment
Abstract: With the rising incidence of hepatocellular carcinoma, there has been increasing use of local-regional therapy (LRT) to downstage or bridge to transplant, for definitive treatment, and for palliation. The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Assessment (TRA) algorithm provides guidance for step-by-step tumor assessment after LRT and standardized reporting. Current evidence suggests that the algorithm performs well in the assessment of tumor response to arterial embolic and loco-ablative therapies and fair when assessing response to radiation-based therapies, with limited data to validate the latter. Both evidence-based and expert-based refinements of the algorithm are needed to improve its diagnostic accuracy after varying types of LRT. This review provides an overview of the challenges and limitations of the LI-RADS TRA algorithm version 2017 and discusses the refinements introduced in the updated 2024 LI-RADS algorithm for CT/MRI. © RSNA, 2024.
Keywords: treatment outcome; liver cell carcinoma; carcinoma, hepatocellular; liver neoplasms; nuclear magnetic resonance imaging; magnetic resonance imaging; tomography, x-ray computed; diagnostic imaging; algorithms; liver; algorithm; liver tumor; therapy; procedures; humans; human; x-ray computed tomography
Journal Title: Radiology
Volume: 313
Issue: 2
ISSN: 0033-8419
Publisher: Radiological Society of North America, Inc.  
Date Published: 2024-11-01
Start Page: e232408
Language: English
DOI: 10.1148/radiol.232408
PUBMED: 39530896
PROVIDER: scopus
PMCID: PMC11605109
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209477833&doi=10.1148%2fradiol.232408&partnerID=40&md5=7d94c86006b0887b37c7c1a1205a5b70
Notes: Source: Scopus
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MSK Authors
  1. Kinh Gian Do
    256 Do
  2. Hooman Yarmohammadi
    131 Yarmohammadi
  3. Victoria Chernyak
    37 Chernyak
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