TY - JOUR
T1 - CT/MRI LI-RADS 2024 Update
T2 - Treatment Response Assessment
AU - Aslam, Anum
AU - Chernyak, Victoria
AU - Miller, Frank H.
AU - Bashir, Mustafa
AU - Do, Richard
AU - Sirlin, Claude
AU - Lewandowski, Robert J.
AU - Kim, Charles Y.
AU - Kielar, Ania Zofia
AU - Kambadakone, Avinash R.
AU - Yarmohammadi, Hooman
AU - Kim, Edward
AU - Owen, Dawn
AU - Charalel, Resmi A.
AU - Shenoy-Bhangle, Anuradha
AU - Burke, Lauren M.
AU - Mendiratta-Lala, Mishal
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/11
Y1 - 2024/11
N2 - With the rising incidence of hepatocellular carcinoma, there has been increasing use of local-regional therapy (LRT) to downstage or bridge totransplant, 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.
AB - With the rising incidence of hepatocellular carcinoma, there has been increasing use of local-regional therapy (LRT) to downstage or bridge totransplant, 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.
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U2 - 10.1148/radiol.232408
DO - 10.1148/radiol.232408
M3 - Review article
C2 - 39530896
AN - SCOPUS:85209477833
SN - 0033-8419
VL - 313
JO - Radiology
JF - Radiology
IS - 2
M1 - e232408
ER -
