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Purpose: The contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (TRA) is still in development. The aim of this study was to explore whether the CT/MRI LI-RADS TRA features were applicable to CEUS in evaluating the liver locoregional therapy (LRT) response.
Patients And Methods: This study was a retrospective review of a prospectively maintained database of patients with hepatocellular carcinoma undergoing ablation between July 2017 and December 2018. The standard criteria for a viable lesion were a histopathologically confirmed or typical viable appearance in the follow-up CT/MRI. Performance of the LI-RADS TRA assessing tumor viability was then compared between CEUS and CT/MRI. Inter-reader association was calculated.
Results: A total of 244 patients with 389 treated observations (118 viable) were evaluated. The sensitivity and specificity of the CEUS TRA and CT/MRI LI-RADS TRA viable categories for predicting viable lesions were 55.0% (65/118) versus 56.8% (67/118) ( = 0.480) and 99.3% (269/271) versus 96.3% (261/271) ( = 0.013), respectively. The PPV of CEUS was higher than that of CT/MRI (97.0% vs 87.0%). Subgroup analysis showed that the sensitivity was low in the 1-month assessment for both CEUS (38.1%, 16/42) and CT/MR (47.6%, 20/42) and higher in the 2-6-month assessment for both CEUS (65.7%, 23/35) and CT/MR (62.9%, 22/35). Interobserver agreements were substantial for both CEUS TRA and CT/MRI LI-RADS TRA (κ, 0.74 for both).
Conclusion: The CT/MRI LI-RADS TRA features were applicable to CEUS TRA for liver locoregional therapy. The CEUS TRA for liver locoregional therapy has sufficiently high specificity and PPV to diagnose the viability of lesions after ablation.
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http://dx.doi.org/10.2147/JHC.S353914 | DOI Listing |
Abdom Radiol (NY)
August 2025
University of Alberta, Edmonton, Canada.
LR-M is a category within the Liver Imaging Reporting and Data System (LI-RADS) that refers to liver observations that are probably or definitely malignant but are not specific to hepatocellular carcinoma (HCC). It includes etiologies such as atypical HCC, intrahepatic cholangiocarcinoma, combined hepatocellular cholangiocarcinoma and metastases. The primary aim of LR-M is to ensure a high sensitivity for detecting all hepatic malignancies while preserving a high specificity for HCC in LR-5.
View Article and Find Full Text PDFJpn J Radiol
June 2025
Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
The liver imaging reporting and data system (LI-RADS) CT/MRI treatment response assessment (TRA) provides a standardized framework for evaluating treatment response following loco-regional therapy for hepatocellular carcinoma (HCC). Initially introduced in 2017, it was revised in 2024 to reflect advances in research. The updated LI-RADS CT/MRI TRA v2024 presents a bifurcated algorithm based on the mechanisms underlying loco-regional therapy and introduces distinct assessment criteria with which to evaluate treatment response after radiation therapy.
View Article and Find Full Text PDFAbdom Radiol (NY)
June 2025
Memorial Sloan Kettering Cancer Center, New York, USA.
Objectives: Various mutations in hepatocellular carcinoma (HCC) carry prognostic implications. The objective of this study is to assess CT and MRI imaging features associated with Catenin Beta-1 (CTNNB1) mutation in HCC.
Methods: This retrospective, IRB- approved multi-reader, single-center study included treatment-naive, pathologic-proven HCC that underwent contrast-enhanced CT, MRI or both, with subsequent targeted tumor sequencing test.
Radiology
June 2025
Department of Medical Imaging, The Ottawa Hospital-Civic Campus, 1053 Carling Ave, Rm c-159, Ottawa, ON, Canada K1E 4Y9.
Background The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) diagnostic algorithm classifies liver observations in patients with high-risk hepatocellular carcinoma (HCC) using imaging features. However, data regarding the diagnostic performance of specific LI-RADS major feature combinations is limited. Purpose To conduct a systematic review and individual participant data (IPD) meta-analysis to establish the positive predictive values (PPVs) of LI-RADS major feature combinations using CT/MRI LI-RADS version 2018 in patients at risk for HCC.
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