CT and MRI LI-RADS Treatment Response Assessment 2024: Core Concepts for Clinical Practice
Guilherme Gotti Naves1, Patrícia Perola Dantas1,2, Antônio Eustáquio Dantas Silva Júnior1
1Department of Radiology, Rede D'Or São Luiz, Av. Brigadeiro Luís Antonio, São Paulo, SP 04502001, Brazil.
The updated 2024 Liver Imaging Reporting and Data System (LI-RADS) algorithm standardizes hepatocellular carcinoma (HCC) treatment response assessment after locoregional therapy. It improves detection of residual tumor viability using distinct criteria for radiation and non-radiation treatments.
Area of Science:
- Radiology and Medical Imaging
- Hepatobiliary Malignancies
- Oncology
Background:
- Locoregional therapies are standard for hepatocellular carcinoma (HCC) management, requiring post-treatment imaging surveillance.
- Interpreting imaging after HCC treatment is complex due to variable findings based on therapy type, response, and time.
- Standardized assessment is crucial for timely detection of HCC recurrence or residual tumor viability.
Purpose of the Study:
- To review the updated 2024 CT and MRI Liver Imaging Reporting and Data System (LI-RADS) treatment response assessment algorithm.
- To highlight the algorithm's improvements in standardizing imaging interpretation and reporting for HCC.
- To discuss the clinical applicability and patient care implications of the revised LI-RADS algorithm.
Main Methods:
- The study reviews the updated 2024 LI-RADS treatment response assessment algorithm for HCC.
- It incorporates emerging evidence and user feedback for enhanced accuracy.
- Distinct criteria for radiation- and non-radiation-based therapies are established, alongside ancillary MRI features.
Main Results:
- The updated 2024 LI-RADS algorithm provides standardized criteria for assessing HCC treatment response.
- It differentiates assessment based on radiation vs. non-radiation therapies.
- Ancillary MRI features are integrated to improve the detection of residual tumor viability.
Conclusions:
- The revised LI-RADS algorithm enhances the standardization of imaging interpretation for HCC locoregional therapy.
- It offers improved accuracy in detecting residual tumor viability, impacting patient management decisions.
- The updated algorithm has significant clinical applicability and implications for patient care in HCC management.
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