LI-RADS Made Easy

Abstract

Purpose The Liver Imaging Reporting and Data System (LI-RADS v2018) standardizes the interpretation and reporting of MDCT and MRI examinations in patients at risk for hepatocellular carcinoma (HCC).

Materials and Methods For focal liver lesions (called “observations”) it assigns categories (LR-1 to 5, LR-M, LR-TIV, LR-TR), which reflect the probability of benignity or malignancy (HCC or other non-HCC malignancies) of the respective observation. The categories assigned are based on major and ancillary image features, which have been developed by the American College of Radiology (ACR), revised several times (now v2018), and validated in many studies. The value of ancillary features to modify LI-RADS categories assigned to observations based on major features is shown.

Results This review summarizes the relevant CT and MRI features and presents a step-by-step approach for readers not familiar with LI-RADS on how to use the system. Relevant imaging features and the value of different modalities (contrast-enhanced CT, MRI with extracellular gadolinium chelates or liver-specific contrast agents) is explained.

Conclusion The widespread adoption of LI-RADS for CT/MRI reporting in high-risk patients would help to reduce inter-reader variability. It could improve communication between radiologists, oncologists, hepatologists, pathologists, and liver surgeons, and lead to better patient management.

Key points: 

• LI-RADS has been developed and revised to address the need for improved diagnosis and standardized categorization of findings in chronic liver disease.

• CT/MRI LI-RADS consists of major criteria and ancillary features to classify observations.

• LI-RADS terminology helps to clarify the communication of liver observations between radiologists and referring physicians.

Citation Format

• Schima W, Kopf H, Eisenhuber E. LI-RADS made Easy. Fortschr Röntgenstr 2023; 195: 486 – 494

Key words

CT - liver - MR-imaging - HCC - LI-RADS

Publikationsverlauf

Eingereicht: 31. Januar 2022

Angenommen: 23. November 2022

Artikel online veröffentlicht:
01. Februar 2023

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