Liver imaging : it is time to adopt standardized terminology

Liver imaging plays a vital role in the management of patients at risk for hepatocellular carcinoma (HCC); however, progress in the field is challenged by nonuniform and inconsistent terminology in the published literature. The Steering Committee of the American College of Radiology (ACR)’s Liver Imaging Reporting And Data System (LI-RADS), in conjunction with the LI-RADS Lexicon Writing Group and the LI-RADS International Working Group, present this consensus document to establish a single universal liver imaging lexicon. The lexicon is intended for use in research, education, and clinical care of patients at risk for HCC (i.e., the LI-RADS population) and in the general population (i.e., even when LI-RADS algorithms are not applicable). We anticipate that the universal adoption of this lexicon will provide research, educational, and clinical benefits

CT and MRI of the liver for hepatocellular carcinoma

Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used modalities for the imaging based diagnosis and staging of hepatocellular carcinoma (HCC). The Liver Imaging Reporting and Data System (LI-RADS) was initially released in 2011 in an effort to standardize the interpretation and reporting of these studies in patients at increased risk for the development of HCC. With the release of LI-RADS v2018, LI-RADS has reached two important milestones - 10 years since the formation of the American College of Radiology supported LI-RADS committee and integration of LI-RADS into the 2018 American Association for the Study of Liver Disease practice guidance for HCC. In this article, we will discuss recent changes to LI-RADS with v2018, technical recommendations for the performance of CT and MRI in patients at risk for HCC, and critical imaging features in the LI-RADS algorithm

Cirrhotic liver: What's that nodule? The LI-RADS approach.

The Liver Imaging Reporting and Data System (LI-RADS) is an American College of Radiology (ACR)-endorsed diagnostic system of standardized terminology, interpretation, and reporting for imaging examinations of the liver in patients at high risk for hepatocellular carcinoma (HCC). LI-RADS assigns a category to observations in the liver indicating the likelihood of benignity or HCC. LI-RADS categories include LR-1: Definitely Benign, LR-2: Probably Benign, LR-3: Intermediate Probability for HCC, LR-4: Probably HCC, LR-5: Definite HCC, LR-5V: Definite HCC with Tumor in Vein, LR-Treated: Treated HCC, LR-M Probable Malignancy, not specific for HCC. This article reviews the types of nodules seen in the cirrhotic liver, examines core LI-RADS concepts and definitions, and utilizes the LI-RADS v2014 algorithm to categorize representative observations depicted at magnetic resonance imaging in a case-based approach

LI-RADS® algorithm: CT and MRI.

The Liver Imaging Reporting and Data System (LI-RADS®) is an imaging-based diagnostic system applicable in patients at high risk of hepatocellular carcinoma (HCC). In LI-RADS, each liver observation is assigned a category that reflects probability of benignity, HCC, or other malignancy. Familiarity with the LI-RADS diagnostic algorithm is necessary to appropriately implement LI-RADS in clinical practice. This review discusses steps necessary for application of the LI-RADS algorithm and provides examples illustrating each step

LI-RADS® algorithm: CT and MRI.

The Liver Imaging Reporting and Data System (LI-RADS®) is an imaging-based diagnostic system applicable in patients at high risk of hepatocellular carcinoma (HCC). In LI-RADS, each liver observation is assigned a category that reflects probability of benignity, HCC, or other malignancy. Familiarity with the LI-RADS diagnostic algorithm is necessary to appropriately implement LI-RADS in clinical practice. This review discusses steps necessary for application of the LI-RADS algorithm and provides examples illustrating each step