The American College of Radiology (ACR) has released the latest version of its Liver Imaging Reporting and Data System (LI-RADS) to standardize terminology and criteria in the interpretation and reporting of imaging examinations of the liver.
The classification system includes several modifications and enhancements compared to the previous version, including the following:
- Unification of LI-RADS and United Network for Organ Sharing (UNOS) Organ Procurement and Transplantation Network (OPTN) categorization
- Change from list format to algorithmic format for assignment of LI-RADS category codes
- Expansion of the LI-RADS lexicon of terms
- Incorporation of a comprehensive atlas that illustrates major and ancillary imaging features, as well as key lexicon terms
- Incorporation of management implications for each liver reporting category
- Incorporation of CT and MRI technical requirements
LI-RADS currently applies to patients with cirrhosis or those at risk for hepatocellular carcinoma.



















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)