LI-RADS® ancillary features on CT and MRI

Abdom Radiol (NY). 2018 Jan;43(1):82-100. doi: 10.1007/s00261-017-1220-6.

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) uses an algorithm to assign categories that reflect the probability of hepatocellular carcinoma (HCC), non-HCC malignancy, or benignity. Unlike other imaging algorithms, LI-RADS utilizes ancillary features (AFs) to refine the final category. AFs in LI-RADS v2017 are divided into those favoring malignancy in general, those favoring HCC specifically, and those favoring benignity. Additionally, LI-RADS v2017 provides new rules regarding application of AFs. The purpose of this review is to discuss ancillary features included in LI-RADS v2017, the rationale for their use, potential pitfalls encountered in their interpretation, and tips on their application.

Keywords: Ancillary features; Benignity; Hepatocellular carcinoma; Imaging features; Malignancy; Review article.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms*
  • Carcinoma, Hepatocellular / diagnostic imaging*
  • Carcinoma, Hepatocellular / pathology
  • Contrast Media
  • Humans
  • Liver Neoplasms / diagnostic imaging*
  • Liver Neoplasms / pathology
  • Magnetic Resonance Imaging / methods
  • Tomography, X-Ray Computed / methods
  • Ultrasonography / methods

Substances

  • Contrast Media