LI-RADS ® ancillary features on CT and MRI

Victoria Chernyak, An Tang, Milana Flusberg, Demetri Papadatos, Bijan Bijan, Yuko Kono, Cynthia Santillan

Research output: Contribution to journalReview articlepeer-review

38 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)82-100
Number of pages19
JournalAbdominal Radiology
Volume43
Issue number1
DOIs
StatePublished - Jan 1 2018

Keywords

  • Ancillary features
  • Benignity
  • Hepatocellular carcinoma
  • Imaging features
  • Malignancy
  • Review article

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Gastroenterology
  • Urology

Fingerprint

Dive into the research topics of 'LI-RADS <sup>®</sup> ancillary features on CT and MRI'. Together they form a unique fingerprint.

Cite this