LI-RADS v2018: utilizing ancillary features on gadoxetate-enhanced MRI to modify final LI-RADS category

Christine Boatright*, Jessica Peterson, Vanessa L. Williams, Shaun Best, Ryan Ash

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Purpose: To quantify how often the LI-RADS v2018 category changed when utilizing major features only, when utilizing major and ancillary features, and when utilizing major and ancillary features excluding gadoxetate-specific ancillary features. Methods: Retrospective analysis of 100 patients age 18 and older at high risk for hepatocellular carcinoma who had an MRI abdomen performed with intravenous contrast gadoxetate between 1/1/2017 and 3/23/2018. Each examination was reviewed by a body fellowship-trained radiologist. LI-RADS category was assigned to the liver observation after review of major features only. Ancillary features were then reviewed and LI-RADS category assigned both including and excluding ancillary features specific to gadoxetate. Results: Utilizing all MRI ancillary features, including those specific to gadoxetate, changed the final LI-RADS category in 56.4% of liver observations, the majority an increase or decrease from LR-3. When not including the ancillary features specific to gadoxetate, the final LI-RADS category changed in 30.9% of observations, the majority increasing from LR-3 to LR-4. Conclusion: Utilizing LI-RADS v2018 ancillary features can significantly alter the final LI-RADS category, especially when using gadoxetate-specific ancillary features. Understanding the correct application of ancillary features for the final LI-RADS category helps implement a more consistent category assessment amongst users.

Original languageEnglish (US)
Pages (from-to)3136-3143
Number of pages8
JournalAbdominal Radiology
Volume45
Issue number10
DOIs
StatePublished - Oct 1 2020

Funding

A special thanks is given to the Research Manager Carissa Walter within the Radiology Department as well as the Senior Research Analyst Lauren Clark with the Biostatistics and Data Science Department at the University of Kansas Medical Center.

ASJC Scopus subject areas

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

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