LI-RADS 2017: An update

Ania Z. Kielar, Victoria Chernyak, Mustafa R. Bashir, Richard K. Do, Kathryn J. Fowler, Donald G. Mitchell, Milena Cerny, Khaled M. Elsayes, Cynthia Santillan, Aya Kamaya, Yuko Kono, Claude B. Sirlin, An Tang

Research output: Contribution to journalReview article

16 Scopus citations

Abstract

The computed tomography / magnetic resonance imaging (CT/MRI) Liver Imaging Reporting & Data System (LI-RADS) is a standardized system for diagnostic imaging terminology, technique, interpretation, and reporting in patients with or at risk for developing hepatocellular carcinoma (HCC). Using diagnostic algorithms and tables, the system assigns to liver observations category codes reflecting the relative probability of HCC or other malignancies. This review article provides an overview of the 2017 version of CT/MRI LI-RADS with a focus on MRI. The main LI-RADS categories and their application will be described. Changes and updates introduced in this version of LI-RADS will be highlighted, including modifications to the diagnostic algorithm and to the optional application of ancillary features. Comparisons to other major diagnostic systems for HCC will be made, emphasizing key similarities, differences, strengths, and limitations. In addition, this review presents the new Treatment Response algorithm, while introducing the concepts of MRI nonviability and viability. Finally, planned future directions for LI-RADS will be outlined. Level of Evidence: 5. Technical Efficacy: Stage 5. J. Magn. Reson. Imaging 2018;47:1459–1474.

Original languageEnglish (US)
Pages (from-to)1459-1474
Number of pages16
JournalJournal of Magnetic Resonance Imaging
Volume47
Issue number6
DOIs
StatePublished - Jun 2018

Keywords

  • LI-RADS
  • MRI
  • ancillary features
  • hepatocellular carcinoma
  • imaging features
  • liver

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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    Kielar, A. Z., Chernyak, V., Bashir, M. R., Do, R. K., Fowler, K. J., Mitchell, D. G., Cerny, M., Elsayes, K. M., Santillan, C., Kamaya, A., Kono, Y., Sirlin, C. B., & Tang, A. (2018). LI-RADS 2017: An update. Journal of Magnetic Resonance Imaging, 47(6), 1459-1474. https://doi.org/10.1002/jmri.26027