Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma

An Tang, Amit Singal, Donald G. Mitchell, Elizabeth M. Hecht, Kathryn J. Fowler, Laura Kulik, Neehar D. Parikh, Yuko Kono, Claude B. Sirlin

Research output: Contribution to journalReview article

2 Citations (Scopus)

Abstract

The Liver Imaging Reporting And Data System (LI-RADS) was created with the support of the American College of Radiology (ACR) to standardize the acquisition, interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). A comprehensive and rigorous system developed by radiologists, hepatologists, pathologists, and surgeons, LI-RADS addresses a wide range of imaging contexts. Currently, 4 algorithms are available publicly on the ACR website: ultrasound for HCC surveillance, computed tomography and magnetic resonance imaging for HCC diagnosis and tumor staging, contrast-enhanced ultrasound for HCC diagnosis, and computed tomography/magnetic resonance imaging for treatment response assessment. Each algorithm is supported by a decision tree, categorization table, lexicon, atlas, technical requirements, and reporting and management guidance. Category codes reflecting the relative probability of HCC and malignancy are assigned to imaging-detected liver observations, with emerging evidence suggesting that LI-RADS accurately stratifies HCC and malignancy probabilities. LI-RADS is an evolving system and has been updated and refined iteratively since 2011 based on scientific evidence, expert opinion, and user feedback, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Concurrent with its most recent update, LI-RADS was integrated into the American Association for the Study of Liver Diseases HCC guidance released in 2018. We anticipate continued refinement of LI-RADS and progressive adoption by radiologists worldwide, with the eventual goal of culminating in a single unified system for international use.

Original languageEnglish (US)
JournalClinical Gastroenterology and Hepatology
DOIs
StatePublished - Jan 1 2019

Fingerprint

Information Systems
Hepatocellular Carcinoma
Liver
Radiology
Tomography
Magnetic Resonance Imaging
Decision Trees
Tissue and Organ Procurement
Atlases
Neoplasm Staging
Expert Testimony
Organ Transplantation
Neoplasms

Keywords

  • Diagnosis
  • Diagnosis
  • Surveillance
  • Treatment Response

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

Cite this

Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma. / Tang, An; Singal, Amit; Mitchell, Donald G.; Hecht, Elizabeth M.; Fowler, Kathryn J.; Kulik, Laura; Parikh, Neehar D.; Kono, Yuko; Sirlin, Claude B.

In: Clinical Gastroenterology and Hepatology, 01.01.2019.

Research output: Contribution to journalReview article

Tang, An ; Singal, Amit ; Mitchell, Donald G. ; Hecht, Elizabeth M. ; Fowler, Kathryn J. ; Kulik, Laura ; Parikh, Neehar D. ; Kono, Yuko ; Sirlin, Claude B. / Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma. In: Clinical Gastroenterology and Hepatology. 2019.
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