LI-RADS v2017 for liver nodules: How we read and report

Wolfgang Schima, Jay Heiken

Research output: Contribution to journalReview article

7 Citations (Scopus)

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation and reporting of imaging examinations in patients at risk for hepatocellular carcinoma (HCC). For focal liver observations it assigns categories (LR-1 to 5, LR-M, LR-TIV), which reflect the relative probability of benignity or malignancy of the respective observation. The categories assigned are based on major and ancillary image features, which have been developed by the American College of Radiology (ACR) and validated in many studies. This review summarizes the relevant CT and MRI features and presents an image-guided approach for readers not familiar with LI-RADS on how to use the system. The widespread adoption of LI-RADS for reporting would help reduce inter-reader variability and improve communication among radiologists, hepatologists, hepatic surgeons and oncologists, thus leading to improved patient management.

Original languageEnglish (US)
Article number14
JournalCancer Imaging
Volume18
Issue number1
DOIs
StatePublished - Apr 24 2018

Fingerprint

Information Systems
Liver
Radiology
Hepatocellular Carcinoma
Research Design
Communication
Observation
Neoplasms

Keywords

  • CT
  • Hepatocellular carcinoma
  • LI-RADS
  • MRI

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Oncology
  • Radiology Nuclear Medicine and imaging

Cite this

LI-RADS v2017 for liver nodules : How we read and report. / Schima, Wolfgang; Heiken, Jay.

In: Cancer Imaging, Vol. 18, No. 1, 14, 24.04.2018.

Research output: Contribution to journalReview article

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