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2017 Version of LI-RADS for CT and MR Imaging: An Update
Khaled M Elsayes1, Jonathan C Hooker1, Michelle M Agrons1
1From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E.); Liver Imaging Group, Department of Diagnostic Radiology (J.C.H., C.B.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (Y.K.), University of California San Diego, San Diego, Calif; Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (M.M.A.); Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (A.Z.K.); Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada (A.T.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Montefiore Medical Center, Bronx, NY (V.C.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (R.K.D.); Department of Diagnostic Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); and Department of Radiology, New York Presbyterian-Columbia University Medical Center, New York, NY (E.M.H.).
Abstract:
The Liver Imaging Reporting and Data System (LI-RADS) is a reporting system created for the standardized interpretation of liver imaging findings in patients who are at risk for hepatocellular carcinoma (HCC). This system was developed with the cooperative and ongoing efforts of an American College of Radiology-supported committee of diagnostic radiologists with expertise in liver imaging and valuable input from hepatobiliary surgeons, hepatologists, hepatopathologists, and interventional radiologists. In this article, the 2017 version of LI-RADS for computed tomography and magnetic resonance imaging is reviewed. Specific topics include the appropriate population for application of LI-RADS; technical recommendations for image optimization, including definitions of dynamic enhancement phases; diagnostic and treatment response categories; definitions of major and ancillary imaging features; criteria for distinguishing definite HCC from a malignancy that might be non-HCC; management options following LI-RADS categorization; and reporting. ©RSNA, 2017.
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