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LI-RADS® algorithm: CT and MRI

Abdominal Radiology volume 43, pages 111–126 (2018)Cite this article

Abstract

The Liver Imaging Reporting and Data System (LI-RADS®) is an imaging-based diagnostic system applicable in patients at high risk of hepatocellular carcinoma (HCC). In LI-RADS, each liver observation is assigned a category that reflects probability of benignity, HCC, or other malignancy. Familiarity with the LI-RADS diagnostic algorithm is necessary to appropriately implement LI-RADS in clinical practice. This review discusses steps necessary for application of the LI-RADS algorithm and provides examples illustrating each step.

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Affiliations

  1. Department of Radiology, Montefiore Medical Center, Bronx, NY, USA

    Victoria Chernyak

  2. Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA

    Cynthia S. Santillan & Claude B. Sirlin

  3. Department of Diagnostic Imaging, The Ottawa Hospital, Ottawa, ON, Canada

    Demetri Papadatos

Authors
  1. Victoria Chernyak
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  2. Cynthia S. Santillan
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  3. Demetri Papadatos
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  4. Claude B. Sirlin
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Corresponding author

Correspondence to Victoria Chernyak.

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Conflict of interest

C. B. Sirlin received industry research grants from Bayer, Guerbet, Siemens, GE, Supersonic, Arterys; and has consulting and service agreements with Alexion, AstraZeneca, Bioclinica, BMS, Bracco, Celgene, Fibrogen, Galmed, Genentech, Genzyme, Gilead, Icon, Intercept, Isis, Janssen, NuSirt, Perspectum, Pfizer, Profil, Sanofi, Shire, Synageva, Tobira, Takeda, Virtual Scopics. V. Chernyak, C. S. Santillan, and D. Papadatos declare that they have no other conflicts of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Chernyak, V., Santillan, C.S., Papadatos, D. et al. LI-RADS® algorithm: CT and MRI. Abdom Radiol 43, 111–126 (2018). https://doi.org/10.1007/s00261-017-1228-y

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  • DOI: https://doi.org/10.1007/s00261-017-1228-y

Keywords

  • Review article
  • LI-RADS
  • Hepatocellular carcinoma
  • Imaging categories