Abdominal Radiology

, Volume 43, Issue 1, pp 82–100 | Cite as

LI-RADS® ancillary features on CT and MRI

  • Victoria Chernyak
  • An Tang
  • Milana Flusberg
  • Demetri Papadatos
  • Bijan Bijan
  • Yuko Kono
  • Cynthia Santillan
Invited article


The Liver Imaging Reporting and Data System (LI-RADS) uses an algorithm to assign categories that reflect the probability of hepatocellular carcinoma (HCC), non-HCC malignancy, or benignity. Unlike other imaging algorithms, LI-RADS utilizes ancillary features (AFs) to refine the final category. AFs in LI-RADS v2017 are divided into those favoring malignancy in general, those favoring HCC specifically, and those favoring benignity. Additionally, LI-RADS v2017 provides new rules regarding application of AFs. The purpose of this review is to discuss ancillary features included in LI-RADS v2017, the rationale for their use, potential pitfalls encountered in their interpretation, and tips on their application.


Review article Hepatocellular carcinoma Imaging features Ancillary features Malignancy Benignity 



Ancillary features


American Association for the Study of Liver Diseases


Apparent diffusion coefficient


Arterial phase hyperenhancement


Computed tomography


Diffusion-weighted imaging


Extracellular agents


Hepatocellular carcinoma


Hepatobiliary phase


Liver Imaging Reporting And Data System


Magnetic resonance imaging




ORGAN Procurement and Transplantation Network


Portal venous phase


Transitional phase


Tumor volume doubling time



This work was supported by [1] the Fonds de recherche du Québec—Santé (Career Award#26993), and New Researcher Startup Grant from the Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM) to An Tang.

Compliance with ethical standards

Conflict of interest

V Chernyak, M. Flusberg, D. Papadatos, B. Bijan, C. Santillan: None. A. Tang, MD, MSc: Advisory board member of Imagia Cybernetics. Y. Kono: Research Grant support: Toshiba Medical Systems Co.; Contrast agent support: Lantheus Medical Imaging Inc.; Equipment support: GE Healthcare; Equipment support: Philips Ultrasound.

Ethical approval

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


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© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Montefiore Medical CenterBronxUSA
  2. 2.Department of Radiology, Radio-Oncology and Nuclear MedicineUniversité de MontréalMontrealCanada
  3. 3.Department of Diagnostic ImagingThe Ottawa HospitalOttawaCanada
  4. 4.Sutter Imaging (SMG)/University of California Davis (UCD)SacramentoUSA
  5. 5.Department of Medicine, Gastroenterology and HepatologyUniversity of CaliforniaSan DiegoUSA
  6. 6.Liver Imaging Group, Department of RadiologyUniversity of CaliforniaSan DiegoUSA

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