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Abdominal Radiology

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24.06.2017 | Invited article

LI-RADS^® ancillary features on CT and MRI

verfasst von: Victoria Chernyak, An Tang, Milana Flusberg, Demetri Papadatos, Bijan Bijan, Yuko Kono, Cynthia Santillan

Erschienen in: Abdominal Radiology | Ausgabe 1/2018

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Abstract

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.

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Titel: LI-RADS® ancillary features on CT and MRI
verfasst von: Victoria Chernyak
An Tang
Milana Flusberg
Demetri Papadatos
Bijan Bijan
Yuko Kono
Cynthia Santillan
Publikationsdatum: 24.06.2017
Verlag: Springer US
Erschienen in: Abdominal Radiology / Ausgabe 1/2018
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI: https://doi.org/10.1007/s00261-017-1220-6

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LI-RADS^® ancillary features on CT and MRI

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