期刊
ABDOMINAL RADIOLOGY
卷 43, 期 1, 页码 82-100出版社
SPRINGER
DOI: 10.1007/s00261-017-1220-6
关键词
Review article; Hepatocellular carcinoma; Imaging features; Ancillary features; Malignancy; Benignity
资金
- Fonds de recherche du Quebec-Sante [26993]
- New Researcher Startup Grant from Centre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM)
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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