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.
Original language | English (US) |
---|---|
Pages (from-to) | 82-100 |
Number of pages | 19 |
Journal | Abdominal Radiology |
Volume | 43 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2018 |
Keywords
- Ancillary features
- Benignity
- Hepatocellular carcinoma
- Imaging features
- Malignancy
- Review article
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Radiology Nuclear Medicine and imaging
- Gastroenterology
- Urology