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LI-RADS® ancillary features on CT and MRI
Victoria Chernyak1, An Tang2, Milana Flusberg3
1Montefiore Medical Center, Bronx, NY, USA. vichka17@hotmail.com.
Abdominal Radiology (New York)
|June 26, 2017
Summary
The Liver Imaging Reporting and Data System (LI-RADS) uses ancillary features (AFs) to improve the accuracy of diagnosing liver cancer. This review details LI-RADS v2017 AFs, their application, and potential interpretation challenges.
Area of Science:
- Radiology
- Hepatology
- Oncology
Background:
- The Liver Imaging Reporting and Data System (LI-RADS) is crucial for categorizing liver lesions.
- Ancillary Features (AFs) refine LI-RADS categorization beyond primary imaging findings.
- LI-RADS v2017 introduced updated AFs and application guidelines.
Purpose of the Study:
- To review the ancillary features (AFs) within the LI-RADS v2017 classification system.
- To explain the rationale behind using specific AFs for liver lesion characterization.
- To provide guidance on interpreting and applying AFs, including potential pitfalls.
Main Methods:
- Review of LI-RADS v2017 guidelines focusing on ancillary features.
- Categorization of AFs into those favoring malignancy, HCC specifically, or benignity.
- Discussion of new rules for AF application in LI-RADS v2017.
Main Results:
- LI-RADS v2017 incorporates a comprehensive set of AFs to enhance diagnostic accuracy.
- AFs are classified based on their predictive value for malignancy or benignity.
- Specific guidelines are provided for the application of these features.
Conclusions:
- Understanding and correctly applying LI-RADS v2017 ancillary features is essential for accurate liver lesion diagnosis.
- Awareness of potential interpretation pitfalls can improve diagnostic confidence.
- This review serves as a guide for clinicians utilizing LI-RADS v2017.
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