Imaging Features at the Periphery: Hemodynamics, Pathophysiology, and Effect on LI-RADS Categorization.

Area of Science:

• Radiology
• Medical Imaging
• Oncology

Background:

• Dynamic contrast-enhanced imaging reveals diverse enhancement patterns in liver lesions.
• The Liver Imaging Reporting and Data System (LI-RADS) incorporates enhancement kinetics for hepatocellular carcinoma (HCC) diagnosis in at-risk patients.
• Accurate liver mass characterization relies on detailed analysis of spatial and temporal enhancement features.

Purpose of the Study:

• To investigate specific enhancement patterns at the margins of liver observations.
• To correlate these patterns with LI-RADS criteria for HCC and other liver pathologies.
• To enhance the diagnostic accuracy of HCC and the assessment of treatment response.

Main Methods:

• Focus on marginal enhancement patterns including targetoid appearance, rim arterial phase hyperenhancement, peripheral washout, discontinuous nodular enhancement, enhancing/nonenhancing capsules, corona enhancement, and periobservational arterioportal shunts.
• Evaluation of peripheral and periobservational enhancement in post-treatment settings.
• Application of LI-RADS classification for feature identification.

Main Results:

• Identified various marginal and periobservational enhancement patterns.
• These patterns are categorized as major/ancillary features for HCC, general malignancy, non-HCC malignancy, benign entities, or treatment response.
• Distinguishing these patterns aids in specific HCC diagnosis and treatment evaluation.

Conclusions:

• Detailed analysis of specific enhancement patterns, particularly at lesion margins, is essential for accurate liver lesion characterization.
• These patterns, as defined by LI-RADS, are critical for differentiating HCC from other conditions and assessing therapeutic outcomes.
• Improved understanding of enhancement kinetics refines diagnostic strategies and treatment monitoring for liver lesions.