Development of a New Index to Distinguish Hepatic Encephalopathy through Automated Quantification of Globus Pallidal...

Area of Science:

• Neurology
• Radiology
• Hepatology

Background:

• Covert hepatic encephalopathy (CHE) presents with symptoms mimicking mild dementia, complicating diagnosis.
• Distinguishing CHE from dementia is crucial for appropriate patient management.
• Globus pallidus T1-weighted MRI hyperintensities are observed in some liver cirrhosis patients with HE.

Purpose of the Study:

• To develop and validate a novel diagnostic index to differentiate hepatic encephalopathy from dementia.
• To quantify globus pallidus signal hyperintensity for improved diagnostic accuracy.

Main Methods:

• Quantitative analysis of globus pallidus signal hyperintensity using 3D T1-weighted MRI.
• Development of a diagnostic index based on globus pallidus signal intensity.
• Evaluation of the index in cohorts of liver cirrhosis patients (with and without HE) and dementia patients.

Main Results:

• Globus pallidus signal intensity was significantly higher in liver cirrhosis patients with HE compared to those without HE, healthy subjects, and dementia patients.
• A novel index with a cut-off value of 0.994 effectively predicted hepatic encephalopathy, with only 12.5% of non-HE cirrhosis patients and 2% of dementia patients exceeding this threshold.
• Automatic assessment of globus pallidus signal intensity proved useful in distinguishing HE from other neurocognitive impairments.

Conclusions:

• The developed MRI-based index is a valuable tool for distinguishing hepatic encephalopathy in liver cirrhosis patients from dementia.
• This quantitative imaging approach can aid in excluding hepatic encephalopathy in patients with neurocognitive impairment.
• The findings support the utility of globus pallidus signal intensity quantification in the diagnosis of hepatic encephalopathy.