Multivariable Quantitative US Parameters for Assessing Hepatic Steatosis

Area of Science:

• Radiology and Imaging
• Hepatology
• Medical Ultrasound

Background:

• Rising incidence of nonalcoholic fatty liver disease necessitates noninvasive diagnostic methods.
• Current methods for assessing hepatic steatosis lack widespread availability and accuracy.
• Need for precise, accessible tools to detect liver fat in chronic liver disease (CLD) patients.

Purpose of the Study:

• To evaluate the diagnostic performance of various quantitative ultrasound (US) parameter combinations.
• To predict the presence of at least 5% hepatic steatosis in CLD patients.
• To compare the efficacy of models using US-guided attenuation parameter (UGAP), integrated backscatter coefficient (IBSC), and signal-to-noise ratio (SNR).

Main Methods:

• Prospective multicenter study involving 582 CLD patients (February 2020 - April 2021).
• Quantitative US parameters (IBSC, SNR, UGAP) measured; hepatic steatosis defined by MRI proton density fat fraction (PDFF).
• Four predictive models developed: UGAP alone, UGAP+IBSC, UGAP+SNR, and UGAP+IBSC+SNR; performance assessed via AUC and C-index.

Main Results:

• All models demonstrated high diagnostic performance for detecting at least 5% steatosis.
• Models incorporating SNR (UGAP+SNR and UGAP+IBSC+SNR) showed superior discrimination.
• The combined model (UGAP+IBSC+SNR) achieved the highest AUC of 0.96.

Conclusions:

• A quantitative ultrasound model integrating UGAP, IBSC, and SNR accurately identifies hepatic steatosis in CLD patients.
• This multi-parameter US approach offers a promising noninvasive tool for liver fat assessment.
• The findings support the clinical utility of advanced ultrasound techniques for liver disease management.