Basic Science and Instrumentation Scientific Session 2
Multiparametric ultrasound analysis for diagnosis of hepatic steatosis in human subjects
Sunday, April 7, 2024
2:41pm – 2:53pm
Location: 410
Authors: Jihye Baek, Stanford University Ahmed Kaffas, Stanford Aya Kamaya, Stanford Kenneth Hoyt, Texas A&M University Kevin Parker, University of Rochester Lokesh BasavarajappaLokesh Basavarajappa ,
We propose a multiparametric analysis to (1) combine information from quantitative ultrasound measures and (2) display visual color imaging, providing an immediate visual impression that can inform the radiologist before any consideration of numerical values. 30 patients with accumulated fat fraction between 1 and 44% were investigated. 13 ultrasound parameters were measured including, H-scan, attenuation coefficient, Burr and Nakagami parameters, and shear wave parameters. Principal component analysis calculated a combined parameter, which was utilized as the color intensity of multiparametric color imaging. Our multiparametric analysis resulted in a strong correlation (R = 0.930, p < 0.001) with MRI-PDFF as the gold standard.