This study aimed to assess the severity of fatty liver (FL) by analyzing ultrasound
radiofrequency (RF) signals in rats. One hundred and twenty rats (72 in the FL group and
48 in the control group) were used for this purpose. Histological results were the golden
standard: 42 cases had normal livers (N), 30 cases had mild FL (L1), 25 cases had moderate
FL (L2), 13 cases presented with severe FL (L3), and 10 cases were excluded from the
study. Four RF parameters (Mean, Mean/SD ratio [MSR], skewness [SK], and kurtosis [KU]
were extracted. Univariate analysis, spearman correlation analysis, and stepwise
regression analysis were used to select the most powerful predictors. Receiver operating
characteristic (ROC) analysis was used to compare the diagnostic efficacy of single
indexes with a combined index (Y) expressed by a regression equation. Mean, MSR, SK, and
KU were significantly correlated with FL grades (r=0.71, P<0.001;
r=0.81, P<0.001; r=−0.79, P<0.001; and r=−0.74,
P<0.001). The regression equation was Y=−4.48 + 3.20 ×
10−2X1 + 3.15X2 (P<0.001), where Y=hepatic steatosis
grade, X1 =Mean, and X2 =MSR. ROC analysis showed that the curve areas of the combined
index (Y) were superior to simple indexes (Mean, MSR, SK, and KU) in evaluating hepatic
steatosis grade, and they were 0.95 (L≥L1), 0.98 (L≥L2), and 0.99 (L≥L3). Ultrasound
radiofrequency signal quantitative technology was a new, noninvasive, and promising
sonography-based approach for the assessment of FL.