Chih-Hao LinMING-CHIH HOPO-CHU LEEPO-JEN YANGCHIUNG-NIEN CHENYUNG-MING JENGJIA-HUEI TSAIARGON CHEN2024-07-172024-07-172024-080041624Xhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85196819246&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/719877Diagnosis of early hepatic steatosis would allow timely intervention. B-mode ultrasound imaging was in question for detecting early steatosis, especially with a variety of concomitant parenchymal disease. This study aimed to use the surgical specimen as a reference standard to elucidate the clinical performance of ultrasonic echogenicity and backscatter parametric and nonparametric statistics in real-world scenarios. Ultrasound radio-frequency (RF) signals of right liver lobe and patient data were collected preoperatively. Surgical specimen was then used to histologically determine staging of steatosis. A backscatter nonparametric statistic (h), a known backscatter parametric statistic, i.e., the Nakagami parameter (m), and a quantitative echo intensity (env) were calculated. Among the 236 patients included in the study, 93 were grade 0 (<5% fat) and 143 were with steatosis. All the env, m and h statistics had shown significant discriminatory power of steatosis grades (AUC = 0.643–0.907 with p-value < 0.001). Mann-Whitney U tests, however, revealed that only the backscatter statistics m and h were significantly different between the groups of grades 0 and 1 steatosis. The two-way ANOVA showed a significant confounding effect of the elevated ALT on env (p-value = 0.028), but no effect on m or h. Additionally, the severe fibrosis was found to be a significant covariate for m and h. Ultrasonic signals acquired from different scanners were found linearly comparable.falseHepatic steatosisHepatitisLiver fibrosisNonparametric statisticsUltrasonic backscattered signalsClinical performance of ultrasonic backscatter parametric and nonparametric statistics in detecting early hepatic steatosisjournal article10.1016/j.ultras.2024.1073912-s2.0-85196819246