Sep 2026· Journal of ultrasound in medicine· 0 citations· 23 references
Medicine
TL;DR
TAI and USFF showed high, comparable performance for detecting hepatic steatosis and outperformed TSI and discrimination between moderate and severe steatosis remained limited in the US evaluation.
Abstract
Objectives
To assess the performance of 3 ultrasound-based liver fat quantification algorithms-tissue attenuation imaging (TAI), tissue scatter imaging (TSI; Nakagami parameter), and ultrasound-derived fat fraction (USFF)-using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) as the reference standard.
Methods
In this prospective, IRB-approved, HIPAA-compliant study conducted at 2 North American centers, adults with or at risk for hepatic steatosis underwent quantitative ultrasound and same-day MRI-PDFF. The US examinations were performed with the Samsung RS85 system (Samsung Medison, Seoul, South Korea) using a C1-5S transducer. The software version utilized was 2.08.01.3538. Correlations were assessed using Spearman's rho. Diagnostic performance for steatosis grades S > 0, S > 1, and S > 2 was evaluated using AUROC analysis. Overall accuracy across grades was also assessed with the Obuchowski measure. Correlations and AUROCs were compared using Steiger's and DeLong's tests, respectively.
Results
Among 181 participants (113 women; median age, 57 years), MRI-PDFF correlated strongly with TAI and USFF (rho, 0.77 and 0.79) and moderately with TSI (rho, 0.57). For S > 0, AUROCs were 0.92 for TAI, 0.78 for TSI, and 0.93 for USFF; for S > 1, 0.88, 0.77, and 0.89; and for S > 2, 0.81, 0.73, and 0.83, respectively. Obuchowski measures were 0.87, 0.76, and 0.88. TAI and USFF were significantly more accurate than TSI (p = .03 and p = .02), with no significant difference between them (p = .79).
Conclusions
TAI and USFF showed high, comparable performance for detecting hepatic steatosis and outperformed TSI. USFF was numerically superior to TAI, without significant incremental benefit. Discrimination between moderate and severe steatosis remained limited in the US evaluation.
Background MRI-PDFF enables accurate non-invasive quantification of liver fat, but its routine use is limited by cost, availability, and workflow constraints. Ultrasound-derived fat fraction (UDFF) may offer a more accessible quantitative alternative, yet its added value over the conventional hepatorenal index (HRI) re...
Yi-Min Wu, Jian-Gui Cheng, Dao-Jing Xu et al.· Frontiers in Nutrition· 0 citations
Aim The aim of the study is to determine the diagnostic effectiveness of liver fat quantification using ultrasound-based acoustic attenuation imaging (ATI) to grade the severity of hepatic steatosis in an Asian Indian population. Methods A diagnostic center-based cross-sectional study was conducted, adhering to the Sta...
R. Chaubal, N. Chaubal, Kedar Patil et al.· Indian Journal of Radiology...· 0 citations
Background/Objectives: Multiple imaging modalities are available for non-invasive hepatic fat quantification. We performed a hypothesis-generating methods-comparison study to compare liver fat fraction (FF) measurements obtained using magnetic resonance imaging (MRI) in-phase/opposed-phase (IP/OP) with dual-energy comp...
J. Loo, Shi Min Yeow, Kang-Ren Yong et al.· Diagnostics· 0 citations
Metabolic dysfunction-associated fatty liver disease(MAFLD) has emerged as a globally significant liver disorder due to its continuously rising prevalence. Our aim is to investigate the clinical value of ultrasound-measured visceral fat thickness (VFT) and five scoring systems—fatty liver index (FLI), hepatic steatosis...
Min Qiao, Ping-Ping Lu, Xuan-Xuan Sun et al.· Scientific Reports· 0 citations
BACKGROUND
Accurate assessment of hepatic steatosis is crucial for preoperative risk stratification in patients with liver tumors. However, the diagnostic performance of the noninvasive ultrasound-derived fat fraction (UDFF) remains uncertain, where tissue heterogeneity can impair measurement reliability. Using histopa...
D. Jiang, Chao Qu, Dan-Dan Jiang et al.· Abdominal Radiology· 0 citations