Background & Aims: Ultrasound-guided attenuation parameter (UGAP) is recently developed for noninvasive evaluation of steatosis. However, reports on its usefulness in clinical practice are limited. This prospective multicenter study analyzed the diagnostic accuracy of grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF), a noninvasive method with high accuracy, in a large cohort.
Methods: Altogether, 1010 patients with chronic liver disease who underwent MRI-PDFF and UGAP were recruited and prospectively enrolled from 6 Japanese liver centers. Linearity was evaluated using intraclass correlation coefficients between MRI-PDFF and UGAP values. Bias, defined as the mean difference between MRI-PDFF and UGAP values, was assessed by Bland-Altman analysis. UGAP cutoffs for pairwise MRI-PDFF-based steatosis grade were determined using area under the receiver-operating characteristic curve (AUROC) analyses.
Results: UGAP values were shown to be normally distributed. However, because PDFF values were not normally distributed, they were log-transformed (MRI-logPDFF). UGAP values significantly correlated with MRI-logPDFF (intraclass correlation coefficient = 0.768). Additionally, Bland-Altman analysis showed good agreement between MRI-logPDFF and UGAP with a mean bias of 0.0002% and a narrow range of agreement (95% confidence interval [CI], -0.015 to 0.015). The AUROCs for distinguishing steatosis grade ≥1 (MRI-PDFF ≥5.2%), ≥2 (MRI-PDFF ≥11.3%), and 3 (MRI-PDFF ≥17.1%) were 0.910 (95% CI, 0.891-0.928), 0.912 (95% CI, 0.894-0.929), and 0.894 (95% CI, 0.873-0.916), respectively.
Conclusions: UGAP has excellent diagnostic accuracy for grading steatosis with reference to MRI-PDFF. Additionally, UGAP has good linearity and negligible bias, suggesting that UGAP has excellent technical performance characteristics that can be widely used in clinical trials and patient care. (UMIN Clinical Trials Registry, Number: UMIN000041196).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cgh.2021.11.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Accuracy of Ultrasound-Guided Attenuation Parameter for Diagnosing Hepatic Steatosis.
Ultrasound Q
March 2025
UPMC Department of Radiology, Pittsburgh, PA.
The purpose of this study is to investigate the diagnostic accuracy of a new noninvasive imaging technique, ultrasound-guided attenuation parameter (UGAP), in diagnosing hepatic steatosis. This single-center retrospective study included 81 UGAP studies performed to guide therapy between July 2022 and June 2023 at a large academic medical center. Patients with either liver biopsy or Magnetic resonance-based proton-density fat fraction (MRI-PDFF) within 12 months of US-UGAP imaging, irrespective of order, were included.
View Article and Find Full Text PDFPerformance of ultrasound-guided attenuation parameter and 2D shear wave elastography in patients with metabolic dysfunction-associated steatotic liver disease.
Eur Radiol
October 2024
Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via del Vespro 129, Palermo, 90127, Italy.
Purpose: To assess the performance and the reproducibility of ultrasound-guided attenuation parameter (UGAP) and two-dimensional shear wave elastography (2D-SWE) in patients with biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD).
Methods: This study included consecutive adult patients with MASLD who underwent ultrasound with UGAP, 2D-SWE and percutaneous liver biopsy. The median values of 12 consecutive UGAP measurements were acquired by two independent radiologists (R1 and R2).
Impact of Respiratory Motion on the Quantification of Pediatric Hepatic Steatosis Using Two Different Ultrasonography Machines.
Yonsei Med J
October 2024
Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul, Korea.
Purpose: This study aimed to investigate the effect of respiratory motion on hepatic steatosis quantification using ultrasound attenuation imaging (ATI) or ultrasound-guided attenuation parameter (UGAP) in pediatric patients.
Materials And Methods: Pediatric patients (aged ≤18 years) who underwent liver ultrasonography (US) with ATI or UGAP between May 2022 and February 2023 were included retrospectively. Median, interquartile range (IQR), and IQR/median values were calculated in both free-breathing (FB) and breath-holding (BH) states.
Altered probe pressure and body position increase diagnostic accuracy for men and women in detecting hepatic steatosis using quantitative ultrasound.
Eur Radiol
September 2024
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Objectives: To evaluate the diagnostic performance of ultrasound guided attenuation parameter (UGAP) for evaluating liver fat content with different probe forces and body positions, in relation to sex, and compared with proton density fat fraction (PDFF).
Methods: We prospectively enrolled a metabolic dysfunction-associated steatotic liver disease (MASLD) cohort that underwent UGAP and PDFF in the autumn of 2022. Mean UGAP values were obtained in supine and 30° left decubitus body position with normal 4 N and increased 30 N probe force.
Correlation and Performance of three Ultrasound Techniques to Stage Hepatic Steatosis in Nonalcoholic Fatty Liver Disease.
Curr Med Imaging
February 2024
Department of Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
Aims: There is a need to assess the severity of steatosis caused by Nonalcoholic Fatty Liver Disease (NAFLD). We explored new techniques in which Ultrasound-Guided Attenuation Parameter (UGAP), Liver Steatosis Analysis (LiSA) and Hepatorenal Index (HRI) can be applied to the grading of steatosis.
Materials And Methods: We enrolled 120 patients with or without NAFLD in this study who underwent UGAP, LiSA, HRI and controlled attenuation parameter (CAP) measurements in our hospital from September 2022 to April 2023.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!