The purpose of this study is to evaluate diagnostic performance of quantitative ultrasonographic parameters for the assessment of hepatic steatosis with find optimal cut-off values in patients with non-alcoholic fatty liver disease using magnetic resonance imaging proton density fat fraction (MRI-PDFF) and MR spectroscopy as the reference standard.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
173
In each patients, measurements of tissue attenuation imagine (TAI), tissue scatter-distribution imaging (TSI) parameters, hepatorenal index (EzHRI) will be performed
Seoul National University Hospital
Seoul, South Korea
Diagnostic performance (area under the ROC curve (AUC)) of quantitative US (QUS) parameters (TAI, TSI) for detection of fatty liver (MRI-PDFF 5 percent)
Reference standard: MRI-proton density fat fraction or MR spectroscopy value (5 percent) \- ROC curve analysis of each QUS parameters (TAI, TSI, EzHRI) for the detection of MRI-PDFF \>5 percent patients
Time frame: 1 month
Diagnostic performance (area under the ROC curve (AUC)) of QUS parameters (TAI, TSI) for detection of moderate fatty liver (MRI-PDFF 10, 20 percent)
Reference standard: MRI-PDFF or MR spectroscopy value (10 percent, 15 percent, 15 percent, 20 percent, 25 percent) \- ROC curve analysis of each QUS parameters (TAI, TSI, EzHRI) for the detection of MRI-PDFF \>10, \>20 percent patients
Time frame: 1 month
Correlation of QUS parameters and MR fat fraction
reference standard: MRI-PDFF or MR spectroscopy value (percent) \- spearman's rank correlation of QUS parameters (TAI, TSI) values with MR fat fraction(percent)
Time frame: 1 month
Intra-observer agreement of quantitative US parameters
Intraclass correlation coefficient (ICC), coefficient of variation (CV) of QUS parameter values (TAI value, TSI value)
Time frame: 1 day
Correlation between estimated fat fraction from deep learning model and MRI-proton density fat fraction
pearson correlation coefficient (r) between estimated fat fraction and MRI-proton density fat fraction
Time frame: 1 month
Diagnostic performance (area under the ROC curve (AUC)) of deep leraning model using QUS parametric maps for detection fatty liver (10 percent, 15 percent, 15 percent, 20 percent)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Reference standard: MRI-proton density fat fraction (10 percent, 15 percent, 20 percent, 20 percent)
Time frame: 1 month
Diagnostic performance (area under the ROC curve (AUC)) of deep leraning model using QUS parametric maps for detection fatty liver (5 percent)
Reference standard: MRI-proton density fat fraction (5 percent)
Time frame: 1 month