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Clinical Trials/NCT03342703
NCT03342703
Completed
Not Applicable

Correlation of Ultrasound Based Measurements of Liver Stiffness and Steatosis With MRI

Stanford University2 sites in 1 country35 target enrollmentAugust 1, 2018

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Liver Steatoses
Sponsor
Stanford University
Enrollment
35
Locations
2
Primary Endpoint
Discriminatory value (AUC) of US in assessing liver fat content
Status
Completed
Last Updated
5 years ago

Overview

Brief Summary

The investigators will assess the ability of ultrasound (US) to measure liver stiffness (cirrhosis) and liver fat content (steatosis).

Detailed Description

Non-invasive monitoring of liver fibrosis using magnetic resonance imaging (MRI) can help determine which patients will most benefit from interventional therapies to help reverse the condition. Similarly, quantitative assessment of liver fat content using MRI can assist physicians in identifying patients at risk for hepatic steatohepatitis. Due to the widespread dissemination of US machines and their relative lower cost compared to other imaging modalities, e.g. MRI, the ability of US to assess these parameters widens diagnostic availability. Patients who have undergone an MRI exam to assess liver stiffness (cirrhosis) and/or liver fat content (steatosis) will be asked to undergo an US exam to assess the same parameters. The cirrhosis and steatosis measurements obtained from both exams will be compared. If US-based measurements of liver stiffness and/or liver fat content are shown to be reproducible and accurate when compared to MRI values (will be used as the gold standard), US may become the first-line diagnostic test for these liver conditions.

Registry
clinicaltrials.gov
Start Date
August 1, 2018
End Date
December 31, 2020
Last Updated
5 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Aya Kamaya

Associate Professor of Medicine

Stanford University

Eligibility Criteria

Inclusion Criteria

  • participants who have a clinical indication for a standard of care MRI exam that included assessment of the liver
  • participant is at least 18 years of age

Exclusion Criteria

  • Participants unable to take part in the decision making process on whether to consent to the trial
  • Patients with previous chemoembolization or other focal liver therapies to the liver (\* NOTE: for liver transplant patients, this criterion is only applicable to the transplanted liver)

Outcomes

Primary Outcomes

Discriminatory value (AUC) of US in assessing liver fat content

Time Frame: an estimated average of 30 minutes

Discriminatory value (the ability of the test to diagnose disease from healthy) will be calculated using nonparametric receiver operating characteristic (ROC) curve analysis. Sensitivity (i.e. true positive rate: the ability of a test to correctly identify patients with the disease being investigated) is plotted on the y axis and 1-specificity (i.e. false positive rate: the test incorrectly identifies patients who do not have the disease being investigated as having the disease) will be plotted on the x-axis. Cutoff points of US liver fat content values will be chosen to create the graph of sensitivity versus 1-specificity, i.e. the ROC curve, and the area under the curve (AUC) is used to determine how well US discriminates patients with liver fat content from patients without liver fat content. The closer the AUC gets to 1, the more discriminatory the test. An AUC=0.5 is a test that is right 50% of the time, and is no better than flipping a coin.

Discriminatory value (AUC) of US in assessing liver stiffness

Time Frame: an estimated time of 30 minutes

Discriminatory value (the ability of the test to diagnose disease from healthy) will be calculated using nonparametric receiver operating characteristic (ROC) curve analysis. Sensitivity (i.e. true positive rate: the ability of a test to correctly identify patients with the disease being investigated) is plotted on the y axis and 1-specificity (i.e. false positive rate: the test incorrectly identifies patients who do not have the disease being investigated as having the disease) will be plotted on the x-axis. Cutoff points of US liver stiffness values will be chosen to create the graph of sensitivity versus 1-Specificity, i.e. the ROC curve, and the area under the curve (AUC) is used to determine how well US discriminates patients with liver stiffness from patients without liver stiffness. The closer the AUC gets to 1, the more discriminatory the test. An AUC=0.5 is a test that is right 50% of the time, and is no better than flipping a coin.

Secondary Outcomes

  • US Elastography Stiffness(an estimated average of 30 minutes)

Study Sites (2)

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