Stanford Hospital
Stanford, California, 94305, United States
NCT Number: NCT05165446
The aim of this proposal is to investigate a novel imaging method to identify patients with non-alcoholic steatohepatitis (NASH) who are at risk for hepatocellular carcinoma (HCC).
This study is active but is not currently recruiting participants.
18 year–99 year
All sexes
Observational
Stanford, California, 94305, United States
NASH is the most common cause of chronic liver disease, and it is estimated that 40-50% of patients with obesity and T2DM have NASH. NASH can lead to HCC with the risk increasing 2-3 fold in patient with poor glycemic control. Unless caught early, HCC has a poor prognosis with no effective therapies. A unique feature of HCC in NASH is that it often arises at a pre-cirrhotic stage, and the prognosis is often dismal. There are no current surveillance strategies for these pre-cirrhotic patients. Based on our animal models and pilot patient studies, we developed a novel paradigm that linked liver matrix changes to a more aggressive HCC phenotype. Our goal is to develop an imaging-based surveillance tool that will identify early matrix changes that may predispose to HCC.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: For individual patients: duration of the study 8 weeks (including lab, scheduling the MR and 4w post MR period).
Safety:MRE evaluation of the liver for stiffness is a standard of care test. We do not expect issues as this is a non-invasive technique. Our MR may require a longer session compared to the traditional MRE (40 minutes of scan time for multifrequency MRE, as compared to 25 minutes for conventional MRE). However, all issues, patient symptoms will be recorded.
Technical Feasibility: The MRE algorithm we will use has previously been shown to produce data from a different scanner platform, across all frequencies. Feasibility of multifrequency MRE will be assessed by descriptive summary of technical success and image quality for each of the individual reconstructed MRE datasets (stiffness, elasticity, and viscosity). Mean and standard deviation for the MRE outcome variables viscosity elasticity and stiffness will be presented and tested for the difference in means between the 2 groups by way of ANOVA, and if a difference is found, followed by Tukey's test.
Time frame: For individual patients: duration of the study 8 weeks
assess correlation to liver injury (AST, ALT) assess correlation to glycemic control HbA1c
Natalie Torok
Other
Novel MRE Technique to Assess Tissue Viscoelasticity as a Risk Factor for Liver Cancer
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