Actively Recruiting
Development and Diagnostic Evaluation of a Novel Quantifiable Ultrasound Based Multi-parametric Biomarker for Hepatic Steatosis in Patients With Suspected MASLD (LYNX)
Led by ContextVision AB · Updated on 2025-12-08
110
Participants Needed
1
Research Sites
8 weeks
Total Duration
On this page
Sponsors
C
ContextVision AB
Lead Sponsor
U
University of Washington
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are developing a new ultrasound-based method to measure the percentage of fat in the liver, focusing on people with metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD). This study aims to provide a non-invasive and more accessible alternative to current tests like MRI or biopsy, which can be costly or invasive. The goal is to support early detection and monitoring of liver health, especially in individuals with obesity, diabetes, high blood pressure, or high cholesterol. The study uses advanced ultrasound devices including the Verasonics NXT Data Acquisition System, Philips EPIQ Elite, EchoSense FibroScan, and Philips 3T Ingenia Elition MRI system to capture detailed imaging and radiofrequency data. Participants include healthy adults and those diagnosed or suspected of having MASLD or meeting high-risk cardiometabolic criteria. The research collects various ultrasound parameters and MRI data to develop and train a new quantifiable ultrasound biomarker. Participants will undergo multiple imaging tests and clinical evaluations to gather necessary data for the study. The main outcome is comparing the new ultrasound biomarker to the MRI proton density fat fraction over one year. Secondary measures include comparing individual ultrasound parameters and shear wave elastography with MRI techniques. The study involves healthy volunteers and patients, with follow-up visits during the year to monitor and assess liver fat and stiffness. The total participation duration aligns with the one-year outcome measurement period.
CONDITIONS
Brief Title
Development of a Quantifiable Ultrasound Biomarker for Hepatic Steatosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 18 to 75 years
- Consent to participate in the study
- Diagnosed or suspected MASLD from the hepatology clinic, OR
- High-risk population meeting adult cardiometabolic criteria (diabetes, obesity with BMI 65 25 kg/m2, hypercholesterolemia, or hypertension)
- Healthy volunteers aged 18 to 75 years with no suspicion of MASLD
- Absence of known pre-existing metabolic or liver-related conditions in healthy volunteers
You will not qualify if you...
- Pregnancy or nursing
- Contraindications to MRI such as severe claustrophobia, pacemaker, or metallic/mechanical implants
- Acute illness or cognitive impairment preventing cooperation with imaging procedures
- BMI greater than 35 kg/m2
- History of excessive alcohol use or drug use in the past 2 years
- Known acute or chronic hepatitis or other liver disease causes
- Presence of congenital hepatic anomalies
- Known cirrhosis
- Known active cancer
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person) for screening and enrollment
Duration - Up to 1 year
Participants undergo multiple imaging procedures using advanced ultrasound and MRI devices to collect data for the development of a new ultrasound biomarker for liver steatosis.
1 to 2 visits depending on assessment needs
Trial Site Locations
Total: 1 location
1
University of Washington
Seattle, Washington, United States, 98195
Actively Recruiting
Research Team
L
Laura Sissons-Ross Research Manager
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
Similar Trials
Frequently Asked Questions
Have more questions? Get in touch with our team for quick support
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here