Understanding Liver Disease in Children with Advanced Ultrasound
This research study is looking at new ways to use ultrasound to check for a liver condition called MASLD (Metabolic Dysfunction-Associated Steatotic Liver Disease) in children. MASLD means there's too much fat in the liver. Researchers want to see how well these new ultrasound methods work compared to established methods like MRI. You would have an MR exam, an abdominal US exam (possibly with a small handheld device), a blood draw, and physical measurements. You would also fill out questionnaires about your health and lifestyle. The study aims to develop and test these advanced ultrasound techniques over 5 years to help improve how MASLD is detected and monitored in children. This study is for children aged 9 to 18 years who have risk factors for MASLD.
- Study design
- This is an observational study with a planned enrollment of 120 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would undergo an MR exam, an abdominal ultrasound, a blood draw, physical measurements, and complete questionnaires.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary goal of developing and evaluating models for liver fat estimation will be measured at 5 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Quantitative Ultrasound to Assess Steatotic Liver Disease in Children
At a glance
Conditions
NCT06706856
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
University of California San Diego
La Jolla, Californiastudy coordinator listed
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Jeffrey B Schwimmer, MD · PRINCIPAL_INVESTIGATOR · University of California, San Diego
- Claude B Sirlin, MD · PRINCIPAL_INVESTIGATOR · University of California, San Diego
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Want this trial checked against your situation?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Development and Evaluation of models for liver fat estimation.5 years
We plan to develop and evaluate models for estimating liver fat fraction and classifying the presence or absence of steatotic liver disease using QUS data.