Using Multimodal Ultrasound to Check Muscle Mass in Metabolic Disease Patients
Official title: A Clinical Study on Using Multimodal Ultrasound to Assess Muscle Mass in Metabolic Diseases
Run by Zhangzhou Municipal Hospital · NCT07836088 · Data updated 2026-11-12
This study tests whether a multimodal ultrasound approach can accurately measure muscle mass in people with metabolic syndrome, obesity, sarcopenia, or type 2 diabetes.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 320 (estimated) |
| Sponsor | Zhangzhou Municipal Hospital Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Zhangzhou, Fujian) |
| Status | Recruiting |
| Started | July 1, 2023 |
| Main results expected | August 31, 2027 |
| Study ends | December 31, 2027 |
| Registry record updated | September 23, 2026 |
| Trial ID | NCT07836088 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with metabolic syndrome, obesity, sarcopenia, or type 2 diabetes, matched by age and sex, who can undergo ultrasound and DXA.
✕Probably not a fit
Patients whose muscle changes are not detectable by ultrasound or who cannot complete the imaging and follow-up assessments may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Researchers will use advanced ultrasound methods that combine B-mode imaging, shear-wave elastography, and microvascular imaging, plus AI analysis, to measure muscle size, stiffness, and fat infiltration in adults with metabolic diseases. The study will compare ultrasound findings with clinical and biochemical data and assess measurement reliability across two sonographers. Data will be analyzed to identify diagnostic thresholds and potential links between muscle metrics and metabolic control. Participation includes imaging, blood tests, physical function tests, and follow-up assessments at Zhangzhou Hospital.
Why it matters
Potential benefit: If successful, this approach could enable bedside, radiation-free monitoring of muscle health in metabolic diseases.
How similar studies have gone: Previous work in related imaging modalities shows promise, but multimodal ultrasound with AI is a novel approach in this specific patient population.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosis of metabolic syndrome according to the Chinese Consensus on Diagnosis and Management of Metabolic Syndrome (2020 edition), meeting at least 3 of the following 5 criteria: abdominal obesity, hypertension, hyperglycemia, hypertriglyceridemia, and low HDL-C. * Diagnosis of type 2 diabetes according to the ADA 2023 diagnostic criteria, with disease duration of at least 1 year. * Body mass index (BMI) \>= 28 kg/m², without hypertension, hyperglycemia, dyslipidemia, or other metabolic abnormalities. * Healthy volunteers without metabolic diseases, muscle diseases, chronic liver or kidney dysfunction, malignancies, cardiovascular diseases, or neurological disorders, and without long-term use of corticosteroids or other medications affecting muscle metabolism. * Age and sex matched across all four groups. * Willing and able to provide written informed consent and comply with all study procedures including ultrasound examination, DXA scan, and follow-up visits. Exclusion Criteria: * Severe hepatic or renal failure, malignancy, stroke, severe cardiovascular disease, or autoimmune diseases. * Long-term use of corticosteroids, muscle relaxants, or other medications affecting muscle metabolism. * Presence of movement disorders, joint diseases, muscle injury, muscular dystrophy, or other conditions affecting muscle function. * Pregnancy or lactation. * Inability to cooperate with ultrasound examination, DXA scanning, or follow-up assessments. * Any other condition that, in the opinion of the investigator, would interfere with the study objectives or participant safety.
Where it's running
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Zhangzhou Hospital, Fujian Medical University
Zhangzhou, Fujian, China Recruiting
Study contacts
- Principal investigator: Wenting Jiang, Master's — Department of Ultrasound Medicine, Zhangzhou Hospital Affiliated to Fujian Medical University, China
- Study coordinator: Fahui Lu, Master's
- Email: 18750745115@163.com
- Phone: 0596-2082027
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.