Using ultrasound and AI to diagnose sarcopenia in older adults
An Artificial Intelligence Assessment System for Risk Grading of Sarcopenia Based on Ultrasonographic Multidimensional Data
This study is testing if using ultrasound and artificial intelligence can help doctors better diagnose muscle loss in older adults to improve their health and quality of life.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1500 (estimated) |
| Ages | N/A to 100 Years |
| Sex | All |
| Sponsor | West China Hospital Academic / other |
| Locations | 1 site (Chengdu, Sichuan) |
| Trial ID | NCT06199856 on ClinicalTrials.gov |
What this trial studies
This study aims to develop an artificial intelligence-assisted diagnostic model for sarcopenia using ultrasound images. It focuses on creating classification and regression models that can aid in diagnosing sarcopenia, estimating patient strength, and performing other related functions based on ultrasound data. Sarcopenia is a significant concern for older adults, as it involves the loss of muscle mass and function, which can worsen the prognosis of various diseases. By identifying sarcopenia early, the study seeks to improve the quality of life for older individuals.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals over 50 years of age who exhibit signs of suspected sarcopenia.
Not a fit: Patients with amputations, severe edema, or other significant health issues that prevent participation may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to earlier and more accurate diagnoses of sarcopenia, allowing for timely interventions that enhance patient quality of life.
How similar studies have performed: While the use of ultrasound in diagnosing sarcopenia is gaining interest, this specific AI-assisted approach is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * \> 50 years of age * Patients with suspected sarcopenia, for example, who needed assistance with walking, rising from a chair, or climbing stairs; recently had a history of falls walking; recent unintentional weight loss Exclusion Criteria: * Amputated arm or leg * Severe oedema (oedema higher than knee level) * Implantable pacemaker * Impaired consciousness, poor general health, or other reasons that would prevent the individual from completing the study
Where this trial is running
Chengdu, Sichuan
- Xinyi Tang — Chengdu, Sichuan, China (Recruiting)
Study contacts
- Principal investigator: Xinyi Tang, Dr. — Department of Medical Ultrasound, West China Hospital, Sichuan University
- Study coordinator: Xinyi Tang, Dr.
- Email: tangxinyi1996@outlook.com
- Phone: +8615680819215
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.