Using ultrasound and AI to diagnose sarcopenia in older adults

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.