Assessment System for Sarcopenia Based on Ultrasonographic Data

Recruiting now

Conditions studied: Sarcopenia, Ultrasound

In brief

1. To develop an artificial intelligence assisted diagnostic model for sarcopenia based on ultrasound images; 2. To develop artificial intelligence classification and regression models for auxiliary diagnosis of sarcopenia, patient strength estimation, and other functions based on ultrasound image data.

Key facts

Study ID

NCT06199856

Run by

West China Hospital

People needed

1500

Starts

2020-10-01

Expected to finish

2028-12-01

Last updated by the study team

2025-03-14

Who can join

Age: any, up to 100. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• > 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

You may not qualify if…

• 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 is running

• Xinyi Tang — Chengdu, Sichuan, China (enrolling)

Full record on ClinicalTrials.gov

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