Assessment System for Sarcopenia Based on Ultrasonographic Data
An Artificial Intelligence Assessment System for Risk Grading of Sarcopenia Based on Ultrasonographic Multidimensional Data
1 other identifier
observational
1,500
1 country
1
Brief Summary
- 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2020
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2020
CompletedFirst Submitted
Initial submission to the registry
December 28, 2023
CompletedFirst Posted
Study publicly available on registry
January 10, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2028
March 14, 2025
March 1, 2025
7.2 years
December 28, 2023
March 11, 2025
Conditions
Outcome Measures
Primary Outcomes (2)
Death
Within 2 years after the initial ultrasound examination
Diagnosed sarcopenia
Skeletal muscle mass index (SMI)\<7 (men) /5.7 (women)kg/m2 (measured by BIA) and gait speed\<1m/s or grip strength\<28kg (men)/18kg (women)
Within 2 years after the initial ultrasound examination
Study Arms (2)
Hospitalized older adults at risk of sarcopenia
Community-dwelling older adults at risk of sarcopenia
Interventions
ultrasound scan
Eligibility Criteria
The older adults with risk of sarcopenia
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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Xinyi Tang
Chengdu, Sichuan, China
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Xinyi Tang, Dr.
Department of Medical Ultrasound, West China Hospital, Sichuan University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Target Duration
- 2 Years
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
December 28, 2023
First Posted
January 10, 2024
Study Start
October 1, 2020
Primary Completion (Estimated)
December 1, 2027
Study Completion (Estimated)
December 1, 2028
Last Updated
March 14, 2025
Record last verified: 2025-03