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Development and Validation of an Artificial Intelligence-Based Diagnostic Model for Sarcopenia

Development and Validation of an Artificial Intelligence-Based Diagnostic Model for Sarcopenia

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122932
Enrollment
Unknown
Registered
2026-04-20
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sarcopenia

Interventions

Gold Standard:Diagnostic criteria of the Sarcopenia International Working Group (IWG)
Index test:An artificial intelligence-based diagnostic model for sarcopenia constructed using chest or abdominal CT images and clinical characteristics

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Hospitalized patients admitted to the Department of Geriatrics, Beijing Hospital, between August 2019 and November 2025; 2.Aged 65 years or older; 3.Underwent chest or abdominal CT examination during hospitalization, with image quality adequate for muscle parameter measurement; 4.Complete clinical data available, including age, sex, body mass index (BMI), and underlying diseases.

Exclusion criteria

Exclusion criteria: 1.Poor CT image quality that does not allow accurate measurement of muscle parameters; 2.Incomplete clinical data or missing imaging data.

Design outcomes

Primary

MeasureTime frame
Sarcopenia diagnostic result (AI model);Sarcopenia diagnostic result (IWG criteria);—

Countries

China

Contacts

Public ContactWu Wenbin

Beijing Hospital

firestone1985@126.com+86 10 8513 2912

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026