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Research on the measurement of true ap-view and supraspinatus outlet position X-ray of acromion connecting angle range based on convolutional neural network goniometer

Research on the measurement of true ap-view and supraspinatus outlet position X-ray of acromion connecting angle range based on convolutional neural network goniometer

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300067453
Enrollment
Unknown
Registered
2023-01-09
Start date
2023-01-09
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Rotator Cuff Tear

Interventions

Group 1 (Using a convolution neural network goniometer to assist the shooting):None
Group 2 (The true position of shoulder joint and the outlet position of supraspinatus muscle were photographed with the aid of a convolution neural network goniometer):None

Sponsors

Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Over 18 years of age, rotator cuff injury or dislocation of the shoulder joint should be taken in the anterior position of the shoulder joint and the outlet position of the supraspinatus muscle, able to stand and rotate the upper body easily.

Exclusion criteria

Exclusion criteria: Unwilling to participate in the experiment.

Design outcomes

Primary

MeasureTime frame
Acromion line Angle range;

Countries

China

Contacts

Public ContactRui Yang

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

mengk6@mail2.sysu.edu.cn+86 13694200667

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026