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SLAP Injury of the Shoulder Joint: Application Value of Deep Learning in Diagnosis

NCT04953026 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2021-07-07

No results posted yet for this study

Summary

This study intends to study the shoulder SLAP injury through deep learning technology and establish a deep learning model through the combination of axial and oblique coronal images to establish a deep learning method that can accurately identify and grade shoulder SLAP injury.

Conditions

  • Superior Labrum From Anterior to Posterior Injuries

Interventions

DIAGNOSTIC_TEST

Diagnositic test

The results of shoulder arthroscopy were taken as the gold standard, and MRI examination was taken as the research object.

Sponsors & Collaborators

  • Peking University Third Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-10-01
Primary Completion
2022-06-01
Completion
2022-07-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04953026 on ClinicalTrials.gov