Application of Mobile DR in the Diagnosis of Bone Trauma in High Cold Environment
Study Details
Study Description
Brief Summary
In the high cold environment, mobile digital radiography (DR) is used to collect the imaging of bone injury patients, and the artificial intelligence diagnosis module is used to diagnose the injury. The quality of images obtained by mobile or conventional DR and the consistency between artificial intelligence and pure artificial diagnosis will be analyzed respectively. Finally, the application value of mobile DR loaded with artificial intelligence diagnosis function in high cold environment is determined.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Center A Study center A that observe cohort populations (sample size=400). |
Diagnostic Test: digital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
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Center B Study center B that observe cohort populations (sample size=400). |
Diagnostic Test: digital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
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Center C Study center C that observe cohort populations (sample size=400). |
Diagnostic Test: digital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
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Center D Study center D that observe cohort populations (sample size=400). |
Diagnostic Test: digital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
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Center E Study center E that observe cohort populations (sample size=400). |
Diagnostic Test: digital radiography (DR)
Patients with bone injury received routine and mobile DR sequential examination.
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Outcome Measures
Primary Outcome Measures
- DR image evaluation using image quality rating scale. [Immediately after inclusion in the study.]
To evaluate the imaging quality of mobile DR using image quality rating scale.
- Difference of fracture detection rate (sensitivity and specificity) between artificial intelligence and expert diagnosis. [Immediately after the diagnosis is completed.]
To analyze the difference of fracture detection rate (sensitivity and specificity) between artificial intelligence and expert diagnosis.
Eligibility Criteria
Criteria
Inclusion Criteria:
- Patients with new bone injury
Exclusion Criteria:
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Life threatening.
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Head injury and fracture.
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There are congenital malformations in the bone injury site.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Center A | Beijing | Beijing | China | |
2 | Xucheng He | Neimeng | China | ||
3 | Center C | Xinjiang | China | ||
4 | Center | Xizang | China |
Sponsors and Collaborators
- Rongrong Hua
Investigators
- Study Chair: Guisheng Wang, Doctor, Third center of PLA General Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- DR001