Status:
UNKNOWN
Deep-learning Based Classification of Spine CT
Lead Sponsor:
Shanghai 10th People's Hospital
Collaborating Sponsors:
Third Affiliated Hospital, Sun Yat-Sen University
Conditions:
Surgical Procedure, Unspecified
Eligibility:
All Genders
18-65 years
Brief Summary
It is time-consuming for spine surgeons or radiologists to conduct manual classifications of spinal CT, which may also be correlated with high inter-observer variance. With the development of computer...
Detailed Description
Computer tomography (CT) is one of the most important imaging tool to assist the diagnostic and treatment of spinal disease. Classification of specific targets (e.g. individuals, lesions, etc.) is one...
Eligibility Criteria
Inclusion
- Inclusion Criteria:
- \- spinal thin layer CT
- Exclusion Critera:
- medals or other implants induce artifact
- poor image quality
Exclusion
Key Trial Info
Start Date :
February 22 2019
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
May 1 2020
Estimated Enrollment :
500 Patients enrolled
Trial Details
Trial ID
NCT03790930
Start Date
February 22 2019
End Date
May 1 2020
Last Update
May 12 2020
Active Locations (1)
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1
Shanghai Tenth People's Hospital
Shanghai, Shanghai Municipality, China, 200072