Status:
COMPLETED
Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis
Lead Sponsor:
Sun Yat-sen University
Conditions:
Orthopedic Disorder of Spine
Artificial Intelligence
Eligibility:
10-22 years
Phase:
NA
Brief Summary
Traditional school scoliosis screening approaches remains debatable due to unnecessary referal and excessive cost. Deep learning algorithms have proven to be powerful tools for the detection of multip...
Eligibility Criteria
Inclusion
- Patients included both pretreatment back photos and whole spine (C7-S1) standing X-ray or ultrasound images (for healthy population); 2. All the documents are clear to be recognized by naked eyes; 3. Back photos and are taken at the same time (not \>1month); 4.Patients were consider as idiopathic scoliosis according to clinical photos.
Exclusion
- 1\. Patients were considered as non-idiopathic scoliosis for obvious abnormal features of trunck,such as Cafe-au-Lait spots for neurofibromatosis, Spider finger, Abnormal hair spot of back, pelvic tilt, lower limb discrepancy and so on; 2.The taken time between back photo and X-ray or ultrasound was more than 1month; 3.The clinical photos and images were not clear; 4. The X-ray film or ultrasound images not including whole spine (C7-S1).
Key Trial Info
Start Date :
June 1 2018
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
July 30 2018
Estimated Enrollment :
500 Patients enrolled
Trial Details
Trial ID
NCT03773458
Start Date
June 1 2018
End Date
July 30 2018
Last Update
December 12 2018
Active Locations (1)
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1
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China, 510000