Status:
COMPLETED
Accuracy of Deep-learning Algorithm for Detection and Risk Stratification of Lung Nodules
Lead Sponsor:
Chinese University of Hong Kong
Collaborating Sponsors:
IBM China/Hong Kong Limited
Conditions:
Osteogenic Sarcoma
Eligibility:
All Genders
Up to 18 years
Brief Summary
Osteosarcoma is regarded as most common malignant bone tumor in children and adolescents. Approximately 15% to 20% of patients with osteosarcoma present with detectable metastatic disease, and the maj...
Eligibility Criteria
Inclusion
- Patients with histologically confirmed osteogenic sarcoma
- With an age younger than 18 years old.
- Patients who underwent thin-section thoracic CT examinations for pre-treatment staging and/or subsequent post-treatment follow-up.
- With suspicious lung nodules detected on thoracic CT images.
Exclusion
- Patients with concurring lesions that may influence analysis of lung nodules.
Key Trial Info
Start Date :
November 6 2019
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
January 31 2024
Estimated Enrollment :
100 Patients enrolled
Trial Details
Trial ID
NCT04022512
Start Date
November 6 2019
End Date
January 31 2024
Last Update
February 7 2024
Active Locations (1)
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1
The Chinese University of Hong Kong, Prince of Wale Hospital
Hong Kong, Shatin, Hong Kong