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NOT YET RECRUITING
NCT06356441
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
Sponsor: Sun Yat-sen University
View on ClinicalTrials.gov
Summary
The aim of this randomized controlled study is to investigate whether the previously developed artificial intelligence model can triage post-radiotherapy magnetic resonance images of patients with nasopharyngeal carcinoma and assist radiologists in their interpretation.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
10400
Start Date
2024-04
Completion Date
2026-04
Last Updated
2024-04-10
Healthy Volunteers
No
Interventions
DIAGNOSTIC_TEST
AI
An artificial intelligence model predicts the risk and contours of local recurrence for MR images and triages them before radiologists interpret them.
Locations (1)
Sun Yat-Sen University Cancer Center
Guangzhou, Guangdong, China