Spots Global Cancer Trial Database for 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
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Trial Identification
Brief Title: 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
Official Title: 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
Study ID: NCT06356441
Interventions
Study Description
Brief 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.
Detailed Description:
Eligibility
Minimum Age:
Eligible Ages: CHILD, ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
Contact Details
Name: Fang-Yun Xie
Affiliation: Sun Yat-sen University
Role: PRINCIPAL_INVESTIGATOR
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