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
Not yet recruiting
- Conditions
- Artificial Intelligence Supported Image Reviewing
- Interventions
- Diagnostic Test: AI
- Registration Number
- NCT06356441
- Lead Sponsor
- Sun Yat-sen University
- 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
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 10400
Inclusion Criteria
- Patients with treatment naive nasopharyngeal carcinoma who had finished radiotherapy for 6 months or more
- The previous magnetic resonance imaging examination had showed complete remission in the primary site
- Images are acquired using a 3T magnetic resonance imaging device, including unenhanced T1-weighted and T2-weighted sequences and contrast-enhanced T1-weighted sequences
Exclusion Criteria
- Patients are enrolled in this study for a specific magnetic resonance imaging scan and not for subsequent follow-up magnetic resonance imaging scans.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description AI-supported reading AI The AI model predicts the incidence of local recurrence. If the incidence is below 60%, one radiologist will interpret the MR images. If the incidence is above 60%, two radiologists will interpret the MR images. The radiologists will be provided with the predictive incidence and contours in their interpretation if desired. If two radiologists provide contradictory interpretations, a third radiologist will participate in the discussion to reach a consensus.
- Primary Outcome Measures
Name Time Method sensitivity through study completion, an average of 2 years
- Secondary Outcome Measures
Name Time Method total time of interpretation for all the MR images through study completion, an average of 2 years the rate of discussion with a third radiologist through study completion, an average of 2 years the sensitivity in the subgroups of different rT-stage through study completion, an average of 2 years the incidence of cases whose recurrent risks and contours cannot be provided by the AI model through study completion, an average of 2 years negative predictive value through study completion, an average of 2 years the detection rate of local recurrence in the AI-supported reading group through study completion, an average of 2 years positive predictive value through study completion, an average of 2 years specificity through study completion, an average of 2 years
Trial Locations
- Locations (1)
Sun Yat-Sen University Cancer Center
🇨🇳Guangzhou, Guangdong, China