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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

NCT06356441 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 10400

Last updated 2024-04-10

No results posted yet for this study

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.

Conditions

  • Artificial Intelligence Supported Image Reviewing

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.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Fang-Yun Xie · Sun Yat-sen University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-30
Primary Completion
2026-04-30
Completion
2026-04-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06356441 on ClinicalTrials.gov