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Predicting Radiological Extranodal Extension in Oropharyngeal Carcinoma Patients Using AI

Study acronym: AI4rENE
StatusCompleted
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Trial completed Eligibility criteria expanded, about 8 words · Study description revised · Site details revised at 1 of 3 sites · 1 more Show 4 more changesShow less
    • Eligibility criteria expanded, about 8 words
    • Study description revised
    • Site details revised at 1 of 3 sites
    • Collaborators: details revised at 1 of 2 entries
  2. Primary and study completion dates: Apr 1, 2024 to Aug 1, 2026v3
  3. Primary and study completion dates: Aug 1, 2023 to Apr 1, 2024v2
  4. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
Development and validation of a model that predicts rENE from radiological imaging using annotated / labeled scans by means of deep learning
Trial Details
NCT Number NCT05565313
Lead Sponsor Maastricht Radiation Oncology
Collaborators: Brigham and Women's Hospital, Princess Margaret Hospital, Canada
Conditions Head and Neck Carcinoma
Enrollment 900 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov