Predicting Radiological Extranodal Extension in Oropharyngeal Carcinoma Patients Using AI

NCT05565313 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 900

Last updated 2025-08-14

No results posted yet for this study

Summary

Development and validation of a model that predicts rENE from radiological imaging using annotated / labeled scans by means of deep learning

Conditions

  • Head and Neck Carcinoma

Sponsors & Collaborators

  • Brigham and Women's Hospital

    collaborator OTHER
  • Princess Margaret Hospital, Canada

    collaborator OTHER
  • Maastricht Radiation Oncology

    lead OTHER

Principal Investigators

  • Frank Hoebers, PhD · Maastro

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-22
Primary Completion
2026-08-01
Completion
2026-08-01

Countries

  • United States
  • Canada
  • Netherlands

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 NCT05565313 on ClinicalTrials.gov