Predicting Radiological Extranodal Extension in Oropharyngeal Carcinoma Patients Using AI
NCT05565313 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 900
Last updated 2025-08-14
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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