Predicting Radiological Extranodal Extension in Oropharyngeal Carcinoma Patients Using AI
AI4rENE
1 other identifier
observational
900
3 countries
3
Brief Summary
Development and validation of a model that predicts rENE from radiological imaging using annotated / labeled scans by means of deep learning
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2022
Longer than P75 for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 22, 2022
CompletedFirst Submitted
Initial submission to the registry
September 29, 2022
CompletedFirst Posted
Study publicly available on registry
October 4, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 1, 2026
August 14, 2025
August 1, 2025
4.4 years
September 29, 2022
August 11, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Prediction of rENE as labeled by the radiologist, using the AI model
The performance of the model will be evaluated in terms of discrimination through the Harrell's C-index and the area (AUC) under the receiver operator curve (ROC) in predicting rENE.
Baseline
Secondary Outcomes (2)
Overall Survival
5 years
Disease Free Survival
5 years
Eligibility Criteria
Inclusion criteria: * Non-metastatic (M0) node-positive HPV+ and HPV- (human papilloma virus) oropharyngeal carcinoma * Treated between 2008 to 2019 * Curative intent * Radiation only or concurrent chemoradiation * Modern treatment modality: IMRT / VMAT (Intensity Modulated RadioTherapy / Volumetric-Modulated Arc Therapy) * diagnostic/staging image scanning protocols available (contrast-enhanced CT with 2-3 mm slice thickness and/or MR (magnetic resonance) with 3 mm slice thickness) Exclusion criteria: * removal of lymph node (LN) (excisional biopsy or neck dissection \[ND\]) prior to staging CT/MR scan * no available imaging within 2 months prior to radiotherapy (RT)"
You may qualify if:
- Non-metastatic (M0) node-positive HPV+ and HPV- oropharyngeal carcinoma
- Treated between 2008 to 2019
- Curative intent
- Radiation only or concurrent chemoradiation
- Modern treatment modality: IMRT / VMAT
- diagnostic/staging image scanning protocols available (contrast-enhanced CT with 2-3 mm slice thickness and/or MR with 3 mm slice thickness)
You may not qualify if:
- removal of lymph node (LN) (excisional biopsy or neck dissection \[ND\]) prior to staging CT/MR scan
- no available imaging within 2 months prior to radiotherapy (RT)"
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Maastricht Radiation Oncologylead
- Brigham and Women's Hospitalcollaborator
- Princess Margaret Hospital, Canadacollaborator
Study Sites (3)
Harvard Medical School and clinical faculty at Dana-Farber Cancer Institute/Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Princess Margaret Cancer Centre
Toronto, Ontario, M5G 2M9, Canada
Maastro
Maastricht, Limburg, 6229 ET, Netherlands
Study Officials
- PRINCIPAL INVESTIGATOR
Frank Hoebers, PhD
Maastro
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 29, 2022
First Posted
October 4, 2022
Study Start
March 22, 2022
Primary Completion (Estimated)
August 1, 2026
Study Completion (Estimated)
August 1, 2026
Last Updated
August 14, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, CSR, ANALYTIC CODE
- Time Frame
- Starting 6 months after publication
all IPD (individual participant data) underlying the results