Deep learning based MR Only Radiotherapy for head-and-neck cancer
Recruiting
- Conditions
- head-and-neck cancer
- Registration Number
- NL-OMON28332
- Lead Sponsor
- Erasmus MC
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 60
Inclusion Criteria
60 Patients (age >18 yr) with head-and-neck cancer scheduled for primary (chemo-)radiotherapy where a planning MRI is performed as part of standard work up.
Exclusion Criteria
Having any physical or mental status that interferes with the informed consent procedure.
Contraindications for MRI (e.g. claustrophobia, arterial clips in central nervous system)
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method the percentage of patients in the validation cohort for which the dosimetrical accuracy is within tolerance for at least 80% of the organs and targets when the synthetic CT is used for dose calculations.
- Secondary Outcome Measures
Name Time Method the percentage of patients in the validation cohort that meet for 80% of the organs the criteria for contouring accuracy, namely that 80% of the contour points need to be within 2 mm from the gold standard contours.