Deep learning based MR Only Radiotherapy for head-and-neck cancer

Deep learning based MR Only Radiotherapy for head-and-neck cancer - Deep MR Only RT

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON49217

Enrollment

Registered

2020-03-09

Start date

2020-04-22

Completion date

Unknown

Last updated

2024-12-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

hoofd-hals kanker head and neck cancer

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: -Patients with head-and-neck cancer. -Scheduled for primary (chemo)radiotherapy where a MRI scan is part of the standard radiotherapy work up -Written informed consent.

Exclusion criteria

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)

Design outcomes

Primary

Measure	Time frame
Primary: 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

Measure	Time frame
Secondary: 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.	—

Countries

Netherlands

Outcome results