Skip to content

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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON28332
Enrollment
60
Registered
2019-11-15
Start date
2020-01-01
Completion date
Unknown
Last updated
2024-02-28

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

Conditions

head-and-neck cancer

Interventions

None listed

Sponsors

Erasmus MC
Lead Sponsor

Eligibility

Inclusion criteria

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

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

MeasureTime frame
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

MeasureTime frame
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.

Contacts

Public ContactSteven Petit

Erasmus MC Cancer Institute

s.petit@erasmusmc.nl0650001704

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)