Feasibility Study: Acquisition of Three Dimensional Facial Geometry of Patients' Scheduled for Head and Neck Radiotherapy Treatment.
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Head and Neck Cancer
- Sponsor
- University of East Anglia
- Enrollment
- 12
- Locations
- 2
- Primary Endpoint
- 3D facial geometry of patient's head
- Last Updated
- 9 years ago
Overview
Brief Summary
This study investigates the feasibility of using 3D-Printing to manufacture masks used to immobilize patients undergoing radiotherapy treatment for tumors affecting the head and neck.
Detailed Description
The current types of masks that are used in radiotherapy treatment sessions for those patients who have head-and-neck cancer are 'made to measure' and the methods currently employed to make them are invasive and in some cases patients' have found this to be particularly unpleasant. Their experience motivates research into less invasive and potentially more accurate techniques for their manufacture. To effectively develop an automatic manufacturing pipeline, and to assess the accuracy of the approach we need access to CT data from a cohort of patients for which we also have an accurate (ground truth) 3D facial model. Such a model can be acquired in a few minutes using a hand-held laser scanner.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Have a Head-and-neck cancer
- •Receiving radiotherapy treatments (CT images)
Exclusion Criteria
- •Children (age less than 18)
Outcomes
Primary Outcomes
3D facial geometry of patient's head
Time Frame: 15 minutes
The resultant 3D facial geometry of patient's head will be used to construct a 3D digital model which will be used to evaluate the accuracy of the model generated by CT images. In other words, the outcome will be used as a ground-truth for the CT-derived model.