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Clinical Trial Details — Status: Enrolling by invitation

Administrative data

NCT number NCT02930915
Other study ID # 82-03-16
Secondary ID
Status Enrolling by invitation
Phase N/A
First received October 10, 2016
Last updated October 10, 2016
Start date June 2016
Est. completion date September 2017

Study information

Verified date October 2016
Source University of East Anglia
Contact n/a
Is FDA regulated No
Health authority United Kingdom: National Health Service
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Enrolling by invitation
Enrollment 12
Est. completion date September 2017
Est. primary completion date June 2017
Accepts healthy volunteers No
Gender Both
Age group 18 Years to 69 Years
Eligibility Inclusion Criteria:

- Have a Head-and-neck cancer

- Receiving radiotherapy treatments (CT images)

Exclusion Criteria:

- Children (age less than 18)

Study Design

Observational Model: Cohort, Time Perspective: Cross-Sectional


Related Conditions & MeSH terms


Intervention

Device:
Hand-held laser scanner
The laser scanning is non-intrusive and the scan can be completed in approximately 15 minutes. The scanning process involves the patient sitting in a chair while a researcher performs the scan. As a precautionary measure we require the patient to wear an eye mask as although the scanner is CE marked and completely safe . The process can be completed in stages (e.g. 3 x 5 minutes) with a break of 2-3 minutes between each session. The laser scanner will then be moved around the patient to obtain a set of 3D points forming the surface of the patient's head. We believe the laser scanning to be the most accurate way to acquire the surface of the patient's face / head and we wish to compare the models we obtain with surfaces rendered from the patient's CT data set.

Locations

Country Name City State
United Kingdom Norfolk and Norwich Univeristy Hospital NHS foundation Trust Norwich Norfolk
United Kingdom School of Computing Sciences, University of East Anglia Norwich Norfolk

Sponsors (2)

Lead Sponsor Collaborator
University of East Anglia Clinical Research and Trials Unit (Norfolk & Norwich University Hospital, UK)

Country where clinical trial is conducted

United Kingdom, 

References & Publications (2)

Fisher, Mark, Christopher Applegate, Mohammad Ryalat, Stephen Laycock, Mark Hulse, Daniel Emmens, and Duncan Bell. Evaluation of 3-d printed immobilisation shells for head and neck IMRT. Open Journal of Radiology 4, no. 04 (2014): 322.

Laycock, S. D., M. Hulse, C. D. Scrase, M. D. Tam, S. Isherwood, D. B. Mortimore, D. Emmens, J. Patman, S. C. Short, and G. D. Bell. Towards the production of radiotherapy treatment shells on 3D printers using data derived from DICOM CT and MRI: preclinical feasibility studies. Journal of Radiotherapy in Practice 14, no. 01 (2015): 92-98.

Outcome

Type Measure Description Time frame Safety issue
Primary 3D facial geometry of patient's head 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. 15 minutes No
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