Acquisition of 3D Facial Geometry of Patients' Scheduled for Radiotherapy Treatment

NCT02930915 | Unknown

• 1 other identifier: 82-03-16
• Study Type: observational
• Target: 12
• Locations: 1 country
• Sites: 2

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.

Conditions

Head and Neck Cancer

Keywords

Head and Neck Cancer; Radiotherapy

Outcome Measures

Primary Outcomes (1)

• 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

Interventions

Hand-held laser scanner DEVICE

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.

Eligibility Criteria

• Age: 18 Years - 69 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

A cohort of patients who have a Head-and-neck cancer and receiving radiotherapy treatments in the Norfolk and Norwich University Hospital.

You may qualify if:

• Have a Head-and-neck cancer
• Receiving radiotherapy treatments (CT images)

You may not qualify if:

• Children (age less than 18)

Sponsors & Collaborators

• University of East Anglia: lead
• Clinical Research and Trials Unit (Norfolk & Norwich University Hospital, UK): collaborator

Study Sites (2)

School of Computing Sciences, University of East Anglia

Norwich, Norfolk, NR4 7TJ, United Kingdom

Location

Norfolk and Norwich Univeristy Hospital NHS foundation Trust

Norwich, Norfolk, NR47UY, United Kingdom

Location

Related 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.

  BACKGROUND

• 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.

  BACKGROUND

MeSH Terms

Conditions

Head and Neck Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms

Study Officials

• Mark Fisher, PhD

  University of East Anglia

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 10, 2016
• First Posted: October 12, 2016
• Study Start: June 1, 2016
• Primary Completion: June 1, 2017
• Study Completion: September 1, 2017
• Last Updated: October 12, 2016

Record last verified: 2016-10

Locations

GB (2)