Acquisition of 3D Facial Geometry of Patients' Scheduled for Radiotherapy Treatment
NCT ID: NCT02930915
Last Updated: 2016-10-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
12 participants
OBSERVATIONAL
2016-06-30
2017-09-30
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Receiving radiotherapy treatments (CT images)
Exclusion Criteria
18 Years
69 Years
ALL
No
Sponsors
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Clinical Research and Trials Unit (Norfolk & Norwich University Hospital, UK)
OTHER
University of East Anglia
OTHER
Responsible Party
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Principal Investigators
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Mark Fisher, PhD
Role: PRINCIPAL_INVESTIGATOR
University of East Anglia
Locations
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School of Computing Sciences, University of East Anglia
Norwich, Norfolk, United Kingdom
Norfolk and Norwich Univeristy Hospital NHS foundation Trust
Norwich, Norfolk, United Kingdom
Countries
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References
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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.
Other Identifiers
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82-03-16
Identifier Type: -
Identifier Source: org_study_id
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