World Health Organization site
Skip Navigation Links

Main
Note: This record shows only 22 elements of the WHO Trial Registration Data Set. To view changes that have been made to the source record, or for additional information about this trial, click on the URL below to go to the source record in the primary register.
Register: German Clinical Trials Register
Last refreshed on: 8 April 2024
Main ID:  DRKS00014337
Date of registration: 04/05/2018
Prospective Registration: No
Primary sponsor: Medizinische Universität Graz
Public title: Klinische Evaluierung algorithmisch-semi-automatischer Open Source Software Segmentierung des Unterkiefers
Scientific title: Klinische Evaluierung algorithmisch-semi-automatischer Open Source Software Segmentierung des Unterkiefers - enFaced
Date of first enrolment: 01/04/2017
Target sample size: 10
Recruitment status: Complete
URL:  http://drks.de/search/en/trial/DRKS00014337
Study type:  observational
Study design:  Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: basic science  
Phase: 
Countries of recruitment
Austria
Contacts
Name: Jürgen    Wallner
Address:  Auenbruggerplatz 5/1 8036 Graz Austria
Telephone: +43/316/385-12428
Email: j.wallner@medunigraz.at
Affiliation:  Medizinische Universität Graz
Name: Jürgen    Wallner
Address:  Auenbruggerplatz 5/1 8036 Graz Austria
Telephone: +43/316/385-12428
Email: j.wallner@medunigraz.at
Affiliation:  Medizinische Universität Graz
Key inclusion & exclusion criteria
Inclusion criteria: • Physiologically functional, complete lower jawbones
• Age =18 Years
• Age <99 Years
• Data due to the medical indication in the clinical diagnostic at the department of Oral and maxillofacial surgery

Exclusion criteria: • Implants or osteosynthesis material
• Age <18 Years
• Lower jawbone necrosis or pathologic-cystic changes of the bones


Age minimum: 18 Years
Age maximum: 99 Years
Gender: All
Health Condition(s) or Problem(s) studied
bone fracture, bone defect
Intervention(s)
Group 1: Establishment of a CT database of the mandible with datasets from the clinical routine for the evaluation of an image-based computer program.
Primary Outcome(s)
Comparison image based segmentation of lower jaw CT-data between automatic (algorithm) vs. manual (clinical experts) at measurement point T by Hausdorff Distance (HD, voxel) and Dice Similarity Score (DSC, %).
Secondary Outcome(s)
Comparison image based segmentation of lower jaw CT-data between automatic (algorithm) vs. manual (clinical experts) at measurement point T by Volume (V, mm3), Voxel (Vx, Number), time (t, min., sec.).
Secondary ID(s)
Source(s) of Monetary Support
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
Austrian Science Fund (FWF) KLI 678-B31: “enFaced: Virtual and Augmented Reality Training and Navigation Module for 3D-Printed Facial Defect Reconstructions” (PIs: Jürgen Wallner and Jan Egger)
Secondary Sponsor(s)
Ethics review
Status: Approved
Approval date: 03/02/2017
Contact:
ethikkommission@medunigraz.at
Ethikkommission der Medizinischen Universität Graz
(+43)316-38513928
ethikkommission@medunigraz.at
Results
Results available: Yes
Date Posted: 05/02/2024
Date Completed: 06/05/2019
URL: http://drks.de/search/en/trial/DRKS00014337#studyResults
Disclaimer: Trials posted on this search portal are not endorsed by WHO, but are provided as a service to our users. In no event shall the World Health Organization be liable for any damages arising from the use of the information linked to in this section. None of the information obtained through use of the search portal should in any way be used in clinical care without consulting a physician or licensed health professional. WHO is not responsible for the accuracy, completeness and/or use made of the content displayed for any trial record.
Copyright - World Health Organization - Version 3.6 - Version history