CT database for evaluation of automatic image segmentation programs in the maxillofacial area

Organizational Data

DRKS-ID:
DRKS00014853
Recruitment Status:
Recruiting ongoing
Date of registration in DRKS:
2018-06-29
Last update in DRKS:
2024-02-05
Registration type:
Prospective

Acronym/abbreviation of the study

enFacedDB

URL of the study

No Entry

Brief summary in lay language

Computer-assisted technologies such as image-based automatic segmentation play an important role in supporting diagnosis and therapy planning in the field of oral and maxillofacial surgery. Although numerous such image-based segmentation methods exist, their clinical application is often very limited. This particularly applies to freely accessible segmentation methods in relation to systematic evaluation. The aim of this study is therefore to assess the quality of segmentation programs in the maxillofacial skull. The assessment is based on a comparison between segmented CT image data of the bones. Segmented clinical image data is compared with that of clinical experts. This study is a comparison of several freely accessible software platforms in the maxillofacial skull based on clinical CT data to improve potential clinical applications in the field of patient-individualized medicine in oral and maxillofacial surgery.

Brief summary in scientific language

Computer- assisted technologies such as image- based segmentation play an important in the diagnosis and treatment support in oral- and maxillofacial surgery. However, although many image- based segmentation approaches exist, their clinical in- house use is often strongly limited due to technical, human or financial resources. Especially in open- source based segmentation, systematic evaluations of segmentation approaches are lacking. Therefore, the aim of this study is to assess the real segmentation quality of commonly available and license- free segmentation programs in the maxillofacial area. The assessment is done in a comparison between segmented CT- image data of the maxillofacial area. Segmented patient- specific clinical image data performed by automatic segmentation algorithms are compared with the manual ground truth segmentations performed by clinical experts. Assessment parameters are amongst others the Dice Score Coefficient (DSC, %) and the Hausdorff Distance (HD, voxel). This study is a systematic comparison that evaluates multiple license- free, open- source segmentation programs and software platforms in the maxillofacial area based on clinical CT- data for the improvement of segmentation algorithms and a potential clinical use in patient-individualized medicine in the field of oral and maxillofacial surgery. Further, the results presented are reproducible by others and can be used for both clinical and research purposes.

Health condition or problem studied

ICD10:
S02 - Fracture of skull and facial bones
ICD10:
M85 - Other disorders of bone density and structure
ICD10:
Q75 - Other congenital malformations of skull and face bones
ICD10:
S09 - Other and unspecified injuries of head
ICD10:
K10 - Other diseases of jaws
ICD10:
K07 - Dentofacial anomalies [including malocclusion]
ICD10:
Z96 - Presence of other functional implants
Healthy volunteers:
No Entry

Interventions, Observational Groups

Arm 1:
Establishment of a CT database (CT, PET/CT etc.) of the maxillofacial area with datasets from the clinical routine for the comparative evaluation of multiple image- based computer programs and platforms.

Endpoints

Primary outcome:
Comparison image based segmentation of maxillofacial 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:
Comparison image based segmentation of maxillofacial CT- data between automatic (algorithm) vs. manual (clinical experts) at measurement point T by Volume (V, mm3), Voxel (Vx, Number), time (t, min., sec.).

Study Design

Purpose:
Basic research/physiological study
Retrospective/prospective:
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Study type:
Non-interventional
Longitudinal/cross-sectional:
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Study type non-interventional:
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Recruitment

Recruitment Status:
Recruiting ongoing
Reason if recruiting stopped or withdrawn:
No Entry

Recruitment Locations

Recruitment countries:
  • Austria
Number of study centers:
Monocenter study
Recruitment location(s):
  • University medical center Medizinische Universität Graz Graz

Recruitment period and number of participants

Planned study start date:
2018-07-01
Actual study start date:
2018-08-01
Planned study completion date:
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Actual Study Completion Date:
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Target Sample Size:
100
Final Sample Size:
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Inclusion Criteria

Sex:
All
Minimum Age:
18 Years
Maximum Age:
99 Years
Additional Inclusion Criteria:
Physiologically functional, complete maxillofacial bones

Exclusion Criteria

• Implants or osteosynthesis material • Age <18 Years • Bone necrosis or pathologic-cystic changes of the bones

Addresses

Primary Sponsor

Address:
Medizinische Universität Graz
DDDr. Jürgen Wallner
Auenbruggerplatz 5/1
8036 Graz
Austria
Telephone:
+43/316/385-12428
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
https://www.medunigraz.at/en/
Investigator Sponsored/Initiated Trial (IST/IIT):
Yes

Contact for Scientific Queries

Address:
Medizinische Universität Graz
DDDr. Jürgen Wallner
Auenbruggerplatz 5/1
8036 Graz
Austria
Telephone:
+43/316/385-12428
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
https://www.medunigraz.at/en/

Contact for Public Queries

Address:
Medizinische Universität Graz
DDDr. Jürgen Wallner
Auenbruggerplatz 5/1
8036 Graz
Austria
Telephone:
+43/316/385-12428
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
https://www.medunigraz.at/en/

Principal Investigator

Address:
Medizinische Universität Graz
DDDr. Jürgen Wallner
Auenbruggerplatz 5/1
8036 Graz
Austria
Telephone:
+43/316/385-12428
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
https://www.medunigraz.at/en/

Sources of Monetary or Material Support

Public funding institutions financed by tax money/Government funding body (German Research Foundation (DFG), Federal Ministry of Education and Research (BMBF), etc.)

Address:
FWF
Sensengasse 1
1090 Wien
Austria
Telephone:
No Entry
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
https://www.fwf.ac.at/

Public funding institutions financed by tax money/Government funding body (German Research Foundation (DFG), Federal Ministry of Education and Research (BMBF), etc.)

Address:
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)
1090 Wien
Austria
Telephone:
No Entry
Fax:
No Entry
Contact per E-Mail:
Contact per E-Mail
URL:
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Ethics Committee

Address Ethics Committee

Address:
Ethikkommission der Medizinischen Universität Graz
Auenbruggerplatz 2
8036 Graz
Germany
Telephone:
(+43)316-38513928
Fax:
(+43)316-38514348
Contact per E-Mail:
Contact per E-Mail
URL:
No Entry

Vote of leading Ethics Committee

Vote of leading Ethics Committee
Date of ethics committee application:
2018-04-17
Ethics committee number:
30-340 ex 17/18
Vote of the Ethics Committee:
Approved
Date of the vote:
2018-06-14

Further identification numbers

Other primary registry ID:
No Entry
EudraCT Number:
No Entry
UTN (Universal Trial Number):
No Entry
EUDAMED Number:
No Entry

IPD - Individual Participant Data

Do you plan to make participant-related data (IPD) available to other researchers in an anonymized form?:
Yes
IPD Sharing Plan:
Data obtained through this study may be provided to qualified researchers with academic interest in this study. Data or samples shared will be anomynized. Data will be shared only according to the internal review board's approval.

Study protocol and other study documents

Study protocols:
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Study abstract:
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Other study documents:
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Background literature:
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Related DRKS studies:
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Publication of study results

Planned publication:
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Publikationen/Studienergebnisse:
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Date of first publication of study results:
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DRKS entry published for the first time with results:
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Basic reporting

Basic Reporting / Results tables:
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Brief summary of results:
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