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Klinische Evaluierung algorithmisch-semi-automatischer Open Source Software Segmentierung des Unterkiefers

Klinische Evaluierung algorithmisch-semi-automatischer Open Source Software Segmentierung des Unterkiefers - enFaced

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00014337
Enrollment
10
Registered
2018-05-04
Start date
2017-04-01
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

bone fracture, bone defect

Interventions

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.

Sponsors

Medizinische Universität Graz
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion 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

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

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
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.).

Countries

Austria

Contacts

Public ContactJürgen Wallner

Medizinische Universität Graz

j.wallner@medunigraz.at+43/316/385-12428

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026