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Not yet recruitingNCT07929532Updated Nov 10, 2026

Computer-Assisted Segmentation of Craniofacial Structures and Osteotomy Planning Using CBCT and CT

An observational study in Craniofacial Structure Segmentation and Virtual Osteotomy Planning, sponsored by Hospital of the Ministry of Interior, Kielce, Poland. Not yet recruiting at 1 site in Poland. Open to participants aged 16 Years to 85 Years. Per ClinicalTrials.gov, last updated 2026-11-10.

Sponsored by Hospital of the Ministry of Interior, Kielce, Poland · Observational

Updated Nov 10, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Other
Time perspective
Retrospective
Enrollment
200
Ages
16 Years to 85 Years
Sex
All
01

Study summary

This project will develop and evaluate methods for automatic and semi-automatic segmentation of craniofacial structures and delineation of osteotomy corridors using cone-beam computed tomography (CBCT) and computed tomography (CT) images. It will assess the quality and reproducibility of expert-prepared reference segmentations, the influence of model training, and the accuracy, processing time, and errors of automated methods. Only existing clinical scans will be used, with no additional imaging or changes to patient treatment.

Read the detailed description

This retrospective methodological project will use pseudonymized CBCT and CT images. Expert-reviewed segmentations and virtual osteotomy plans will serve as references. Selected cases will undergo repeated and independent assessment to evaluate intra- and interobserver agreement. A development dataset of CBCT examinations will be used to assess the effects of training set size and training progression. The final model will be tested on examinations not used during development. Evaluation will include segmentation accuracy, processing time, errors, technical failures, and correction requirements. Osteotomy corridors will be assessed against reference plans and nearby critical anatomical structures.

02

Conditions studied

  • Craniofacial Structure Segmentation
  • Virtual Osteotomy Planning

Keywords

  • Craniofacial Segmentation
  • Computed Tomography
  • Osteotomy Planning
03

In context

Lead sponsor

Hospital of the Ministry of Interior, Kielce, Poland is the lead sponsor of 8 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
16 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Patients aged 16-85 years at the time of clinically indicated CBCT or CT imaging, whose archived examinations meet the study eligibility criteria.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Archived CBCT or CT examinations acquired for clinical indications.
  • Patient age of 16-85 years at the time of imaging.
  • Images available in DICOM format and suitable for analysis.
  • Complete visualization of the anatomical structures required for the planned analysis.
  • Image quality sufficient for reliable reference preparation and assessment.

Exclusion criteria

Exclusion Criteria:

  • Incomplete or corrupted image series.
  • Insufficient imaging coverage.
  • Image quality preventing reliable reference assessment.
05

Study design

Observational model
Other
Time perspective
Retrospective
Enrollment
200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Patients with archived CBCT or CT examinations

    Patients whose archived CBCT or CT examinations will be used to develop and evaluate automatic and semi-automatic craniofacial segmentation methods and virtual osteotomy planning.

    Other: Computer-based craniofacial segmentation and osteotomy planning

Interventions

  • OtherComputer-based craniofacial segmentation and osteotomy planning

    Automatic and semi-automatic segmentation of craniofacial structures and virtual delineation of osteotomy corridors using archived CBCT and CT images.

06

What researchers measure

Primary outcomes

  1. Segmentation accuracy compared with expert-prepared reference segmentations

    Agreement between uncorrected algorithm-generated segmentation masks and expert-prepared reference masks, assessed using the Dice similarity coefficient (DSC). Scores range from 0 to 1, with higher values indicating greater overlap.

    Time frame: At the time of final model evaluation, up to 6 months

Secondary outcomes

  1. Intraobserver and interobserver agreement of reference segmentations

    Agreement between repeated reference segmentations by the same investigator and independent reference segmentations by a second investigator, assessed using the Dice similarity coefficient (DSC). Scores range from 0 to 1, with higher values indicating greater overlap.

    Time frame: During initial, repeat, and independent reference segmentation assessments, up to 6 months

  2. Segmentation processing time

    Time required to generate segmentations for the evaluated examinations.

    Time frame: During segmentation processing, up to 6 months

  3. Frequency of segmentation errors, technical failures, and correction requirements

    Frequency of segmentation errors, technical failures, restarts, and correction requirements, reported separately by category.

    Time frame: During segmentation processing and initial expert evaluation, up to 6 months

  4. Segmentation performance by training set size and training progression

    Dice similarity coefficient values across evaluated training set sizes and training stages during internal validation.

    Time frame: During model training and internal validation, up to 6 months

  5. Evaluation of virtual osteotomy corridors

    Assessment of computer-generated osteotomy corridors against expert-prepared reference plans and in relation to nearby critical anatomical structures.

    Time frame: At the time of virtual osteotomy corridor evaluation, up to 6 months

07

Study locations

1 site
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 10, 2026
Show all 1 update
  1. Nov 10, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07929532
Lead sponsor
Hospital of the Ministry of Interior, Kielce, Poland
Responsible party
Sponsor
First posted
Nov 10, 2026
Start date
Nov 2026 (estimated)
Primary completion
Mar 2027 (estimated)
Completion
Apr 2027 (estimated)
Last update
Nov 10, 2026

Study contacts

Maciej Sikora
Contact
sikora-maciej@wp.pl
+48 41 260 55 85

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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