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3D Printed Models in 3D Virtual Treatment Planning of Orthognathic Surgery

Evaluation of Implementation of 3D Printed Models in 3D Virtual Treatment Planning of Orthognathic Surgery

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03986723
Enrollment
20
Registered
2019-06-14
Start date
2017-11-29
Completion date
2018-03-31
Last updated
2021-01-19

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

Conditions

Orthognathic Surgery

Keywords

traditional plaster model, 3D printed model, digital workflow, reliability, time efficiency

Brief summary

Despite the shift from 2D towards 3D virtual treatment planning of orthognathic surgery, traditional plaster cast are still gold standard. The investigators aimed to compare the overall reliability and time efficiency of an digital workflow using 3D printed models, in comparison to the conventional plaster workflow. Twenty real-life cases were planned according to both workflows and timed by a single resident.

Interventions

None listed

Sponsors

AZ Sint-Jan AV
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* planned for orthognathic surgery * planning by a single resident * planning based on 3D virtual workflow

Exclusion criteria

* not eligible according to abovementioned criteria

Design outcomes

Primary

MeasureTime frameDescription
time efficiency: duration of the complete workflow, measured in seconds with a digital chronometerpreoperativeduration of the complete workflow, measured in seconds with a digital chronometer

Secondary

MeasureTime frameDescription
reliability of the workflow through registration of problems, difficulties that occurpreoperativeevaluation of the reliability of the workflow through registration of problems, difficulties that occur

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026