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A Complete Digital Workflow for Planning, Simulation, and Evaluation in Orthognathic Surgery.

Sang-Jeong Lee1, Ji-Yong Yoo2, Sang-Yoon Woo2

  • 1Dental Research Institute, Seoul National University, Seoul 03080, Korea.

Journal of Clinical Medicine
|September 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a digital workflow for orthognathic surgery, enhancing planning and simulation through 3D imaging and cloud collaboration. The workflow demonstrates high surgical accuracy, improving patient outcomes.

Keywords:
3D landmark-based evaluationcloud-based collaborationdigital natural head position reproductiondigital workfloworthognathic surgery

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Area of Science:

  • Oral and Maxillofacial Surgery
  • Digital Health
  • Medical Imaging

Background:

  • Orthognathic surgery planning traditionally involves complex manual processes.
  • Integrating digital technologies can streamline workflows and improve accuracy.
  • Effective collaboration between surgical and engineering teams is crucial for optimizing outcomes.

Purpose of the Study:

  • To develop and evaluate a comprehensive digital workflow for orthognathic surgery.
  • The workflow integrates 3D natural head position reproduction, cloud-based collaboration, and 3D landmark-based evaluation.
  • To assess the surgical accuracy of the developed digital workflow.

Main Methods:

  • A digital workflow was developed using 3D digital natural head position, a cloud platform, and 3D landmark analysis.
  • 24 patients undergoing bimaxillary orthognathic surgery were included.
  • Surgical accuracy was evaluated by comparing 3D landmarks on simulation and postoperative CT scans for linear and rotational discrepancies.

Main Results:

  • The mean absolute linear discrepancy was 0.61 mm (left-right), 0.86 mm (advance-setback), and 1.00 mm (impaction-elongation).
  • Mean absolute angular discrepancies were 1.43° (pitch), 0.50° (roll), and 0.58° (yaw).
  • Significant differences were found in left-right linear and pitch angular discrepancies (ANOVA, p < 0.05).

Conclusions:

  • The developed complete digital workflow offers efficient and streamlined procedures for orthognathic surgery.
  • The workflow demonstrates high surgical accuracy, facilitated by efficient image data sharing and close collaboration.
  • This digital approach enhances planning, simulation, and evaluation in orthognathic surgery.