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A User-Friendly Software for Automated Knowledge-Based Virtual Surgical Planning in Mandibular Reconstruction.

Niclas Hagen1, Christian Freudlsperger2,3, Reinald Peter Kühle2

  • 1Institute of Medical Informatics, Heidelberg University, 69120 Heidelberg, Germany.

Journal of Clinical Medicine
|July 12, 2025
PubMed
Summary

This study introduces new software for automated virtual surgical planning (VSP) in mandibular reconstructions. The system efficiently generates high-quality, knowledge-based reconstruction proposals, improving surgical planning.

Keywords:
artificial intelligencecomputer-assisted surgeryfibulaknowledge-basedmandiblereconstructionvirtual surgical planning

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Area of Science:

  • Biomedical Engineering
  • Oral and Maxillofacial Surgery

Background:

  • Virtual surgical planning (VSP) is standard for mandibular reconstructions using autografts.
  • Existing commercial VSP services have limitations, including inefficiency and potential errors.
  • A novel knowledge-based approach was developed to address these shortcomings.

Purpose of the Study:

  • Implement software for automated VSP.
  • Evaluate the software's performance on retrospective clinical cases.
  • Assess the efficiency and quality of automated reconstruction proposals.

Main Methods:

  • Developed software integrating mandible registration, tumor resection planning, and knowledge-based proposal generation.
  • Three surgeons utilized the software for 21 retrospective mandibular reconstruction cases.
  • Assessed usability via System Usability Scale (SUS) and plan quality via Likert scales.

Main Results:

  • Surgeons reported high usability (average SUS score of 76.7).
  • VSP completion times were under 20 minutes.
  • High agreement with proposed reconstructions (mean 4.7/5) and final plans (20/21 cases scored 5/5).

Conclusions:

  • Developed user-friendly software for automated VSP in mandibular reconstruction.
  • Reconstruction proposals can be efficiently calculated using standardized rules.
  • The system enables rapid refinement of high-quality reconstruction proposals by surgeons.