Automated calculation of ontology-based planning proposals: An application in reconstructive oral and maxillofacial surgery

Int J Med Robot. 2023 Dec;19(6):e2545. doi: 10.1002/rcs.2545. Epub 2023 Jul 3.

Abstract

Background: Structured modelling of surgical knowledge and its automated processing is still challenging. The aim of this work is to introduce a novel approach for automated calculation of ontology-based planning proposals in mandibular reconstruction and conduct a feasibility study.

Methods: The presented approach is composed of an RDF(S) ontology, a 3D mandible template and a calculator-optimiser algorithm to automatically calculate reconstruction proposals with fibula grafts. To validate the viability of the approach, a feasibility study was conducted on 164 simulated mandibular reconstructions.

Results: The ontology defines 244 different reconstruction variants and 80 analyses for optimization. In 146 simulated cases, a proposal could be automatically calculated (average time 8.79 ± 4.03 s). The assessments of the proposals by three clinical experts indicate the viability of the approach.

Conclusions: Due to the modular separation between computational logic and domain knowledge, the developed concepts can be easily maintained, reused and adapted for other applications.

Keywords: computer-assisted surgery; fibula; mandible; ontology; reconstruction; surgical planning.

MeSH terms

  • Humans
  • Mandible / surgery
  • Mandibular Reconstruction*
  • Plastic Surgery Procedures*
  • Surgery, Computer-Assisted*
  • Surgery, Oral*