Automated condylar seating assessment using a deep learning-based three-step approach.

Journal: Clinical oral investigations
PMID: 39227487

Abstract

OBJECTIVES: In orthognatic surgery, one of the primary determinants for reliable three-dimensional virtual surgery planning (3D VSP) and an accurate transfer of 3D VSP to the patient in the operation room is the condylar seating. Incorrectly seated condyles would primarily affect the accuracy of maxillary-first bimaxillary osteotomies as the maxillary repositioning is dependent on the positioning of the mandible in the cone-beam computed tomography (CBCT) scan. This study aimed to develop and validate a novel tool by utilizing a deep learning algorithm that automatically evaluates the condylar seating based on CBCT images as a proof of concept.

Authors

  • Bo Berends
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, P.O. Box 9101, Postal number 590, Nijmegen, HB 6500, The Netherlands; Radboudumc 3DLab, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Shankeeth Vinayahalingam
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Frank Baan
    Radboudumc 3D Lab, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 10, 6525, GA, Nijmegen, the Netherlands. Electronic address: Frank.Baan@radboudumc.nl.
  • Tabea Flügge
    Department of Oral and Maxillofacial Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and HumboldtUniversität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
  • Thomas Maal
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Stefaan Bergé
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Guide de Jong
    Department of Oral and Maxillofacial Surgery, Radboud University Medical Centre, 6500 HB, P.O. Box 9101, Nijmegen, 590, the Netherlands.
  • Tong Xi
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. Tong.Xi@radboudumc.nl.

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