Soft-tissue prediction based on 3D photographs for virtual surgery planning of orthognathic surgery.

Journal: Computers in biology and medicine
Published Date: Jun 11, 2025

Abstract

OBJECTIVES: In orthognathic surgery, preoperative three-dimensional soft-tissue simulations are frequently used to determine the desired jaw displacements to enhance the facial soft tissue. This study aimed to develop and validate a deep learning-based method to predict postoperative facial soft tissue outcomes in real time for various orthognathic procedures.

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.
  • Freek Bielevelt
    Radboudumc 3D Lab, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands. Electronic address: Freek.Bielevelt@radboudumc.nl.
  • 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.
  • Ruud Schreurs
    Radboudumc 3D Lab, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands; Department of Oral and Maxillofacial Surgery, Amsterdam University Medical Center (UMC), AMC, Academic Center for Dentistry Amsterdam (ACTA), Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands. Electronic address: Ruud.Schreurs@radboudumc.nl.
  • Thomas Maal
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Tong Xi
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. Tong.Xi@radboudumc.nl.
  • Guido de Jong
    Department of Neurosurgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

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