Deep Learning-Based Three-Dimensional Analysis Reveals Distinct Patterns of Condylar Remodelling After Orthognathic Surgery in Skeletal Class III Patients.

Journal: Orthodontics & craniofacial research
PMID: 39754473

Abstract

OBJECTIVE: This retrospective study aimed to evaluate morphometric changes in mandibular condyles of patients with skeletal Class III malocclusion following two-jaw orthognathic surgery planned using virtual surgical planning (VSP) and analysed with automated three-dimensional (3D) image analysis based on deep-learning techniques.

Authors

  • Selene Barone
    University of Michigan, Ann Arbor, MI, USA.
  • Lucia Cevidanes
    University of Michigan, Ann Arbor, MI, USA.
  • Jonas Bianchi
    University of Michigan, Ann Arbor, MI, USA.
  • João Roberto Gonçalves
    São Paulo State University (UNESP), Department of Pediatric Dentistry, School of Dentistry, Araraquara, SP, 14801-385, Brazil.
  • Amerigo Giudice
    Department of Health Sciences, School of Dentistry, Magna Graecia University of Catanzaro, Catanzaro, Italy.

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