Estimating mandibular growth stage based on cervical vertebral maturation in lateral cephalometric radiographs using artificial intelligence.

Journal: Progress in orthodontics
PMID: 38910180

Abstract

INTRODUCTION: Determining the right time for orthodontic treatment is one of the most important factors affecting the treatment plan and its outcome. The aim of this study is to estimate the mandibular growth stage based on cervical vertebral maturation (CVM) in lateral cephalometric radiographs using artificial intelligence. Unlike previous studies, which use conventional CVM stage naming, our proposed method directly correlates cervical vertebrae with mandibular growth slope.

Authors

  • Sajjad Alipour Shoari
    Department of Orthodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Seyed Vahid Sadrolashrafi
    Mianeh Technical and Engineering Faculty, University of Tabriz, Tabriz, 51666-14766, Iran.
  • Aydin Sohrabi
    Department of Orthodontics, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Reza Afrouzian
    Mianeh Technical and Engineering Faculty, University of Tabriz, Tabriz, 51666-14766, Iran.
  • Pooya Ebrahimi
    Department of Orthodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Maryam Kouhsoltani
    Department of Oral and Maxillofacial Pathology, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Minou Kouh Soltani
    Mianeh Technical and Engineering Faculty, University of Tabriz, Tabriz, 51666-14766, Iran. Kouhsoltani@tabrizu.ac.ir.

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