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Measurement plane of the cross-sectional area of the masseter muscle in patients with skeletal Class III malocclusion: An artificial intelligence model.
- Source :
-
American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics [Am J Orthod Dentofacial Orthop] 2024 Aug; Vol. 166 (2), pp. 112-124. Date of Electronic Publication: 2024 May 23. - Publication Year :
- 2024
-
Abstract
- Introduction: This study aimed to determine a measurement plane that could represent the maximum cross-sectional area (MCSA) of masseter muscle using an artificial intelligence model for patients with skeletal Class III malocclusion.<br />Methods: The study included 197 patients, divided into subgroups according to sex, mandibular symmetry, and mandibular plane angle. The volume, MCSA, and the cross-sectional area (CSA) at different levels were calculated automatically. The vertical distance between MCSA and mandibular foramen, along with the ratio of the masseter CSA at different levels to the MCSA (R), were also calculated.<br />Results: The MCSA and volume showed a strong correlation in the total sample and each subgroup (P <0.001). The correlation between the CSA at each level and MCSA was statistically significant (P <0.001). The peak of the r and the correlation coefficient between the CSA at different levels and MCSA were mostly present 5-10 mm above the mandibular foramen for the total sample and the subgroups. The mean of R <subscript>A5</subscript> to R <subscript>A10</subscript> was >0.93, whereas the corresponding correlation coefficient was >0.96, both for the entire sample and for the subgroups.<br />Conclusions: MCSA could be used as an indicator for masseter muscle size. For patients with skeletal Class III malocclusion, the CSA 5-10 mm above the mandibular foramen, parallel to the Frankfort plane, could be used to estimate the masseter muscle MCSA.<br /> (Copyright © 2024 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Female
Male
Adolescent
Mandible pathology
Young Adult
Adult
Cephalometry methods
Cone-Beam Computed Tomography methods
Malocclusion, Angle Class III pathology
Malocclusion, Angle Class III diagnostic imaging
Masseter Muscle pathology
Masseter Muscle diagnostic imaging
Artificial Intelligence
Subjects
Details
- Language :
- English
- ISSN :
- 1097-6752
- Volume :
- 166
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
- Publication Type :
- Academic Journal
- Accession number :
- 38795105
- Full Text :
- https://doi.org/10.1016/j.ajodo.2024.03.011