Literature DB >> 35147668

Characterization of phenotypes of skeletal Class III malocclusion in Korean adult patients treated with orthognathic surgery using cluster analysis.

Il-Hyung Yang, Jin-Young Choi, Seung-Hak Baek.   

Abstract

OBJECTIVES: To characterize the phenotypes of skeletal Class III malocclusion in adult patients who underwent orthognathic surgery (OGS).
MATERIALS AND METHODS: The sample consisted of 326 patients with Class III malocclusion treated with OGS (170 men and 156 women; mean age, 22.2 years). Using lateral cephalograms taken at initial visits, 13 angular variables and one ratio cephalometric variable were measured. Using three representative variables obtained from principal components analysis (SNA, SNB, and Björk sum), K-means cluster analysis was performed to classify the phenotypes. Statistical analysis was conducted to characterize the differences in the cephalometric variables among the clusters.
RESULTS: Class III phenotypes were classified into nine clusters from the following four major groups: (1) retrusive maxilla group, clusters 7 and 9 (7.1% and 5.5%; severely retrusive maxilla, normal mandible, severe and moderate hyperdivergent, respectively) and cluster 6 (9.2%; retrusive maxilla, normal mandible, normodivergent); (2) relatively protrusive mandible group, cluster 2 (20.9%; normal maxilla, normal mandible, hyperdivergent); (3) protrusive mandible group, clusters 3 and 1 (11.7% and 15.3%; normal maxilla, protrusive mandible, normodivergent and hyperdivergent, respectively) and clusters 8 and 4 (15.3% and 3.7%; normal maxilla, severe protrusive mandible, normodivergent and hypodivergent, respectively); and (4) protrusive maxilla and protrusive mandible group, cluster 5 (11.4%; protrusive maxilla, severely protrusive mandible, normodivergent). Considerations for presurgical orthodontic treatment and OGS planning were proposed based on the Class III phenotypes.
CONCLUSIONS: Because the anteroposterior position of the maxilla and rotation of the mandible by a patient's vertical pattern determine Class III phenotypes, these variables should be considered in diagnosis and treatment planning for patients who have skeletal Class III malocclusion. © 0000 by The EH Angle Education and Research Foundation, Inc.

Entities:  

Keywords:  Class III; Phenotype

Year:  2022        PMID: 35147668      PMCID: PMC9235389          DOI: 10.2319/081421-635.1

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.684


  19 in total

1.  A classification and characterization of skeletal class III malocclusion on etio-pathogenic basis.

Authors:  S X Hong; C K Yi
Journal:  Int J Oral Maxillofac Surg       Date:  2001-08       Impact factor: 2.789

2.  Growth prediction in Class III patients using cluster and discriminant function analysis.

Authors:  Elham S J Abu Alhaija; Andrew Richardson
Journal:  Eur J Orthod       Date:  2003-12       Impact factor: 3.075

3.  Craniofacial form in class III cases.

Authors:  F Mackay; J A Jones; R Thompson; W Simpson
Journal:  Br J Orthod       Date:  1992-02

4.  Change in maxillary incisor inclination during surgical-orthodontic treatment of skeletal Class III malocclusion: comparison of extraction and nonextraction of the maxillary first premolars.

Authors:  Do-Keun Kim; Seung-Hak Baek
Journal:  Am J Orthod Dentofacial Orthop       Date:  2013-03       Impact factor: 2.650

5.  Prognosis prediction for Class III malocclusion treatment by feature wrapping method.

Authors:  Bo-Mi Kim; Bo-Yeong Kang; Hong-Gee Kim; Seung-Hak Baek
Journal:  Angle Orthod       Date:  2009-07       Impact factor: 2.079

6.  Phenotypic diversity in white adults with moderate to severe Class III malocclusion.

Authors:  Lina M Moreno Uribe; Kaci C Vela; Colleen Kummet; Deborah V Dawson; Thomas E Southard
Journal:  Am J Orthod Dentofacial Orthop       Date:  2013-07       Impact factor: 2.650

7.  Prediction of Class III treatment outcomes through orthodontic data mining.

Authors:  Pietro Auconi; Marco Scazzocchio; Paola Cozza; James A McNamara; Lorenzo Franchi
Journal:  Eur J Orthod       Date:  2014-09-04       Impact factor: 3.075

8.  Forecasting craniofacial growth in individuals with class III malocclusion by computational modelling.

Authors:  Pietro Auconi; Marco Scazzocchio; Efisio Defraia; James A McNamara; Lorenzo Franchi
Journal:  Eur J Orthod       Date:  2013-06-18       Impact factor: 3.075

9.  Effects of Presurgical Mandibular Incisor Decompensation on Long-Term Outcomes of Class III Surgical Orthodontic Treatment.

Authors:  Jung-Sub An; Wonchae Jeong; Liselotte Sonnesen; Seung-Hak Baek; Sug-Joon Ahn
Journal:  J Clin Med       Date:  2021-06-28       Impact factor: 4.241

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