Literature DB >> 26872281

Correlation Between Cephalometric Measures and End-of-Treatment Facial Attractiveness.

Xiao-nan Yu1, Ding Bai, Xue Feng, Yue-hua Liu, Wen-jing Chen, Song Li, Guang-li Han, Ruo-ping Jiang, Tian-min Xu.   

Abstract

Sixty-nine experienced Chinese orthodontists evaluated 108 Chinese patients' facial attractiveness from set of photographs (frontal, lateral, and frontal smiling photos) taken at the end of orthodontic treatment. These 108 patients, which contained an equal number of patients with Class I, II, and III malocclusion, were randomly selected from 6 orthodontic treatment centers throughout China. Spearman rank-order correlation coefficients (rs) analyses were performed to examine agreement in ranking between all judge pairs. Pearson correlation and multivariate regression were performed to examine the correlation between cephalometric measures and end-of-treatment Photo Attractiveness Rank.96.68% judge pairs showed moderate correlated (+0.4 ≤ rs < +0.7) subjective rankings. Cephalometric measures significantly correlated with end-of-treatment Photo Attractiveness Rank included interincisal angle (r = 0.330, P < 0.05), L1/MP° (r = 0.386, P < 0.05), L1-NBmm (r = 0.451, P < 0.01), L1/NB° (r = 0.374, P < 0.05), and profile angle (r = 0.353, P < 0.05) in Class I patients with an explained variance of 32.8%, and ANB angle (r = 0.432, P < 0.01), angle of convexity (r = 0.448, P < 0.01), profile angle (r = 0.488, P < 0.01), Li to E-line (r = 0.374, P < 0.05), Li to B-line (r = 0.543, P < 0.01), and Z angle (r = 0.543, P < 0.01) in Class II patient with an explained variance of 43.3%.There was less association than expected between objective measurements on the lateral cephalograms and clinicians' rankings of facial attractiveness on clinical photography in Chinese patients. Straight-stand lower incisor was desired for facial attractiveness of Class I malocclusion; and sagittal relationship and lip prominence influence the esthetics of Class II malocclusion in Chinese population.

Entities:  

Mesh:

Year:  2016        PMID: 26872281     DOI: 10.1097/SCS.0000000000002444

Source DB:  PubMed          Journal:  J Craniofac Surg        ISSN: 1049-2275            Impact factor:   1.046


  4 in total

1.  Machine Learning-Based Evaluation on Craniodentofacial Morphological Harmony of Patients After Orthodontic Treatment.

Authors:  Xin Wang; Xiaoke Zhao; Guangying Song; Jianwei Niu; Tianmin Xu
Journal:  Front Physiol       Date:  2022-05-09       Impact factor: 4.755

2.  Correlation between facial attractiveness and facial components assessed by laypersons and orthodontists.

Authors:  Hongyu Ren; Xin Chen; Yongqing Zhang
Journal:  J Dent Sci       Date:  2020-08-13       Impact factor: 2.080

3.  Sagittal Cephalometric Evaluation Without Point Nasion: Sagittal G-Triangle Analysis.

Authors:  Boxiu Li; Zhuomin Zhang; Xinping Lin; Yan Dong
Journal:  J Craniofac Surg       Date:  2022 Mar-Apr 01       Impact factor: 1.172

4.  A volumetric study of mandibular condyles in orthognathic patients by semiautomatic segmentation.

Authors:  Max-Philipp Lentzen; Maximilian Riekert; Johannes Buller; Andrea Grandoch; Matthias Zirk; Joachim E Zoeller; Matthias Kreppel
Journal:  Oral Maxillofac Surg       Date:  2021-06-10
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.