Literature DB >> 29437505

Cleft Skeletal Asymmetry: Asymmetry Index, Classification and Application.

Delnaz S Patel1, Rachel Jacobson1, Yao Duan1, Linping Zhao1, David Morris1, Mimis N Cohen1.   

Abstract

OBJECTIVE: To quantitatively measure the extent of 3D asymmetry of the facial skeleton in patients with unilateral cleft lip and palate (UCLP) using an asymmetry index (AI) approach, and to illustrate the applicability of the index in guiding and measuring treatment outcome.
METHOD: Two groups of subjects between the ages of 15 and 20 who had archived CBCT scan were included in this study. Twenty-five patients with complete UCLP were compared with 50 age-matched noncleft subjects. The CBCT scans were segmented and landmarked for 3D anthropometric analysis. An AI was calculated as a quantitative measure of the extent of facial skeletal asymmetry.
RESULTS: For the control group, the AI ranged from 0.72 ± 0.47 at A point to 4.77 ± 1.59 at Gonion. The degree of asymmetry increased with the increasing laterality of the landmark from the midsagittal plane. In the UCLP group, the values of AI significantly increased compared to the control group at nearly all measured landmarks. The extent of the asymmetry to involve the upper, middle, and lower facial skeleton varied widely with the individual patient with UCLP.
CONCLUSION: The asymmetry index is capable of capturing the 3D facial asymmetry of subjects with UCLP and as a basis for classification of the extent of the asymmetry. We found the index to be applicable in surgical planning and in measuring the outcome in improving the symmetry in patients who have undergone orthognathic surgery.

Entities:  

Keywords:  3D anthropometric analysis; facial asymmetry; unilateral cleft lip and palate

Mesh:

Year:  2017        PMID: 29437505     DOI: 10.1177/1055665617732775

Source DB:  PubMed          Journal:  Cleft Palate Craniofac J        ISSN: 1055-6656


  3 in total

1.  3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learning-based CBCT image auto-segmentation.

Authors:  Xiaoyu Wang; Matthew Pastewait; Tai-Hsien Wu; Chunfeng Lian; Beatriz Tejera; Yan-Ting Lee; Feng-Chang Lin; Li Wang; Dinggang Shen; Song Li; Ching-Chang Ko
Journal:  Orthod Craniofac Res       Date:  2021-03-25       Impact factor: 1.826

2.  Nasal asymmetry changes during growth and development in 6- to 12-year-old children with repaired unilateral cleft lip and palate: A 3D computed tomography analysis.

Authors:  Le Huang; Ziling Wang; Zhiyi Shan; Andy Wai Kan Yeung; Yanqi Yang; Zhigang Liang; Min Gu
Journal:  J Anat       Date:  2021-08-19       Impact factor: 2.610

3.  Frontal and Axial Evaluation of Craniofacial Morphology in Repaired Unilateral Cleft Lip and Palate Patients Utilizing Cone Beam Computed Tomography; An Observational Study.

Authors:  Anuraj Singh Kochhar; Maninder Singh Sidhu; Mona Prabhakar; Ritasha Bhasin; Gulsheen Kaur Kochhar; Himanshu Dadlani; Gianrico Spagnuolo
Journal:  Int J Environ Res Public Health       Date:  2020-10-24       Impact factor: 3.390

  3 in total

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