Statistical shape analysis-based determination of optimal midsagittal reference plane for evaluation of facial asymmetry

Am J Orthod Dentofacial Orthop. 2016 Aug;150(2):252-60. doi: 10.1016/j.ajodo.2016.01.017.

Abstract

Introduction: The purpose of this study was to determine, by statistical shape analysis of original and mirrored skeletal landmarks, the optimal landmark-based midsagittal reference plane for evaluation of facial asymmetry.

Methods: The study sample comprised 69 patients with facial asymmetry (36 men, 33 women; mean age, 23.0 ± 4.1 years). All landmarks were obtained with cone-beam computed tomography using a 3-dimensional coordinate system. For identifying the landmark-based midsagittal reference plane, the 3 landmarks nearest to the symmetric midsagittal reference plane were selected by ordinary and generalized Procrustes analyses. To verify the 3-landmark-based midsagittal reference plane's compatibility with the symmetric midsagittal reference plane, asymmetry measurements were calculated and tested for each.

Results: The 3 nearest landmarks (nasion, anterior nasal spine, and posterior nasal spine) were selected for the 3-landmark-based midsagittal reference plane. The averages of the sums of the squared Euclidean distance and the squared Procrustes distance differences between the 2 configurations and shapes fabricated by the symmetric and landmark-based midsagittal reference planes, respectively, were calculated as 0.121 ± 0.241 mm and 1.69 × 10(-6) ± 3.25 × 10(-6). The testing results for the symmetric and landmark-based midsagittal reference planes were almost the same.

Conclusion: The results indicated that a 3-dimensional midsagittal reference plane constructed of nasion, anterior nasal spine, and posterior nasal spine could be a valuable tool for the evaluation of patients with facial asymmetry.

MeSH terms

  • Anatomic Landmarks
  • Cephalometry
  • Cone-Beam Computed Tomography*
  • Facial Asymmetry / diagnostic imaging*
  • Female
  • Humans
  • Imaging, Three-Dimensional*
  • Male
  • Models, Statistical*
  • Radiographic Image Interpretation, Computer-Assisted
  • Republic of Korea
  • Retrospective Studies
  • Young Adult