Sagittal back contour and craniofacial morphology in preadolescents

Eur Spine J. 2010 Mar;19(3):427-34. doi: 10.1007/s00586-009-1218-z. Epub 2009 Nov 28.

Abstract

The aim of this study was to analyze the correlation ratios between the sagittal back contour (flèche cervicale and lombaire, trunk inclination) and selected parameters of craniofacial morphology in children. The patient sample consisted of 66 healthy children with a mean age of 11.2 years (SD 1.6 years), of which 34 were male (mean age 11.5 years, SD 1.3 years) and 32 were females (mean age 10.9 years, SD 1.9 years). The children were recruited during the preparation of the initial orthodontic treatment records. Craniofacial morphology was analyzed by six angular measurements: facial axis, mandibular plane angle, inner gonial angle, lower facial height, facial depth and maxilla position. Rasterstereography was used for reconstruction of the spinal back sagittal profile. From the profile flèche cervicale, flèche lombaire and trunk inclination were determined and the correlations with the craniofacial morphology were calculated (Pearson and Mann-Whitney U test). Significant correlations were found with respect to the inner gonial angle and the flèche cervicale, the mandibular plane angle and the flèche lombaire, the inner gonial angle and the flèche lombaire, and the angular lower facial height and the flèche lombaire, as well as the inner gonial angle and the trunk inclination. The craniofacial vertical growth pattern, presented by mandibular plane angle, inner gonial angle and the angular lower facial height, and the correlation to flèche cervicale and lombaire as well as trunk inclination reveal correlations between growth pattern and sagittal back contour.

MeSH terms

  • Adolescent
  • Cephalometry*
  • Child
  • Face / anatomy & histology
  • Female
  • Humans
  • Male
  • Maxillofacial Development
  • Posture / physiology*
  • Radiography
  • Skull / anatomy & histology*
  • Skull / diagnostic imaging
  • Spine / anatomy & histology*
  • Spine / diagnostic imaging
  • Statistics, Nonparametric