title: New prediction equations for the estimation of maxillary mandibular canine and premolar widths from mandibular incisors and mandibular first permanent molar widths: A digital model study.
abstract: OBJECTIVE
  The primary aim of the study was to generate new prediction equations for the estimation of maxillary and mandibular canine and premolar widths based on mandibular incisors and first permanent molar widths.
  
  
  METHODS
  A total of 2,340 calculations (768 based on the sum of mandibular incisor and first permanent molar widths, and 1,572 based on the maxillary and mandibular canine and premolar widths) were performed, and a digital stereomicroscope was used to derive the the digital models and measurements. Mesiodistal widths of maxillary and mandibular teeth were measured via scanned digital models.
  
  
  RESULTS
  There was a strong positive correlation between the estimation of maxillary (r = 0.85994, r(2) = 0.7395) and mandibular (r = 0.8708, r(2) = 0.7582) canine and premolar widths. The intraclass correlation coefficients were statistically significant, and the coefficients were in the strong correlation range, with an average of 0.9. Linear regression analysis was used to establish prediction equations. Prediction equations were developed to estimate maxillary arches based on Y = 15.746 + 0.602 × sum of mandibular incisors and mandibular first permanent molar widths (sum of mandibular incisors [SMI] + molars), Y = 18.224 + 0.540 × (SMI + molars), and Y = 16.186 + 0.586 × (SMI + molars) for both genders, and to estimate mandibular arches the parameters used were Y = 16.391 + 0.564 × (SMI + molars), Y = 14.444 + 0.609 × (SMI + molars), and Y = 19.915 + 0.481 × (SMI + molars).
  
  
  CONCLUSIONS
  These formulas will be helpful for orthodontic diagnosis and clinical treatment planning during the mixed dentition stage.
authors.affiliation: Orthodontic Unit, School of Dental Science, Universiti Sains Malaysia, Kota Bharu, Malaysia.
authors.forename: Fazal
authors.initials: F
authors.lastname: Shahid
authors.affiliation: Orthodontic Unit, School of Dental Science, Universiti Sains Malaysia, Kota Bharu, Malaysia.
authors.forename: Mohammad Khursheed
authors.initials: MK
authors.lastname: Alam
authors.affiliation: Forensic Dentistry Unit, School of Dental Science, Universiti Sains Malaysia, Kota Bharu, Malaysia.
authors.forename: Mohd Fadhli
authors.initials: MF
authors.lastname: Khamis
keywords: Digital dental model; Mesiodistal tooth size; Mixed dentition analysis; Prediction equation