title: A Newly Proposed Method to Predict Optimum Occlusal Vertical Dimension.
abstract: OBJECTIVE
  Establishing the optimum occlusal vertical dimension (OVD) in prosthetic treatment is an important clinical procedure. No methods are considered to be scientifically accurate in determining the reduced OVD in patients with missing posterior teeth. The purpose of this study was to derive a new formula to predict the lower facial height (LFH) using cephalometric analysis.
  
  
  METHODS
  Fifty-eight lateral cephalometric radiographs of Japanese clinical residents (mean age, 28.6 years) with complete natural dentition were used for this study. Conventional skeletal landmarks were traced. Not only the LFH, but six angular parameters and four linear parameters, which did not vary with reduced OVD, were selected. Multiple linear regression analysis with a stepwise forward approach was used to develop a prediction formula for the LFH using other measured parameters as independent variables.
  
  
  RESULTS
  The LFH was significantly correlated with Gonial angle, SNA, N-S, Go-Me, Nasal floor to FH, Nasal floor to SN, and FH to SN. By stepwise multiple linear regression analysis, the following formula was obtained: LFH (degree) = 65.38 + 0.30* (Gonial angle; degree) - 0.49* (SNA; degree) - 0.41* (N-S; mm) + 0.21* (Go-Me; mm) - 15.45* (Nasal floor to FH; degree) + 15.22* (Nasal floor to SN; degree) - 15.40* (FH to SN; degree).
  
  
  CONCLUSIONS
  Within the limitations of this study for one racial group, our prediction formula is valid in every LFH range (37 to 59°), and it may also be applicable to patients in whom the LFH deviated greatly from the average.
authors.affiliation: Professor, Department of Clinical Oral Health Science, Tokyo Dental College, Tokyo, Japan.
authors.forename: Shuichiro
authors.initials: S
authors.lastname: Yamashita
authors.affiliation: Postgraduate Clinical Assistant, Suidobashi Hospital, Tokyo Dental College, Tokyo, Japan.
authors.forename: Mariko
authors.initials: M
authors.lastname: Shimizu
authors.affiliation: Lecturer, Department of Orthodontics, Tokyo Dental College, Tokyo, Japan.
authors.forename: Hidenori
authors.initials: H
authors.lastname: Katada
mesh_terms: D000328:Adult; D000848:Anodontia; D002508:Cephalometry; D003766:Dental Occlusion; D005260:Female; D006801:Humans; D008297:Male; D009066:Mouth, Edentulous; D009666:Nose; D014716:Vertical Dimension
keywords: cephalometric analysis; lower facial height; multiple linear regression analysis; occlusal vertical dimension; prediction formula