Correlation between Curve of Spee and Vertical Divergence in Skeletal Class Patients

Abstract

Objective: The purpose of this study was to build off separate findings from previous studies; specifically that the COS is deeper in Class II skeletal malocclusions or in hypodivergent skeletal patterns. The hypothesis is hypodivergent skeletal patterns will exhibit a greater COS and there is a correlation between the mandibular plane angle and the depth of the COS in Class II patients. Materials and Methods: This was a retrospective study. 60 total Class II patients were divided into 3 equal groups based on their vertical skeletal divergence (hypodivergent, normodivergent, and hyperdivergent). From this population, measurements were recorded from their reconstructed lateral cephalograms and pre-treatment study models. The data was aggregated and analyzed with Pearson Correlation Coefficient, one-way ANOVA, and descriptive statistics. Results: The COS average was deepest in hypodivergent patients (2.43mm), and shallowest in hyperdivergent (2.05mm), however the differences, calculated by One-way ANOVA, were not significant (P greater than 0.05). The correlation analysis found that when looking at COS to all the variables aggregated, there was a small negative correlation to L1-NB (p less than 0.05), and a large positive correlation to both overbite and overjet (P=0). Conclusion: The COS was not correlated to the mandibular plane angle in skeletal Class II patients. Secondly, the COS was positively correlated to both overjet and overbite; as both overbite and overjet increased, the COS also increased. Finally, the COS was negatively correlated to L1-NB; the more retrusive the lower incisors, the deeper the COS.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2022
Accession Number
AD1186195

Entities

People

  • Barrington W. Dykes
  • Jeremy F. Scarpate

Organizations

  • Uniformed Services University of the Health Sciences

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Correlation Analysis
  • Data Science
  • Department Of Defense
  • Descriptive Analytics
  • Diseases
  • Diseases And Disorders
  • Governments
  • Health Services
  • Information Science
  • Leveling
  • Measurement
  • Medical Personnel
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • Teeth
  • Test And Evaluation
  • Three Dimensional
  • Tooth Diseases
  • United States
  • United States Government
  • Universities

Fields of Study

  • Medicine

Readers

  • Astronomy/Astrophysics
  • Information Retrieval
  • Organizational Psychology.