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Advisory Committee Chair

Chung H Kau

Advisory Committee Members

Amjad Javed

Nada Souccar

Christos Vlachos

Document Type

Thesis

Date of Award

2023

Abstract

Objective: To determine if orthodontic clinicians are able to ascertain diagnostic information from untraced lateral cephalometric radiographs. Materials and Methods: A survey consisting of 5 cases was presented to practicing orthodontists. Each case presented a lateral cephalometric radiograph and included ten questions requiring the respondent to make clinical judgments and approximations of the following variables: skeletal classification, maxilla and mandibular skeletal relationship, SNA, SNB, ANB, vertical skeletal classification, FMA, molar relationship, maxillary incisor proclination, and mandibular incisor proclination. 46 responses were collected and analyzed. Results: Case 3, the normodivergent, Skeletal Class I patient had the highest percentage of correct answers across almost all parameters. Case 1, a borderline Skeletal Class I/II patient had the lowest percentage of correct answers across all parameters. Conclusion: Practicing orthodontists’ ability to evaluate lateral cephalometric radiographs through visual examination is determinant on case type. Skeletal class I patients are the easiest from which to ascertain data while borderline Skeletal Class I/Class II patients were the most difficult. Keywords: Survey, Lateral Cephalometric Radiographs, Diagnosis, Orthodontics

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