All ETDs from UAB

Advisory Committee Chair

Chung H Kau

Advisory Committee Members

Amjad Javed

Nada Souccar

Christos Vlachos

Document Type

Thesis

Date of Award

2023

Degree Name by School

Master of Science in Dentistry (MScD) School of Dentistry

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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Dentistry Commons

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