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© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

ABSTRACT

Introduction:

Alveolar bone coverage can be diagnosed through cone beam computed tomography (CBCT) and this information can prevent orthodontic tooth movement beyond the biological limit.

Objective:

This study evaluated the impact of the bone coverage (BC) diagnosis by CBCT in the orthodontists’ planning.

Methods:

One hundred fifty-nine Brazilian orthodontists suggested treatment plans for six patients at two different times, using two sequential questionnaires. The first questionnaire consisted of extra and intra-oral photographs, one panoramic radiograph; one lateral cephalometric radiograph with Steiner and Tweed analysis, and the patient chief complaint. The second questionnaire included the same presentations of cases with tomographic images and the radiologist’s report. The McNemar test assessed the difference between the first and the second treatment plans.

Results:

In all six cases, most participants changed the treatment plan after evaluating the CBCT images and the radiologist’s report (93.7% in case 5, 78.6% in case 4, 74.2% in case 3, 69.8% in case 6, 66% in case 2 and 61% in case 1; p≤0.01).

Conclusion:

The evaluation of bone coverage through CBCT images has a substantial impact on the orthodontic diagnosis and planning of the Brazilian orthodontists.

Details

Title
Tomographic diagnosis of alveolar bone coverage impact in orthodontic planning: cross-sectional study
Author
MONTANHA-ANDRADE Katia; FERREIRA, Paula Paes; DE SENA Ana Carolina Velasco Pondé; CURY, Patricia R; CRUSOÉ-REBELLO, Ieda M
University/institution
U.S. National Institutes of Health/National Library of Medicine
Publication year
2024
Publication date
2024
Publisher
Dental Press International
ISSN
21769451
e-ISSN
21776709
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3122902627
Copyright
© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.