Efficiency evaluation of rapid maxillary expansion treatment on nasal septal deviation using tortuosity ratio from cone-beam computer tomography images.
Comput Methods Programs Biomed
; 188: 105260, 2020 May.
Article
em En
| MEDLINE
| ID: mdl-31862681
ABSTRACT
BACKGROUND AND OBJECTIVE:
This study aims to assess the effect of Rapid Maxillary Expansion (RME) on Nasal Septal Deviation (NSD) changes from three-dimensional (3D) images.METHODS:
In this study, cone-beam computed tomography (CBCT) images from 15 patients with maxillary constriction (mean age 12 ± 1.6 years) were included. RME treatment with Hyrax appliance was performed in all patients. CBCT scans were taken at three different times; before appliance insertion (T0), after active expansion (T1) and 3 months after appliance insertion (T2). We developed a novel Matlab-based application to quantify NSD based on the tortuosity ratio by dividing the actual length of the septum by the ideal length in the mid-sagittal plane by using this application.RESULTS:
Tortuosity ratio (TR) values were found as 1.03 ± 0.03 (T0), 1.02 ± 0.02 (T1), and 1.02 ± 0.02 (T2). Differences of TR values among these groups were evaluated using the statistical method of ANOVA (ANalysis Of VAriance) for repeated measures with the significance level of pâ¯≤â¯.05. Results showed significant reductions in TR values between T0-T1 (pâ¯≤â¯.05) and between T0-T2 (pâ¯≤â¯.05). Nonetheless, a significant difference between T1-T2 was not determined (pâ¯>â¯.05).CONCLUSIONS:
As a result, we can conclude that the NSD degree is affected by the RME treatment. The developed application can be used for both educational and research purposes.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Técnica de Expansão Palatina
/
Tomografia Computadorizada de Feixe Cônico
/
Maxila
/
Septo Nasal
Tipo de estudo:
Observational_studies
/
Risk_factors_studies
Limite:
Adolescent
/
Child
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Comput Methods Programs Biomed
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Turquia