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1.
J Orthod Sci ; 10: 3, 2021.
Article in English | MEDLINE | ID: mdl-34084759

ABSTRACT

OBJECTIVE: This study aimed to test the intra and inter-rater reliability, reproducibility, and validity of a new guide called the "Cone Beam Computed Tomography-Maxillary Canine Impaction (CBCT-MCI)," designed to assess the position, severity, and predictability of the maxillary canine impaction (MCI) treatment intervention using Cone Beam Computed Tomography (CBCT). MATERIALS AND METHODS: This study is a retrospective radiographic review of 44 patients with unilateral or bilateral MCI. A total of 56 maxillary impacted canines' CBCT radiographs were analyzed using the new CBCT-MCI guide, with each of its 10 items scored. The total scores of the 10 items were then compared to a scale to predict the best treatment intervention of MCI: normal spontaneous eruption, surgical-orthodontic traction, or surgical extraction. Radiologists and orthodontists have developed, tested, and retested the CBCT-MCI guide on the same 56 maxillary impacted canines using CBCT radiographs to check its reliability and reproducibility using the Kappa coefficient. Furthermore, the validity of this guide was tested by comparing the predicted best treatment intervention with the actual treatment administered to the assessed impacted maxillary canine using the Kappa coefficient and percentage of agreement using cross-tabulation. RESULTS: The result of this study showed significantly strong Kappa values of intra-rater agreement (k = 0.91, (P < 0.0001) and inter-rater agreement (k = 0.84, P < 0.0001). Furthermore, testing the relationship between the two MCI treatment interventions using cross-tabulation, the agreement percentages between the predicated and actual treatment plans of the assessed MCI ranged between 70% and 95.5% with a significantly strong Kappa value (k = 0.82, P < 0.0001). CONCLUSIONS: This study suggests that the CBCT-MCI guide is capable of producing accurate, reliable, and reproducible results in assessing and predicting the type of orthodontic treatment intervention of MCI in a simple, quick, and efficient way.

2.
Saudi Med J ; 39(8): 822-828, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30106421

ABSTRACT

OBJECTIVES: To evaluate orthodontic treatment needs using the index of orthodontic treatment need (IOTN) components and to estimate the required manpower in the city of Jeddah, Saudi Arabia. METHODS: A cross-sectional study involving 670 participants (390 females and 280 males) collected between November 2016 and April 2017, whose ages ranged from 12-19 years from secondary and high school students. Treatment needs were estimated using the IOTN components, dental health component (DHC), and aesthetic component (AC). RESULTS: The results according to the severity of malocclusion using IOTN-DHC found that 24.3% of the cases required severe/extreme need and 54.3% were in the no/slight need category. The most frequent types of malocclusion were crowding (48.8%) followed by increased overjet (21.8%), and spacing (16.1%). Using Pearson's Chi-squared test, there was a statistically significant association (p less than 0.001) between IOTN-DHC and IOTN-AC; 51.2% of the sample was in agreement at the mild need category, indicating a strong correlation, with a coefficient of 0.687. CONCLUSION: According to the IOTN's components, the present study showed that almost one-quarter of the sample had a severe/extreme need for orthodontic treatment. The most frequent type of malocclusion traits according to the severity was crowding followed by increased overjet and then spacing. The Ministry of Health must employ 90-110 orthodontists in Jeddah to meet the demands of the definite needs for orthodontics in adolescents.


Subject(s)
Health Services Needs and Demand/statistics & numerical data , Malocclusion/epidemiology , Orthodontics, Corrective/statistics & numerical data , Orthodontists/supply & distribution , Adolescent , Child , Cross-Sectional Studies , Female , Humans , Male , Malocclusion/therapy , Orthodontists/statistics & numerical data , Saudi Arabia/epidemiology , Severity of Illness Index , Workforce , Young Adult
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