2023
DOI: 10.3390/diagnostics13111900
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Scan Aided Dental Arch Width Prediction via Internationally Recognized Formulas and Indices in a Sample of Kurdish Population/Iraq

Abstract: Background: Numerous studies have investigated the applicability of Pont’s index using a variety of selection criteria. The morphology of teeth and the shapes of the face are significantly influenced by racial, cultural, and environmental factors, so the current study focused on these demographics. Methods: This study is a retrospective study and included one hundred intraoral scanned images selected from patients seeking orthodontic treatment. Medit design software was used to obtain the real measurements and… Show more

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Cited by 3 publications
(2 citation statements)
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“…It is important to follow a rigorous research methodology, ensure data accuracy, and prioritize ethical considerations to produce meaningful results that can benefit orthodontic practice. Because Pont's index is not trustworthy in forecasting arch widths for the Kurdish population, alternative formulae to estimate inter-molar, inter-premolar, and anterior arch widths were recommended [17].…”
Section: Discussionmentioning
confidence: 99%
“…It is important to follow a rigorous research methodology, ensure data accuracy, and prioritize ethical considerations to produce meaningful results that can benefit orthodontic practice. Because Pont's index is not trustworthy in forecasting arch widths for the Kurdish population, alternative formulae to estimate inter-molar, inter-premolar, and anterior arch widths were recommended [17].…”
Section: Discussionmentioning
confidence: 99%
“…The digital model that is produced may be preferred when compared to a conventional setup due to higher tolerance, increased comfort, a lesser risk of allergic reactions, and ease of data storage, recovery, and transfer [14,17,18]. However, the prediction of dental arch widths in cases of crowded or spaced dentition and class II or class III malocclusions is an area that requires further research [19].…”
Section: Diagnosismentioning
confidence: 99%