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The Effect of Copper Aided Nickel–Titanium Arch-Wire Sequences on Upper Jaw Expansion: A Comparison with Conventional Nickel–Titanium Wire Systems in Medical Decision Support Systems in Medical Internet of Things

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The purpose of this study was to evaluate maxillary arch dimensional changes during alignment with various sequences of copper nickel–titanium (CuNiTi) with passive self-ligating system braces (PSLS) and also to compare with regular nickel–titanium (NiTi) with conventional straight wire appliance braces (CSWA). Methods: Forty individuals were included in this study, who were divided randomly into two groups as PSLS and CSWA. The PSLS group had an arch-wire sequence comprising of 0.014, 0.016-in round CuNiTi, 0.014 × 0.025, 0.018 × 0.025-in CuNiTi. The arch wires sequence for the CSWA was 0.014, 0.016-in round NiTi, 0.016 × 0.016, 0.016 × 0.022-in NiTi. Dental impressions were collected from the subjects every 6 weeks. The transversal dimensions were recorded with digital calipers based on inter-canine width, inter-premolars widths and inter-molar width. Results: There were no significant differences between the groups in terms of inter-canine width. There were significant differences in the inter-premolars and inter-molar widths (p < 0 005). The expansion effect of 0.014 CuNiTi wire in PSLS group was significantly greater than the other arch wires (p < 0.005). Conclusions: Maxillary inter-canine, inter-premolars, and inter-molar widths increased with PSLS and the traditional system. The width of inter-premolars and inter-molars increased significantly with the use of the PSLS and the 0.014 CuNiTi arch wire is the most effective in terms of transversal dimensional changes.

Keywords: COPPER NICKEL–TITANIUM; MAXILLARY EXPANSION; ORTHODONTIC ARCH-WIRE; PASSIVE SELF-LIGATING

Document Type: Research Article

Publication date: 01 January 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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