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Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study
PURPOSE: In radiological views, strong beam hardening and streaking artifacts occur due to high-density structures and polyenergetic X-ray beams, and these lead to misdiagnosis. This study was performed in vitro to compare the contrast-to-noise ratio (CNR) of commonly used dental restorative materia...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Istanbul University Faculty of Dentistry
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252535/ https://www.ncbi.nlm.nih.gov/pubmed/32518909 http://dx.doi.org/10.26650/eor.20200079 |
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author | Bayrak, Seval Kursun Cakmak, Emine Sebnem Kamalak, Hakan |
author_facet | Bayrak, Seval Kursun Cakmak, Emine Sebnem Kamalak, Hakan |
author_sort | Bayrak, Seval |
collection | PubMed |
description | PURPOSE: In radiological views, strong beam hardening and streaking artifacts occur due to high-density structures and polyenergetic X-ray beams, and these lead to misdiagnosis. This study was performed in vitro to compare the contrast-to-noise ratio (CNR) of commonly used dental restorative materials by using Cone Beam Computed Tomography (CBCT) images with and without artifact reduction (AR) mode. MATERIALS AND METHODS: A total of 108 molar teeth were restored with nine different groups of restorative materials, with each group containing 12 teeth. Teeth were placed in a dry human mandible and scanned, one by one, via Planmeca 3D ProMax (Planmeca, Helsinki, Finland) with and without AR mode. Images were analyzed using ImageJ software (National Institutes of Health, Bethesda, MD) to calculate the CNR. RESULTS: CNR was calculated to be the highest in compomer (Glassiosite) images without AR mode (mean: 3.36) and with AR mode (mean: 3.61). CNR was calculated to be the lowest in amalgam (Tytin) images without AR mode (mean: 0.21) and with AR mode (mean: 0.23). A significant difference was found between materials in terms of CNR measurements (p ≤ 0.05). CNR measurements were increased after the AR mode application (p ≤ 0.05). CONCLUSION: AR mode was effective in reducing artifacts arising from dental materials on CBCT images, so it is necessary to use AR mode for correct diagnoses. |
format | Online Article Text |
id | pubmed-7252535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Istanbul University Faculty of Dentistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-72525352020-06-08 Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study Bayrak, Seval Kursun Cakmak, Emine Sebnem Kamalak, Hakan Eur Oral Res Articles PURPOSE: In radiological views, strong beam hardening and streaking artifacts occur due to high-density structures and polyenergetic X-ray beams, and these lead to misdiagnosis. This study was performed in vitro to compare the contrast-to-noise ratio (CNR) of commonly used dental restorative materials by using Cone Beam Computed Tomography (CBCT) images with and without artifact reduction (AR) mode. MATERIALS AND METHODS: A total of 108 molar teeth were restored with nine different groups of restorative materials, with each group containing 12 teeth. Teeth were placed in a dry human mandible and scanned, one by one, via Planmeca 3D ProMax (Planmeca, Helsinki, Finland) with and without AR mode. Images were analyzed using ImageJ software (National Institutes of Health, Bethesda, MD) to calculate the CNR. RESULTS: CNR was calculated to be the highest in compomer (Glassiosite) images without AR mode (mean: 3.36) and with AR mode (mean: 3.61). CNR was calculated to be the lowest in amalgam (Tytin) images without AR mode (mean: 0.21) and with AR mode (mean: 0.23). A significant difference was found between materials in terms of CNR measurements (p ≤ 0.05). CNR measurements were increased after the AR mode application (p ≤ 0.05). CONCLUSION: AR mode was effective in reducing artifacts arising from dental materials on CBCT images, so it is necessary to use AR mode for correct diagnoses. Istanbul University Faculty of Dentistry 2020-01-01 2020-01-01 /pmc/articles/PMC7252535/ /pubmed/32518909 http://dx.doi.org/10.26650/eor.20200079 Text en Copyright © 2020 European Oral Research This article is licensed under Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license ( (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the journal endorses its use. The material cannot be used for commercial purposes. If the user remixes, transforms, or builds upon the material, he/she may not distribute the modified material. No warranties are given. The license may not give the user all of the permissions necessary for his/her intended use. For example, other rights such as publicity, privacy, or moral rights may limit how the material can be used. |
spellingShingle | Articles Bayrak, Seval Kursun Cakmak, Emine Sebnem Kamalak, Hakan Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title | Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title_full | Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title_fullStr | Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title_full_unstemmed | Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title_short | Contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
title_sort | contrast-to-noise ratios of different dental restorative materials: an in-vitro cone beam computed tomography study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252535/ https://www.ncbi.nlm.nih.gov/pubmed/32518909 http://dx.doi.org/10.26650/eor.20200079 |
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