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Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries
BACKGROUND: Digital imaging has the potential to improve diagnostic accuracy and make quantitative diagnoses. In the recent decades, software for radiographic analysis has been investigated and developed for the detection of lesions and the quantitative assessment of the depth of a caries lesion. In...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014896/ https://www.ncbi.nlm.nih.gov/pubmed/32110592 http://dx.doi.org/10.4103/jfmpc.jfmpc_934_19 |
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author | Sahu, Rohit Kumar Rajguru, Jagadish P Pattnaiak, Naina Bardhan, Debajyoti Nayak, Bikash |
author_facet | Sahu, Rohit Kumar Rajguru, Jagadish P Pattnaiak, Naina Bardhan, Debajyoti Nayak, Bikash |
author_sort | Sahu, Rohit Kumar |
collection | PubMed |
description | BACKGROUND: Digital imaging has the potential to improve diagnostic accuracy and make quantitative diagnoses. In the recent decades, software for radiographic analysis has been investigated and developed for the detection of lesions and the quantitative assessment of the depth of a caries lesion. In addition, the accuracy of diagnosis may also be enhanced by programs that filter the images. These programs can adjust the brightness and contrast, determine the gray level, invert the shades of gray, and apply pseudocolors. Few studies compared different types of digital images in the diagnosis of changes in the tooth crown. AIM: The main aim of this study was to assess the the diagnostic accuracy of a direct digital radiography (DDR)-CMOS image with four types of filtered images for the detection of occlusal caries. MATERIALS AND METHODS: Fifty randomly selected patients' teeth were clinically examined and digitally radiographed. Radiographed images are converted into four filter images with the help of software. Filtered images were then selected for inter- and intraobserver examination and the result was subjected to statistical analysis. CONCLUSION: DDR-CMOS and negative image were found to be more useful in diagnosing occlusal caries. |
format | Online Article Text |
id | pubmed-7014896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-70148962020-02-27 Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries Sahu, Rohit Kumar Rajguru, Jagadish P Pattnaiak, Naina Bardhan, Debajyoti Nayak, Bikash J Family Med Prim Care Original Article BACKGROUND: Digital imaging has the potential to improve diagnostic accuracy and make quantitative diagnoses. In the recent decades, software for radiographic analysis has been investigated and developed for the detection of lesions and the quantitative assessment of the depth of a caries lesion. In addition, the accuracy of diagnosis may also be enhanced by programs that filter the images. These programs can adjust the brightness and contrast, determine the gray level, invert the shades of gray, and apply pseudocolors. Few studies compared different types of digital images in the diagnosis of changes in the tooth crown. AIM: The main aim of this study was to assess the the diagnostic accuracy of a direct digital radiography (DDR)-CMOS image with four types of filtered images for the detection of occlusal caries. MATERIALS AND METHODS: Fifty randomly selected patients' teeth were clinically examined and digitally radiographed. Radiographed images are converted into four filter images with the help of software. Filtered images were then selected for inter- and intraobserver examination and the result was subjected to statistical analysis. CONCLUSION: DDR-CMOS and negative image were found to be more useful in diagnosing occlusal caries. Wolters Kluwer - Medknow 2020-01-28 /pmc/articles/PMC7014896/ /pubmed/32110592 http://dx.doi.org/10.4103/jfmpc.jfmpc_934_19 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Sahu, Rohit Kumar Rajguru, Jagadish P Pattnaiak, Naina Bardhan, Debajyoti Nayak, Bikash Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title | Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title_full | Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title_fullStr | Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title_full_unstemmed | Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title_short | Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries |
title_sort | assessment of diagnostic accuracy of a direct digital radiographic-cmos image with four types of filtered images for the detection of occlusal caries |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014896/ https://www.ncbi.nlm.nih.gov/pubmed/32110592 http://dx.doi.org/10.4103/jfmpc.jfmpc_934_19 |
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