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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
- Source :
- Journal of Family Medicine and Primary Care, Vol 9, Iss 1, Pp 206-214 (2020), Journal of Family Medicine and Primary Care
- Publication Year :
- 2020
- Publisher :
- Wolters Kluwer Medknow Publications, 2020.
-
Abstract
- 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.
- Subjects :
- Orthodontics
enhancement filter
business.industry
media_common.quotation_subject
Radiography
lcsh:R
Digital imaging
Occlusal caries
lcsh:Medicine
030209 endocrinology & metabolism
Filter (signal processing)
03 medical and health sciences
Digital image
0302 clinical medicine
dental caries
Medicine
Contrast (vision)
Original Article
030212 general & internal medicine
Medical diagnosis
digital radiography
business
media_common
Digital radiography
Subjects
Details
- Language :
- English
- ISSN :
- 22494863
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of Family Medicine and Primary Care
- Accession number :
- edsair.doi.dedup.....305aabaf34f6543963687d7c02e0bcb0