Habchuk V., Rozhko M., Oliynyk R.

EFFICIENCY ANALYSIS OF USING METHODS OF GRAPHIC ANALYSIS FOR X-RAY IMAGES WITH THE AIM OF INTRA-CORONAL DENTIN DEFECTS DETECTION


About the author:

Habchuk V., Rozhko M., Oliynyk R.

Heading:

DENTISTRY

Type of article:

Scentific article

Annotation:

The essence of the X-ray diagnosis of carious lesions based on the change in the mineral composition of the hard tissues of the tooth, which reduce the attenuation of X-ray radiation that passes through the tooth. For clinical practice, it is expedient to develop such algorithms of X-ray images graphic analysis that would be based on widely available basic functions of digital image viewers, and could be used in the initial evaluation of X-ray diagnostic results directly by a dentist. Objective. Determine the effect of images post-processing during the analysis of digital orthopantograms on the effectiveness of intracoronary dentine defects diagnosis. Object and methods. For the purpose of the study, premolars that were removed for orthodontic indications without signs of carious lesions were used. The teeth were prepared from the occlusive side to a depth of 2-3 mm below the level of the enameldentine connection. Subsequently, the area of defect up to the boundary of the connection was filled with cotton, and the remaining defect within the enamel was filled with a flow-composite Filtek Ultimate Flow (3M). Then teeth were positioned in the wax dental typodont one sample in each segment, and procedure of orthopantomography was performed (Planmeca ProMax 3D Classic). The received digital images were subjected to the stage of correction by contrast and sharpness parameters. Results. After the substraction of the field of interest and the correction of the contrast and sharpness of the image, the average sensitivity and specificity of the diagnostic method was 77,84% and 79,45% respectively, while the accuracy of the method reached 91,44%. The difference between these indices was statistically significant in comparison with the results obtained during the analysis of orthopantomograms that were not passed through the post-processing procedure (p≤0,05). At the same time, the statistically confirmed difference between the data obtained in cases of contrast correction and contrast correction, along with the correction of the indicators of image sharpness, could not be detected (p≥0,05). Conclusions. As a result of the study of the effectiveness during the use of different approaches to the graphic processing of digital radiographs, it was established that post-processing of X-ray images in the conditions of experimental simulation of intracoronal dentin defects contributes to an increase in the specificity, sensitivity and accuracy of such algorithms for diagnostic analysis. Correction of indicators of contrast and sharpness of X-ray images helps to optimize the diagnosis of carious cavities using X-ray methods compared to the diagnostic approaches that involve the analysis of digital X-ray without the implementation of the post-processing stage of graphic images.

Tags:

X-ray diagnosis, carious lesions, images post-processing, intracoronary dentine defects, diagnostic analysis.

Bibliography:

  1. Şenel B, Kamburoğlu K, Üçok Ö, Yüksel SP, Özen T, Avsever H. Diagnostic accuracy of different imaging modalities in detection of proximal caries. Dentomaxillofacial Radiology. 2010;39(8):501-11.
  2. Suomalainen A, Esmaeili EP, Robinson S. Dentomaxillofacial imaging with panoramic views and cone beam CT. Insights into imaging. 2015;6(1):1-16.
  3.  Naam J, Harlan J, Madenda S, Wibowo EP. Image Processing of Panoramic Dental X-Ray for Identifying Proximal Caries. TELKOMNIKA (Telecommunication Comput. Electron. Control). 2017;15(2):702-8.
  4. Dove SB. Radiographic diagnosis of dental caries. Journal of Dental Education. 2001;65(10):985-90.
  5. dos Santos Junior VE, de Lima Targino AC, de Alencar Filho AV, Rosenblatt A. Are there hidden caries or is this another limitation of the diagnostic conventional exams? Revista Odonto Ciência. 2015;30(2):45-50.
  6. Belém MDF, Ambrosano GMB, Tabchoury CPM, Ferreira-Santos RI, Haiter-Neto F. Performance of digital radiography with enhancement filters for the diagnosis of proximal caries. Brazilian oral research. 2013;27(3):245-51.
  7. Price JB. A Review of Intraoral Radiology. DentoMaxilloFacial Radiology. 2000;29(1):41-5.
  8. Khabchuk VS, Rozhko MM, Oliinyk RP, Pohoretska HV, Patskun LO. Efektyvnist rannoi diahnostyky prykhovanykh form kariiesu ta monitorynhu stomatolohichnoho statusu ditei riznykh vikovykh hrup. Visnyk naukovykh doslidzhen. 2017;4:122-6. [in Ukrainian].
  9. Honcharuk-Khomyn MIu, Kostenko YeIa. Antropometrychni rozrakhunky proportsiinykh spivvidnoshen za tsyfrovymy ortopantomohramamy. Bukovynskyi medychnyi visnyk. 2013;3(1):45-6. [in Ukrainian].
  10. Gonsalves Р. Diagnosis of Dental Cavities using Image Processing. International Journal of Computer Applications. 2017;180(5):28-32.
  11. Berdouses ED, Koutsouri GD, Tripoliti EE, Matsopoulos GK, Oulis CJ, Fotiadis DI. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Computers in biology and medicine. 2015;62:119-35.
  12. Naam J, Harlan J, Madenda S, Wibowo EP. The Algorithm of Image Edge Detection on Panoramic Dental X-Ray Using Multiple Morphological Gradient (mMG) Method. International Journal on Advanced Science, Engineering and Information Technology. 2016;6(6):1012-8.
  13.  Rad AE, Rahim MSM, Rehman A, Saba T. Digital dental X-ray database for caries screening. 3D Research. 2016;7(2):18.

Publication of the article:

«Bulletin of problems biology and medicine» Issue 2 Part 1 (150), 2019 year, 337-340 pages, index UDK 616.314-002-053.4/6

DOI: