The Journal of Contemporary Dental Practice

Register      Login



Volume / Issue

Online First

Related articles

VOLUME 20 , ISSUE 3 ( March, 2019 ) > List of Articles


Effect of Pseudocolor Filter in Micro-computed Tomography Images for Detection of Proximal and Occlusal Caries Lesions in Primary Molars

Sérgio AP Freitas, Francine K Panzarella, Roseli H Karia, Mariana RM Cavaletti, José Luiz C Junqueira, Luciana B Oliveira

Keywords : Dental caries, Diagnostic imaging, Primary molars, X-ray microtomography

Citation Information : Freitas SA, Panzarella FK, Karia RH, Cavaletti MR, Junqueira JL, Oliveira LB. Effect of Pseudocolor Filter in Micro-computed Tomography Images for Detection of Proximal and Occlusal Caries Lesions in Primary Molars. J Contemp Dent Pract 2019; 20 (3):279-284.

DOI: 10.5005/jp-journals-10024-2510

License: CC BY-NC 4.0

Published Online: 01-04-2019

Copyright Statement:  Copyright © 2019; The Author(s).


Aim: This study aimed to evaluate the effect of pseudocolor filter in micro-computed tomography (CT) images for the detection of proximal and occlusal caries lesions in primary molars. Materials and methods: For this in vitro analysis, 26 extracted human primary teeth were scanned using a compact micro-CT device (Skyscan 1172, Bruker micro-CT, Kontich, Belgium) and the projection images were reconstructed into cross-sectional slices (NRecon v.1.6.9, Bruker micro-CT, Kontich, Belgium). The original and pseudocolor images were evaluated twice by three calibrated radiologists. The tooth surfaces were scored according to Mejàre et al. criteria. The agreement was assessed by the Kappa coefficient, and the Chi-square test was used to evaluate the association between radiolucent lesion depth in enamel and dentin. Results: There was a good intra-observer agreement for detecting proximal caries lesions with or without using pseudocolor filter (k > 0.60). The inter-examiner agreement had similar results, and the agreement rates were good or moderate for the proximal surfaces. There were no statistically significant differences between the original and pseudocolor images (p > 0.05). The pseudocolor filter showed high sensitivity and specificity when compared with the original image with the exception of the occlusal face in enamel. Conclusion: The pseudocolor filter appears to be a promising enhancement tool for micro-CT images used for the detection of caries lesions in primary molars; even if it was not significantly different from the original images. Clinical significance: The pseudocolor filter converts grey scale images into color images. It is present in micro-CT software and must increase the diagnostic capacity of detecting caries lesion in occlusal and proximal surfaces.

PDF Share
  1. Hamba H, Nikaido T, Sadr A, et al. Enamel lesion parameter correlations between polychromatic Micro-CT and TMR. J Dent Res. 2012;91:586-591.
  2. Swain MV, Xue J. State of the art of Micro-CT applications in dental research. Int J Oral Sci. 2009;1:177-188.
  3. Souza-Flamini LE, Leoni GB, et al. The radix entomolaris and paramolaris: a micro-computed tomographic study of 3 -rooted mandibular first molars. J Endod. 2014;40:1616- 1621.
  4. Rodrigues CT, Oliveira-Santos C, Bernardineli N, et al. Prevalence and morphometric analysis of three-rooted mandibular first molars in a Brazilian subpopulation. J Appl Oral Sci. 2016;24:535-542.
  5. De Souza ET, Nunes Tameirão MD, Roter JM, et al. Tridimensional quantitative porosity characterization of three set calcium silicate-based repair cements for endodontic use. Microsc Res Tech. 2013;76:1093-1098.
  6. Gandolfi MG, Parrilli AP, Fini M, et al. 3D micro-CT analysis of the interface voids associated with Thermafil root fillings used with AH Plus or a flowable MTA sealer. Int Endod J. 2013;46:53-63.
  7. Huang Y, Orhan K, Celikten B, et al. Evaluation of the sealing ability of different root canal sealers: a combined SEM and micro-CT study. J Appl Oral Sci. 2018 Jan 15;26:e20160584.
  8. Mitropoulos P, Rahiotis C, Stamatakis H, et al. Diagnostic performance of the visual caries classification system ICDAS II versus radiography and micro-computed tomography for proximal caries detection: an in vitro study. J Dent. 2010; 38:859-867.
  9. Cochrane NJ, Anderson P, Davis GR, et al. An X-ray microtomographic study of natural white-spot enamel lesions. J Dent Res. 2012; 91:185-191.
  10. Elfrink ME, Kalin K, van Ruijven LJ, et al. MicroCT study on the enamel mineral density of primary molars. Eur J Paediatr Dent. 2016;17:60-64.
  11. Huysmans MC, Longbottom C. The challenges of validating diagnostic methods and selecting appropriate gold standards. J Dent Res. 2004;83:C48-C52.
  12. Davis GR, Mills D, Anderson P. Real-time observations of tooth demineralization in 3 dimensions using X-ray microtomography. J Dent. 2018 Feb;69:88-92.
  13. Soviero, VM, Leal SC, Silva RC, et al. Validity of MicroTC for in vitro detection of proximal carious lesions in primary molars. J Dent. 2012;40:35-40.
  14. De Souza AL, Bronkhorst EM, Creugers NH, et al. The caries assessment spectrum and treatment (CAST) instrument: its reproducibility in clinical studies. Int Dent J. 2014; 64:187-194.
  15. Özkan G, Kanli A, Baþeren NM, et al. Validation of micro-computed tomography for occlusal caries detection: an in vitro study. Braz Oral Res. 2015;29(1):S1806-83242015000100309.
  16. Shahmoradi M, Lashgari M, Rabbani H, et al. A comparative study of new and current methods for dental micro-CT image denoising. Dentomaxillofac Radiol. 2016;45:20150302.
  17. Gray BM, Mol A, Zandona A, et al. The effect of image enhancements and dual observers on proximal caries detection. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017 Apr;123(4):e133-e139.
  18. Lederer A, Kunzelmann KH, Hickel R, Litzenburger F. Transillumination and HDR Imaging for Proximal Caries Detection. J Dent Res. 2018 Jul;97(7):844-849.
  19. Rovaris K, Ferreira LM, Sousa TO, et al. Feasibility of micro-computed tomography to detect and classify proximal caries lesions in vitro. Dent Res J (Isfahan). 2018;15(2): 123-129.
  20. Schwass DR, Swain MV, Purton DG, et al. A system of calibrating microtomography for use in caries research. Caries Res. 2009;43(4):314-321.
  21. Haiter-Neto F, dos Anjos Pontual A, Frydenberg M, et al. Detectionofnon-cavitatedapproximalcarieslesionsindigitalimagesfromsevensolid- state receptors with particular focus on task-specific enhancement filters. An ex vivo study in human teeth. Clin Oral Investig. 2008;12:217-223.
  22. Haiter-Neto F, Casanova MS, Frydenberg M, et al. Taskspecific enhancement filters in storage phosphor images from the Vistascan system for detection of proximal caries lesions of known size. Oral Surg Oral Med Oral Pathol Oral Radio Endod. 2009;107:116-121.
  23. Belém MDF, Ambrosano GMB, Tabchoury CPM, et al. Performance of digital radiography with enhancement filters for the diagnosis of proximal caries. Braz Oral Res. 2013;27:245-251.
  24. Deprá LC, Iwaki LCV, Chicarelli M, et al. Influence of Image Filters and Variation in Horizontal Angle of Incidence of X-ray Beam in Digital Interproximal Radiographs for Diagnosis of Secondary Caries in Esthetic Restorations. J Contemp Dent Pract. 2015;16:805-812.
  25. Mejàre I, Källestål C, Stenlund H. Incidence and progression of approximal caries from 11 to 22 years of age in Sweden: a prospective radiographic study. Caries Res. 1999;33: 93-100.
  26. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-174.
  27. Kucuk EB, Malkoc S, Demir A. Microcomputed tomography evaluation of white spot lesion remineralization with various procedures. Am J Orthod Dentofacial Orthop. 2016;150(3): 483-490.
  28. Abogazalah N, Eckert GJ, Ando M. In vitro performance of near infrared light transillumination at 780-nm and digital radiography for detection of non-cavitated approximal caries. J Dent. 2017;63:44-50.
  29. AlHumaid J, Al-Harbi F, El Tantawi M, et al. X-ray microtomography assessment of Carisolv and Papacarie effect on dentin mineral density and amount of removed tissue. Acta Odontol Scand. 2018;76(4):236-240.
  30. Mijan MC, Frencken JE, Schwass DR, et al. Microcomputed Tomography Evaluation of Dentine Mineral Concentration in Primary Molars Managed by Three Treatment Protocols. Caries Res. 2018;52(4):303-311.
  31. Kositbowornnchai S, Basiw M, Promwang Y, et al. Accuracy of diagnosing occlusal caries using enhanced digital images. Dentomaxillofac Radiol. 2004;33:236-240.
  32. Taylor AM, Satterthwaite JD, Ellwood RP, et al. An automated assessment algorithm for micro-CT images of occlusal caries. Surgeon. 2010;8:334-340.
  33. Kamburoðlu K, Kurt H, Kolsuz E, et al. Occlusal caries depth measurements obtained by five different imaging modalities. J Digit Imaging. 2011;24:804-813.
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.