Literature DB >> 18316505

Digital enhancement of radiographs for assessment of interproximal dental caries.

V Seneadza1, A Koob, J Kaltschmitt, H J Staehle, J Duwenhoegger, P Eickholz.   

Abstract

OBJECTIVES: Evaluation of a particular digital caries image-enhancing mode (filter) for its effect on the validity of measurements of caries lesion depth.
METHODS: Standardized radiographs of 44 extracted teeth exhibiting interproximal caries lesions were obtained. Six radiographs were obtained of each tooth and digitized. Four radiographs were made using D-speed film with and without soft tissue scattering equivalent (STSE) at normal exposure time (0.32 s) and underexposed (0.16 s). Two were made using E-speed film with STSE normally (0.16 s) and underexposed (0.08 s). On each of the 264 radiographs, 4 independent examiners measured the central depth (CD) of 1 carious lesion per tooth both on the unchanged radiographic image and after use of the filter. Histometric CD assessments provided a gold standard for comparison with the radiographic measurements (validity). Repeated measures ANOVA was calculated for validity in relation to examiner, lesion type, filter, film type, exposure time and STSE.
RESULTS: The lesion type was identified to statistically significantly influence the validity of CD measurements. Examiner in combination with defect type (P<0.001), filter (P = 0.017), exposure (P = 0.027) and film type (P = 0.044) had an additional albeit small effect.
CONCLUSIONS: The lesion type significantly influenced the validity of CD measurements: enamel lesions were less underestimated than dentin lesions.

Entities:  

Mesh:

Year:  2008        PMID: 18316505     DOI: 10.1259/dmfr/51572889

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  10 in total

1.  Diagnostic accuracy of proximal enamel subsurface demineralization and its relationship with calcium loss and lesion depth.

Authors:  E Onem; B G Baksi; B H Sen; O Sögüt; A Mert
Journal:  Dentomaxillofac Radiol       Date:  2011-11-10       Impact factor: 2.419

2.  Comparison of digital systems and conventional dental film for the detection of approximal enamel caries.

Authors:  A A Pontual; D P de Melo; S M de Almeida; F N Bóscolo; F Haiter Neto
Journal:  Dentomaxillofac Radiol       Date:  2010-10       Impact factor: 2.419

3.  Influence of brightness and contrast adjustments on the diagnosis of proximal caries lesions.

Authors:  Eduarda Hl Nascimento; Hugo Gaêta-Araujo; Karla F Vasconcelos; Bernardo B Freire; Christiano Oliveira-Santos; Francisco Haiter-Neto; Deborah Q Freitas
Journal:  Dentomaxillofac Radiol       Date:  2018-06-15       Impact factor: 2.419

4.  The effects of noise reduction, sharpening, enhancement, and image magnification on diagnostic accuracy of a photostimulable phosphor system in the detection of non-cavitated approximal dental caries.

Authors:  Zahra Dalili Kajan; Reza Tayefeh Davalloo; Mayam Tavangar; Fatemeh Valizade
Journal:  Imaging Sci Dent       Date:  2015-06-19

5.  Evaluation of resolution characteristics of digital intraoral radiographic images using a task transfer function.

Authors:  Taku Kuramoto; Shinya Takarabe; Hiroki Tsuru; Yusuke Shibayama; Toyoyuki Kato; Kazunori Yoshiura
Journal:  Oral Radiol       Date:  2022-06-29       Impact factor: 1.882

6.  Restorative treatment thresholds for interproximal primary caries based on radiographic images: findings from the Dental Practice-Based Research Network.

Authors:  Valeria V Gordan; Cynthia W Garvan; Marc W Heft; Jeffrey L Fellows; Vibeke Qvist; D Brad Rindal; Gregg H Gilbert
Journal:  Gen Dent       Date:  2009 Nov-Dec

7.  Efficacy of application of pseudocolor filters in the detection of interproximal caries.

Authors:  Maryam Zangooei Booshehry; Abdolrahim Davari; Fatemeh Ezoddini Ardakani; Mohammad Reza Rashidi Nejad
Journal:  J Dent Res Dent Clin Dent Prospects       Date:  2010-09-16

Review 8.  Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems.

Authors:  Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2021-03-04       Impact factor: 3.525

9.  Bio-Photonic Detection and Quantitative Evaluation Method for the Progression of Dental Caries Using Optical Frequency-Domain Imaging Method.

Authors:  Ruchire Eranga Wijesinghe; Nam Hyun Cho; Kibeom Park; Mansik Jeon; Jeehyun Kim
Journal:  Sensors (Basel)       Date:  2016-12-06       Impact factor: 3.576

10.  Assessment of diagnostic accuracy of a direct digital radiographic-CMOS image with four types of filtered images for the detection of occlusal caries.

Authors:  Rohit Kumar Sahu; Jagadish P Rajguru; Naina Pattnaiak; Debajyoti Bardhan; Bikash Nayak
Journal:  J Family Med Prim Care       Date:  2020-01-28
  10 in total

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