Literature DB >> 21831972

Evaluation of proximal caries in images resulting from different modes of radiographic digitalization.

C R G Xavier1, Ana Claudia Araujo-Pires, M L Poleti, I R F Rubira-Bullen, O Ferreira, A L A Capelozza.   

Abstract

OBJECTIVE: The aim of this study was to evaluate the performances of observers in diagnosing proximal caries in digital images obtained from digital bitewing radiographs using two scanners and four digital cameras in Joint Photographic Experts Group (JPEG) and tagged image file format (TIFF) files, and comparing them with the original conventional radiographs.
METHOD: In total, 56 extracted teeth were radiographed with Kodak Insight film (Eastman Kodak, Rochester, NY) in a Kaycor Yoshida X-ray device (Kaycor X-707; Yoshida Dental Manufacturing Co., Tokyo, Japan) operating at 70 kV and 7 mA with an exposure time of 0.40 s. The radiographs were obtained and scanned by CanonScan D646U (Canon USA Inc., Newport News, VA) and Genius ColorPage HR7X (KYE Systems Corp. America, Doral, FL) scanners, and by Canon Powershot G2 (Canon USA Inc.), Canon RebelXT (Canon USA Inc.), Nikon Coolpix 8700 (Nikon Inc., Melville, NY), and Nikon D70s (Nikon Inc.) digital cameras in JPEG and TIFF formats. Three observers evaluated the images. The teeth were then observed under the microscope in polarized light for the verification of the presence and depth of the carious lesions.
RESULTS: The probability of no diagnosis ranged from 1.34% (Insight film) to 52.83% (CanonScan/JPEG). The sensitivity ranged from 0.24 (Canon RebelXT/JPEG) to 0.53 (Insight film), the specificity ranged from 0.93 (Nikon Coolpix/JPEG, Canon Powershot/TIFF, Canon RebelXT/JPEG and TIFF) to 0.97 (CanonScan/TIFF and JPEG) and the accuracy ranged from 0.82 (Canon RebelXT/JPEG) to 0.91 (CanonScan/JPEG).
CONCLUSION: The carious lesion diagnosis did not change in either of the file formats (JPEG and TIFF) in which the images were saved for any of the equipment used. Only the CanonScan scanner did not have adequate performance in radiography digitalization for caries diagnosis and it is not recommended for this purpose.

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Mesh:

Year:  2011        PMID: 21831972      PMCID: PMC3520336          DOI: 10.1259/dmfr/67185962

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


  15 in total

1.  Interaction between noise and file compression and its effect on the recognition of caries in digital imaging.

Authors:  A Janhom; P F van der Stelt; F C van Ginkel
Journal:  Dentomaxillofac Radiol       Date:  2000-01       Impact factor: 2.419

2.  Performance of film, desktop monitor and laptop displays in caries detection.

Authors:  J B Ludlow; M Abreu
Journal:  Dentomaxillofac Radiol       Date:  1999-01       Impact factor: 2.419

3.  Concurrent validity of an epidemiological diagnostic system for caries with the histological appearance of extracted teeth as validating criterion.

Authors:  M C Downer
Journal:  Caries Res       Date:  1975       Impact factor: 4.056

4.  The deal on digital: the status of radiographic imaging.

Authors:  D A Miles
Journal:  Compend Contin Educ Dent       Date:  2001-12

5.  A comparison of two compression algorithms and the detection of caries.

Authors:  A Janhom; P F van der Stelt; G C H Sanderink
Journal:  Dentomaxillofac Radiol       Date:  2002-07       Impact factor: 2.419

6.  Effect of image magnification of digitized bitewing radiographs on approximal caries detection: an in vitro study.

Authors:  A Møystad; D B Svanaes; T A Larheim; H G Gröndahl
Journal:  Dentomaxillofac Radiol       Date:  1995-11       Impact factor: 2.419

7.  Factors determining the diagnostic accuracy of digitized conventional intraoral radiographs.

Authors:  M Ohki; T Okano; T Nakamura
Journal:  Dentomaxillofac Radiol       Date:  1994-05       Impact factor: 2.419

8.  Scanning resolution and the detection of approximal caries.

Authors:  A Janhom; F C van Ginkel; J P van Amerongen; P F van der Stelt
Journal:  Dentomaxillofac Radiol       Date:  2001-05       Impact factor: 2.419

9.  Detection of non-cavitated approximal caries lesions in digital images from seven solid-state receptors with particular focus on task-specific enhancement filters. An ex vivo study in human teeth.

Authors:  Francisco Haiter-Neto; Andrea dos Anjos Pontual; Morten Frydenberg; Ann Wenzel
Journal:  Clin Oral Investig       Date:  2008-01-22       Impact factor: 3.573

Review 10.  The challenges of validating diagnostic methods and selecting appropriate gold standards.

Authors:  M-C D N J M Huysmans; C Longbottom
Journal:  J Dent Res       Date:  2004       Impact factor: 6.116

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  3 in total

1.  Effect of Different Tube Potential Settings on Caries Detection using PSP Plate and Conventional Film.

Authors:  Daniela Pita De Melo; Adriana Dibo Cruz; Saulo Leonardo Sousa Melo; Julyanna Filgueiras GonçAlves De Farias; Francisco Haiter-Neto; Solange Maria De Almeida
Journal:  J Clin Diagn Res       Date:  2015-04-01

2.  Radiographic diagnosis of proximal caries-influence of experience and gender of the dental staff.

Authors:  Margrit-Ann Geibel; S Carstens; U Braisch; A Rahman; M Herz; A Jablonski-Momeni
Journal:  Clin Oral Investig       Date:  2017-02-23       Impact factor: 3.573

3.  Imaging modalities to inform the detection and diagnosis of early caries.

Authors:  Tanya Walsh; Richard Macey; Philip Riley; Anne-Marie Glenny; Falk Schwendicke; Helen V Worthington; Janet E Clarkson; David Ricketts; Ting-Li Su; Anita Sengupta
Journal:  Cochrane Database Syst Rev       Date:  2021-03-15
  3 in total

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