Literature DB >> 11803388

Influence of the validation method on diagnostic accuracy for caries. A comparison of six digital and two conventional radiographic systems.

H Hintze1, A Wenzel.   

Abstract

OBJECTIVE: To evaluate the influence of the validation method on the diagnostic accuracy and the relative comparison of eight radiographic systems for caries detection.
METHODS: Three hundred and thirty-eight approximal and 145 occlusal surfaces were radiographed under standardised conditions using six CCD-based sensor systems: MPDx (Dental/Medical Diagnostic Systems Inc., Woodland Hills, CA, USA), Dixi (Planmeca, Helsinki, Finland), Sidexis (Sirona, Bensheim, Germany), RVG(old) (Trophy, Paris, France, 1994 model), RVG(new) (Trophy, Paris, France, 2000 model) and Visualix (Gendex, Milan, Italy) and two film systems: Ektaspeed Plus and Insight (Eastman Kodak, Rochester, NY, USA). Four observers examined the radiographs for approximal and occlusal caries using a five-point confidence scale. The presence of caries was validated histologically and radiographically. Diagnostic accuracy was evaluated using ROC curve areas (A(z)).
RESULTS: For both approximal and occlusal caries the mean A(z) of the eight radiographic systems was significantly higher using radiographic than histological validation (P<0.001). Using histological validation for approximal caries, Dixi (A(z)=0.71) and Ektaspeed Plus (A(z)=0.7) were not significantly different, but Dixi was significantly more accurate than the other digital systems and the Insight film. Using radiographic validation for approximal caries, Ektaspeed Plus (A(z)=0.87) was significantly more accurate than Dixi (A(z)=0.82). Dixi was significantly more accurate than MPDx (A(z)=0.74), RVG(old) (A(z)=0.77), RVG(new) (A(z)=0.77) and Visualix (A(z)=0.76). Corresponding variations were found for occlusal caries depending on the validation method. Using histological validation, MPDx (A(z)=0.76) was significantly less accurate than Dixi (A(z)=0.81), Sidexis (A(z)=0.8), Ektaspeed Plus (A(z)=0.82) and Insight (A(z)=0.81). Using radiographic validation, MPDx (A(z)=0.83) was also significantly less accurate than RVG(old) (A(z)=0.89) and RVG(new) (A(z)=0.9).
CONCLUSION: A(z) obtained from radiographic validation was significantly higher than A(z) obtained from histological validation. Comparison of the diagnostic efficacy for caries of the eight radiographic systems was strongly influenced by the validation method. DOI: 10.1038/sj/dmfr/4600645

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Mesh:

Year:  2002        PMID: 11803388     DOI: 10.1038/sj/dmfr/4600645

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


  14 in total

1.  Comparison of validation methods for the diagnosis of occlusal caries in primary molars.

Authors:  M D M Oliveira; T K Tedesco; T L Lenzi; A C Guedes Pinto; R O Rocha
Journal:  Eur Arch Paediatr Dent       Date:  2012-04

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.  Detection of artificial occlusal caries in a phosphor imaging plate system with two types of LCD monitors versus three different films.

Authors:  Mehmet Ilgüy; Semanur Dinçer; Dilhan Ilgüy; Gündüz Bayirli
Journal:  J Digit Imaging       Date:  2008-10-24       Impact factor: 4.056

4.  In vitro comparison of digital and conventional bitewing radiographs for the detection of approximal caries in primary teeth exposed and viewed by a new wireless handheld unit.

Authors:  T Ulusu; H Bodur; M E Odabaş
Journal:  Dentomaxillofac Radiol       Date:  2010-02       Impact factor: 2.419

5.  Radiopacity of dental restorative materials.

Authors:  Tomaž Hitij; Aleš Fidler
Journal:  Clin Oral Investig       Date:  2012-07-24       Impact factor: 3.573

6.  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

7.  Beam hardening correction tool improves the diagnosis of incipient caries lesions in Micro-CT images.

Authors:  Karla Rovaris; Saulo Leonardo Sousa Melo; Polyane Mazucatto Queiroz; Carolina Loch; Donald R Schwass; Francisco Haiter-Neto
Journal:  Dentomaxillofac Radiol       Date:  2018-09-04       Impact factor: 2.419

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.  Diagnostic accuracy of digital and conventional radiography in the detection of non-cavitated approximal dental caries.

Authors:  Farida Abesi; Alireza Mirshekar; Ehsan Moudi; Maryam Seyedmajidi; Sina Haghanifar; Nima Haghighat; Ali Bijani
Journal:  Iran J Radiol       Date:  2012-03-25       Impact factor: 0.212

10.  Effect of differences in pixel size on image characteristics of digital intraoral radiographic systems: a physical and visual evaluation.

Authors:  Taku Kuramoto; Shinya Takarabe; Kazutoshi Okamura; Kenshi Shiotsuki; Yusuke Shibayama; Hiroki Tsuru; Hiroshi Akamine; Masato Tatsumi; Toyoyuki Kato; Junji Morishita; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-05-07       Impact factor: 2.419

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