Literature DB >> 19557443

Effect of computer assistance on observer performance of approximal caries diagnosis using intraoral digital radiography.

Kazuyuki Araki1, Yukiko Matsuda, Kenji Seki, Tomohiro Okano.   

Abstract

Logicon Caries Detector (LDDC) is the only commercially available computer-assisted diagnostic system for caries diagnosis. The object of this study is to elucidate the efficacy of LDDC when used by inexperienced dentists. Fifty extracted teeth were imaged using an RVG6000. Seven dentists who had just passed the Japanese National Dental Board Examination observed those images without LDDC (woLDDC) and assessed the probability that caries lesions were present, then re-assessed the same teeth using LDDC (wLDDC). The areas under the receiver operating characteristic curves (Az) were compared. No statistically significant difference was found between woLDDC Az values and wLDDC Az values when caries lesions of all depths were considered. When positive cases were restricted to caries lesions in the inner half of the enamel or to dentine caries lesions, however, wLDDC Az values were significantly larger than woLDDC (p = 0.043 and 0.018, respectively).

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Year:  2009        PMID: 19557443     DOI: 10.1007/s00784-009-0307-z

Source DB:  PubMed          Journal:  Clin Oral Investig        ISSN: 1432-6981            Impact factor:   3.573


  37 in total

1.  Computer-automated caries detection in digital bitewings: consistency of a program and its influence on observer agreement.

Authors:  A Wenzel
Journal:  Caries Res       Date:  2001 Jan-Feb       Impact factor: 4.056

2.  Comparing the accuracy of Dutch dentists and dental students in the radiographic diagnosis of dentinal caries.

Authors:  P A Mileman; W B van den Hout
Journal:  Dentomaxillofac Radiol       Date:  2002-01       Impact factor: 2.419

3.  Accuracy of computer-automated caries detection in digital radiographs compared with human observers.

Authors:  Ann Wenzel; Hanne Hintze; Louise Mejlhede Kold; Simon Kold
Journal:  Eur J Oral Sci       Date:  2002-06       Impact factor: 2.612

Review 4.  Modern concepts of caries measurement.

Authors:  N B Pitts
Journal:  J Dent Res       Date:  2004       Impact factor: 6.116

5.  Sliding window adaptive histogram equalization of intraoral radiographs: effect on image quality.

Authors:  T Sund; A Møystad
Journal:  Dentomaxillofac Radiol       Date:  2006-05       Impact factor: 2.419

6.  Toward automatic computer aided dental X-ray analysis using level set method.

Authors:  Shuo Li; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

7.  A model for dentinal caries progression by digital subtraction radiography.

Authors:  J J Maggio; E M Hausmann; K Allen; T V Potts
Journal:  J Prosthet Dent       Date:  1990-12       Impact factor: 3.426

8.  Evaluation of a limited cone-beam volumetric imaging system: comparison with film radiography in detecting incipient proximal caries.

Authors:  Ryoko Tsuchida; Kazuyuki Araki; Tomohiro Okano
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2007-07-06

9.  Image analysis of bitewing radiographs: a histologically validated comparison with visual assessments of radiolucency depth in enamel.

Authors:  N B Pitts; C E Renson
Journal:  Br Dent J       Date:  1986-03-22       Impact factor: 1.626

10.  An in vitro study of the characteristics of a computer-aided radiographic evaluation (CARE) system for longitudinal assessment of density changes.

Authors:  Y Zubery; S B Dove; J Ebersole
Journal:  J Periodontal Res       Date:  1993-07       Impact factor: 4.419

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  6 in total

1.  Application of Bayesian classifier for the diagnosis of dental pain.

Authors:  Subhagata Chattopadhyay; Rima M Davis; Daphne D Menezes; Gautam Singh; Rajendra U Acharya; Toshio Tamura
Journal:  J Med Syst       Date:  2010-10-13       Impact factor: 4.460

Review 2.  Advances in diagnostic imaging for pathologic conditions of the jaws.

Authors:  Byron W Benson; Diane J Flint; Hui Liang; Michael J Opatowsky
Journal:  Head Neck Pathol       Date:  2014-11-20

3.  The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

Authors:  Manal H Hamdan; Lyudmila Tuzova; André Mol; Peter Z Tawil; Dmitry Tuzoff; Donald A Tyndall
Journal:  Dentomaxillofac Radiol       Date:  2022-09-12       Impact factor: 3.525

Review 4.  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

Review 5.  Scope and challenges of machine learning-based diagnosis and prognosis in clinical dentistry: A literature review.

Authors:  Lilian Toledo Reyes; Jessica Klöckner Knorst; Fernanda Ruffo Ortiz; Thiago Machado Ardenghi
Journal:  J Clin Transl Res       Date:  2021-07-30

6.  Designing of a Computer Software for Detection of Approximal Caries in Posterior Teeth.

Authors:  Solmaz Valizadeh; Mostafa Goodini; Sara Ehsani; Hadis Mohseni; Fateme Azimi; Hooman Bakhshandeh
Journal:  Iran J Radiol       Date:  2015-08-05       Impact factor: 0.212

  6 in total

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