Literature DB >> 15897283

Effects of the automatic exposure compensation on the proximal caries diagnosis.

K Yoshiura1, E Nakayama, M Shimizu, T K Goto, T Chikui, T Kawazu, K Okamura.   

Abstract

OBJECTIVE: To elucidate the effect of automatic exposure compensation (AEC) on the diagnostic accuracy of proximal caries by comparing several digital intraoral imaging systems with a film.
MATERIALS AND METHODS: Twenty-seven extracted teeth served as proximal caries samples. Three digital radiographic systems; the Compuray, the Dixel, and the Sens-A-Ray without scintillator layer, and Kodak Ekta-speed Plus films were used as recording media. Radiographs of the teeth samples were obtained with each recording medium under seven to eight different exposures including the optimum level. Six oral radiologists evaluated the possibility of proximal caries with the five-grade-confidence-scale. On digital radiographs, image manipulations were allowed after the initial assessment. Receiver operating characteristic (ROC) curves were obtained at each exposure in each recording medium. The area under the ROC curve (Az) was used as the representative value of diagnostic accuracy. Diagnostic accuracy (DA) curves were obtained by plotting averaged Az values from all observers as a function of incident exposure in each system.
RESULTS: The effect of exposure variation on the DA was slight in the film while it was significantly larger in the digital systems without AEC. Among digital systems, the effect of exposure variation was smaller in the system with AEC than those without AEC. There was no significant effect on the diagnostic accuracy even if digital image manipulation was employed.
CONCLUSION: AEC minimizes the decrease of DA due to inadequate exposures. Since it compensates for the narrow exposure range in the digital intraoral sensor systems, the system with AEC may be preferable for the clinical diagnostic tasks.

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Year:  2005        PMID: 15897283     DOI: 10.1259/dmfr/88681265

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


  6 in total

1.  Can a high-density dental material affect the automatic exposure compensation of digital radiographic images?

Authors:  Neiandro Santos Galvão; Eduarda Helena Leandro Nascimento; Carlos Augusto Souza Lima; Deborah Queiroz Freitas; Francisco Haiter-Neto; Matheus Lima Oliveira
Journal:  Dentomaxillofac Radiol       Date:  2019-01-03       Impact factor: 2.419

2.  A new method to evaluate image quality of CBCT images quantitatively without observers.

Authors:  Yohei Takeshita; Mayumi Shimizu; Kazutoshi Okamura; Shoko Yoshida; Warangkana Weerawanich; Kenji Tokumori; Gainer R Jasa; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2017-02-17       Impact factor: 2.419

3.  Radiographic diagnosis of proximal caries is not affected by exposure protocols and presence of high-density material on systems with automatic exposure compensation.

Authors:  Iris Rafaela Leão Gomes; Eduarda Helena Leandro Nascimento; Hugo Gaêta-Araujo; Maria Luiza Anjos Pontual; Flávia Maria Moraes Ramos-Perez; Andrea Dos Anjos Pontual
Journal:  Oral Radiol       Date:  2021-09-16       Impact factor: 1.882

Review 4.  The missing link in image quality assessment in digital dental radiography.

Authors:  Kazutoshi Okamura; Kazunori Yoshiura
Journal:  Oral Radiol       Date:  2019-07-13       Impact factor: 1.852

5.  Benefits of using a photostimulable phosphor plate protective device.

Authors:  Graziela de Moura; Mariana Boessio Vizzotto; Priscila Fernanda da Silveira Tiecher; Nádia Assein Arús; Heraldo Luis Dias da Silveira
Journal:  Dentomaxillofac Radiol       Date:  2021-01-08       Impact factor: 3.525

6.  Automatic exposure compensation in intraoral digital radiography: effect on the gray values of dental tissues.

Authors:  Evelyn Rute Carneiro Maciel; Eduarda Helena Leandro Nascimento; Hugo Gaêta-Araujo; Maria Luiza Dos Anjos Pontual; Andrea Dos Anjos Pontual; Flávia Maria Moraes Ramos-Perez
Journal:  BMC Med Imaging       Date:  2022-01-05       Impact factor: 1.930

  6 in total

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