Literature DB >> 12076051

Detection of approximal caries in digital radiographs before and after correction for attenuation and visual response. An in vitro study.

G Li1, K Yoshiura, U Welander, X Q Shi, W D McDavid.   

Abstract

OBJECTIVE: To evaluate if digital compensation for exponential attenuation and the characteristics of the human visual system improves the diagnosis of approximal caries from digital radiographs.
MATERIAL AND METHODS: Forty premolar teeth were mounted in plaster blocks. Radiographs of the teeth were exposed with the Dixi digital intraoral system employing a Prostyle Intra dental X-ray unit (Planmeca Oy, Helsinki, Finland). Thirteen radiographs were then processed to compensate for the exponential attenuation and for the characteristic of the human visual system using equations presented in the paper. Ten observers were asked to diagnose approximal caries in all radiographs. ROC analyses were performed. The teeth were subsequently sectioned for histological validation of the lesions. The areas under ROC curves of original and processed radiographs were compared and analysed using Wilcoxon's signed-ranks test.
RESULTS: There were significant diagnostic differences between the two types of radiographs (all lesions P=0.005. enamel P=0.028, and dentine P=0.050).
CONCLUSION: Digital radiographs processed to compensate for exponential attenuation and the characteristics of the human visual system significantly improves the diagnosis of approximal caries in vitro.

Entities:  

Mesh:

Year:  2002        PMID: 12076051     DOI: 10.1038/sj/dmfr/4600675

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


  8 in total

1.  Accuracy of direct digital radiography for detecting occlusal caries in primary teeth compared with conventional radiography and visual inspection: an in vitro study.

Authors:  P R Dias da Silva; M Martins Marques; W Steagall; F Medeiros Mendes; C A Lascala
Journal:  Dentomaxillofac Radiol       Date:  2010-09       Impact factor: 2.419

2.  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

3.  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

4.  Grey value contrast sensitivity of dental practitioners in function of luminance and age.

Authors:  Wolfgang Jacquet; Roberto G Cleymaet; Peter Bottenberg
Journal:  Dentomaxillofac Radiol       Date:  2019-02-26       Impact factor: 2.419

Review 5.  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

6.  Comparison of the diagnostic accuracy of direct digital radiography system, filtered images, and subtraction radiography.

Authors:  Wilton Mitsunari Takeshita; Lilian Cristina Vessoni Iwaki; Mariliani Chicarelli Da Silva; Liogi Iwaki Filho; Alfredo De Franco Queiroz; Lucas Bachegas Gomes Geron
Journal:  Contemp Clin Dent       Date:  2013-07

7.  Image enhancement of digital periapical radiographs according to diagnostic tasks.

Authors:  Jin-Woo Choi; Won-Jeong Han; Eun-Kyung Kim
Journal:  Imaging Sci Dent       Date:  2014-03-19

8.  Dental radiography image enhancement for treatment evaluation through digital image processing.

Authors:  Hanifah Rahmi-Fajrin; Sartika Puspita; Slamet Riyadi; Erma Sofiani
Journal:  J Clin Exp Dent       Date:  2018-07-01
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.