Intraoral<i>versus</i>extraoral bitewing radiography in detection of enamel proximal caries: an<i>ex vivo</i>study

El-Ela, Walaa Hussein Abu; Farid, Mary; Mostafa, Mostafa Saad El-Din

doi:10.1259/dmfr.20150326

Cited by 28 publications

(22 citation statements)

References 26 publications

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“…Proximal lesions are hard to visualize during the clinical exam, and if not detected during the initial stages, radiographs and tooth separation often reveal their presence Evidence of a proximal lesion in one tooth raises significant concerns since the neighboring tooth in most cases is also affected. Proximal lesions do eventually appear clinically as opaque areas on buccal and lingual surfaces [45][46][47].…”

Section: Interproximal Cariesmentioning

confidence: 99%

Dental Anatomical Features and Caries: A Relationship to be Investigated

Paiva¹,

MangueiraLeite²,

Farias³

et al. 2018

Dental Anatomy

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Dental caries is a multifactor disease affecting a significant number of people throughout the world. However, in recent decades the widespread availability of fluoride and other preventive measures have resulted in a decline in the prevalence of caries among children and young adults. Currently, it is accepted that most carious dental lesions are restricted to specific anatomical sites. The aim of this chapter is to review the influence of dental anatomy on dental caries development while taking into account recent findings in cariology. Occlusal fissures in the first permanent molar are generally the first sites in the permanent dentition to develop caries. An increased risk of caries is also found in proximal contacting surfaces between two adjacent teeth. Moreover, a partially erupted tooth, which does not participate in mastication, is also at risk for caries since it may provide a more favorable environment for bacterial accumulation than a fully erupted tooth. Bacterial biofilm on the tooth is frequently a high risk caries environment. Understanding anatomical dental features is of great importance for guiding oral health hygiene and preventive measures. Finally, the development of dental disorders plays an important role in dental caries risk.

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Section: Interproximal Cariesmentioning

confidence: 99%

Dental Anatomical Features and Caries: A Relationship to be Investigated

Paiva¹,

MangueiraLeite²,

Farias³

et al. 2018

Dental Anatomy

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show abstract

“…The receiver operating curves, or ROC curves, are a widely accepted method for the evaluation and comparison of performance of a test [18][19][20][21]. ROC curves have been used extensively in medicine; in dentistry, they are beginning to be used in radiology in areas like early caries detection, maxillary canine impaction and cephalometric diagnosis of skeletal patterns [22,23,[29][30][31].…”

Section: Discussionmentioning

confidence: 99%

Sensitivity and Specificity of Cephalometric Measures for the Diagnosis of Sagittal Skeletal Malocclusion

Bernal

Barbosa-Liz

Echeverry

et al. 2019

Pesqui. bras. odontopediatria clín. integr.

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Objective: To evaluate and compare sensitivity and specificity of ANB, Wits, APDI and AF-BF to diagnose sagittal skeletal malocclusions, in children between 6 to 12 years old, using ROC curves, a widely accepted method for the analysis and evaluation of diagnostic tests. Material and Methods: A descriptive-comparative study of diagnostic tests was conducted. From a population of 3,000 children, a non-probabilistic sample of 209 was selected. The clinical classification of the patients as class I, II or III, made by a group of experts based on the visual inspection of models and photographs, was chosen as the gold standard. After calibration (ICC>0.94) the variables were measured in cephalograms. Eight ROC curves were plotted (I vs II, and I vs III for each one of the variables). The area under the curve was measured and compared (Ji-square test). Cut points were established. Results: To discriminate Class I from II, ANB showed the largest area under the curve (AUC) (0.876) and the cut point (best sensitivity and specificity) was at 5.75°. To discriminate class I from III, Wits showed the largest AUC (0.874) with a cut point of-3.25 mm. There were no statistical differences between the AUC for the four variables (p=0.48 y p=0.38 for class I-II and I-III). Conclusion: ANB and Wits performed better for the diagnosis of class II and III, respectively. Cut points in children were different from those reported in adults.

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“…11 The diagnostic accuracy of digital systems and film-based radiographs has been compared for several diagnostic-specific tasks, with different results. [12][13][14][15][16][17][18][19][20][21] However, the authors are aware of only 2 studies that addressed diagnostic accuracy for the detection of misfits at the implant-prosthesis interface, with conflicting results regarding comparisons between CCD systems and film-based radiographs. 8,9 Digital radiographs obtained with digital systems can be either visualized with the same software program used for imaging acquisition (proprietary software program) or in an imaging viewer (third-party software program).…”

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confidence: 99%

Influence of radiographic acquisition methods and visualization software programs on the detection of misfits at the implant-abutment interface: An ex vivo study

Siqueira

Mota

de-Azevedo-Vaz

2022

The Journal of Prosthetic Dentistry

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Intraoralversusextraoral bitewing radiography in detection of enamel proximal caries: anex vivostudy

Abstract: Within the limits of the ex vivo design, the difference in diagnostic accuracy between the three radiographic techniques was not significant. EO BW could be used in the detection of enamel proximal caries with results comparable with intraoral bitewing with PSP plate and CMOS sensor.

Cited by 28 publications

References 26 publications

Dental Anatomical Features and Caries: A Relationship to be Investigated

Dental Anatomical Features and Caries: A Relationship to be Investigated

Sensitivity and Specificity of Cephalometric Measures for the Diagnosis of Sagittal Skeletal Malocclusion

Influence of radiographic acquisition methods and visualization software programs on the detection of misfits at the implant-abutment interface: An ex vivo study

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