Literature DB >> 17881594

Grey levels and radiolucent lesion depth as cavity predictors for approximal dentin caries lesions in primary teeth.

A A S Mariath1, L Casagrande, F B de Araujo.   

Abstract

OBJECTIVES: This study investigated grey levels and radiolucent lesion depth as cavity predictors for approximal dentin caries lesions in primary teeth.
METHODS: 51 children (4-10 years old), presenting with radiolucency in the outer half of the dentin on the approximal surfaces of deciduous molar teeth and approximal anatomic contact with the adjacent tooth (without restoration or cavitated caries lesion), participated in the study. Bitewing radiographs were made, and temporary tooth separation was performed and an impression taken to detect cavitation. Radiographs were scanned (300 dpi) and grey levels were measured in carious and sound dentin. Impressions were also scanned and the size of cavity opening was measured in square millimetres.
RESULTS: Grey levels of carious dentin (115.27+/-33.52) were significantly lower compared with sound dentin (151.88+/-30.99). No significant differences were observed in the dentin degree of radiolucency between "cavitated" and "non-cavitated" carious dentin. Cavitated lesions showed deeper radiolucent lesions compared with non-cavitated ones (P=0.03). There was no association between the size of cavitation and radiolucent lesion depth.
CONCLUSIONS: Grey levels did not indicate cavitation in the outer half of the approximal dentin lesions. However, extension of a radiolucent lesion deep into the outer half of the dentin was associated with cavitated lesions independently of the size of cavitation. A computer-aided image analysis may help clinicians in monitoring caries progression and evaluating the probability of occurrence of cavitated caries lesions.

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Year:  2007        PMID: 17881594     DOI: 10.1259/dmfr/88910115

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


  6 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.  Detection of cavitated approximal surfaces using cone beam CT and intraoral receptors.

Authors:  A Wenzel; E Hirsch; J Christensen; L H Matzen; G Scaf; M Frydenberg
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

3.  Detecting demineralization of enamel and cementum after gamma irradiation using radiographic densitometry.

Authors:  Rowida Abdalla; Amr Omar; Kareem Eid
Journal:  Radiat Environ Biophys       Date:  2018-06-14       Impact factor: 1.925

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.  Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.

Authors:  Sarena Talpur; Fahad Azim; Munaf Rashid; Sidra Abid Syed; Baby Alisha Talpur; Saad Jawaid Khan
Journal:  J Healthc Eng       Date:  2022-03-31       Impact factor: 2.682

6.  Evaluation of different methods for the diagnosis of primary caries lesions: Study protocol for a randomized controlled clinical trial.

Authors:  Ana Paula Taboada Sobral; Marcela Letícia Leal Gonçalves; Alexandre Senkiw D Annibale; Elaine Marcilio Santos; Carolina Cardoso Guedes; Juliana Maria Altavista Sagretti Gallo; Elza Padilha Ferri; Lívia Alves Corrêa Moretti; Lara Jansiski Motta; Alessandro Melo Deana; Anna Carolina Ratto Tempestini Horliana; Sandra Kalil Bussadori
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

  6 in total

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