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1.
J Clin Pediatr Dent ; 37(4): 391-5, 2013.
Article in English | MEDLINE | ID: mdl-24046988

ABSTRACT

AIM: This study compared enamel defects in children born prematurely and at term. METHOD: 96 children born at term (G1), and with 96 children born prematurely (G2) were studied. RESULTS: A higher prevalence of enamel defects was found in the premature group, with a predominance of hypoplasia. In G1, 64 teeth displayed enamel defects (51 opacities and 13 hypoplasias). In G2, 110 defective teeth were found, (29 opacities and 81 hypoplasias). A significant correlation was found between very low birth weight (VLBW) and the presence of these defects (p < or = 0.001). The teeth most affected were the incisors, canines and molars. CONCLUSION: Prematurity, in conjunction with other factors, can predispose children to enamel defects.


Subject(s)
Dental Enamel Hypoplasia , Dental Enamel/abnormalities , Infant, Low Birth Weight , Infant, Premature , Case-Control Studies , Dental Enamel Hypoplasia/epidemiology , Female , Humans , Infant, Newborn , Male , Risk Factors , Tooth, Deciduous/abnormalities
2.
J Clin Pediatr Dent ; 31(4): 235-9, 2007.
Article in English | MEDLINE | ID: mdl-19161057

ABSTRACT

This study aimed to validate clinical analysis of 20 pediatric dentists on occlusal groove-fossa-system of molar depth comparing to Cone-beam tomography. The 48 sound third molars were visually classified from the shallowest to the deepest. Images were taken from the Accuitomo 3DX. There was a fair correlation between clinical analysis and the tomographic scorings (rs = 0.238; P = 0.103). It was concluded that pediatric dentists were not able to classify the fissures depth by visual analysis correctly.


Subject(s)
Cone-Beam Computed Tomography/methods , Dental Enamel/diagnostic imaging , Dental Fissures/diagnostic imaging , Molar, Third/diagnostic imaging , Age Factors , Clinical Competence , Cone-Beam Computed Tomography/instrumentation , Dental Enamel/pathology , Dental Fissures/pathology , Dentin/diagnostic imaging , Dentin/pathology , Humans , Image Processing, Computer-Assisted/instrumentation , Image Processing, Computer-Assisted/methods , Imaging, Three-Dimensional/instrumentation , Imaging, Three-Dimensional/methods , Molar, Third/pathology , Observer Variation , Pediatric Dentistry/standards , Time Factors , Visual Perception/physiology
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