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RESEARCH ARTICLE
Year : 2011  |  Volume : 23  |  Issue : 5  |  Page : 304-307

Radiographic assessment of proximal caries: A comparison between film-based and dexis digital imaging systems


1 Professor, Department of Oral Medicine and Radiology, College of Dental Sciences, Davangere, Karnataka, India
2 Professor and Head, Department of Oral Medicine and Radiology, UP Dental College and Research Centre, Lucknow, Uttar Pradesh, India
3 Professor and Head, Department of Oral Medicine and Radiology, BVU Dental College and Hospital, Pune, Maharashtra, India

Correspondence Address:
Anupama N Kalappanavar
Professor, Department of Oral Medicine and Radiology, College of Dental Sciences Davangere, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.5005/jp-journals-10011-1155

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This study compared Kodak Ektaspeed film and Dexis digital imaging systems for their diagnostic accuracy in detection of proximal canes in 210 proximal surfaces from 105 extracted human teeth (20 premolars and 85 molars), 129 of which were carious. Ground teeth were evaluated histologically. The images were assessed by an observer. ANOVA revealed that groups differ in scoring patterns with f-value of 26.72 and p < 0.01. The mean caries score by histologic assessment was significantly (p < 0.01) more when compared with the scores obtained by conventional and Dexis digital radiographic methods. The mean score for conventional radiographic method was slightly more than Dexis digital radiographic method, but the difference was statistically insignificant (p < 0.05). Both the radiographic methods were less accurate in detecting proximal canes confined to enamel, but as the lesion depth was increased to dentin, the rate of caries detection increased dramatically. It was concluded that both conventional and Dexis digital radiographic methods under estimated canes depth when compared with histologic method. Lastly, conventional film radiographs and Dexis digital radiographs did not perform significantly different from each other in the detection of canes.


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