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Gunupati S.,Narayana Dental College and Hospital | Prasad P.R.,JSS Dental College and Hospital | Suryanarayana Raju Y.,Best Dental Science College | Ramesh Reddy B.V.,Narayana Dental College and Hospital
Journal of Clinical and Diagnostic Research | Year: 2013

AOC-a relatively uncommon lesion of odontogenic origin, that is non-invasive, slow growing and composed of odontogenic epithe-lium, shows varied clinical and histoarchitectural patterns. It has been regarded as a benign odontogenic tumour for more than a century, sharing its clinical and radiographic features with that of dentigerous cysts. Few cases which have shown the associa-tion of this lesion with dentigerous cysts have also been reported. Some authors have reported a distinct hybrid variety of this lesion which was derived from dentigerous cysts. An attempt has been made in this article, in describing this lesion as a "hamartomatous odontogenic cyst" rather than a tumour. Although this lesion has been known to the oral pathologists for a long time, its histogenesis still remains obscure. The present case highlights a new school of thought regarding the origin of this lesion.

Sri Kennath J.A.A.,Best Dental Science College
Journal of Forensic Odonto-Stomatology | Year: 2011

Sexual identification of immature skeletal remains is still a difficult problem to solve in Forensic Anthropology. The aim was to evaluate the existence of sexual dimorphism in maxillary first molars. The base sample comprised 200 subjects (100 males and 100 females) aged 17-25 years. The buccolingual (BL) and mesiodistal (MD) diameters of maxillary first molars were measured using digital vernier calipers both intraorally and on study casts. Data was analyzed using Independent sample t-test and paired t-test. Results showed statistically significant sexual dimorphisms in male and female odontometric features. The mean values of the parameters were greater on the left side than on the right side. Amongst the intraoral group, the right maxillary first molar was found to exhibit the greatest sexual dimorphism (5.34%) in terms of buccolingual dimension. Amongst the study cast group, the left maxillary first molar was found to exhibit the greatest sexual dimorphism (5.54%) in terms of buccolingual dimension. The buccolingual dimensions exhibited greater sexual dimorphism than mesiodistal dimensions. Conclusion: sex determination from an incomplete skeleton or young children may be difficult and in such situations the odontometric features of the teeth can be of immense help in determining the sex.

Vijayabala G.S.,College and PGIMSR | Annigeri R.G.,JKK Nataraja Dental College and Hospital | Sudarshan R.,Best Dental Science College
Asian Pacific Journal of Tropical Biomedicine | Year: 2013

Oral cavity is considered to be a kaleidoscope for body's general health. Many systemic conditions do present with diverse oral manifestations. Mucormycosis involving the oral cavity is one such entity that presents as necrosis of bone in immunocompromised patients. Mucormycosis is an opportunistic fungal infection that mainly affects the patients with uncontrolled diabetes mellitus. Hereby, we report a case of mucormycosis involving the palate in a patient with diabetic ketoacidosis. © 2013 Asian Pacific Tropical Biomedical Magazine.

Pushparaj V.,Thiagarajar College of Engineering | Gurunathan U.,Best Dental Science College | Arumugam B.,Thiagarajar College of Engineering
Journal of Electronic Imaging | Year: 2014

Victim identification in mass disasters is a pressing need at present. Since teeth are the most robust parts of the human body and also unique, they can be used as a key component if sufficient dental records are available. This research also aims at dental photographs if there is a nonavailability of radiographs in profusion. In order to reduce the search space, the teeth are initially classified as molar, premolar, and canine using a linear support vector machine and numbered using the universal numbering system. Since the postmortem records are detained for a long span after antemortem records, other issues like missing teeth are considered here. For individual identification, contour information has been proven as a useful measure so far. In addition to contour and skeleton, the texture information of an individual tooth is also incorporated in this paper. The prediction of contour and skeleton using angle and distance parameters is the novelty of this study. The cumulative matching characteristic curve and accuracy curves are plotted to validate the performance of this algorithm. The proposed method identifies the person accurately and signifies that it could give a substantial assistance to forensic odontologist during victim identification. © 2014 SPIE and IS and T.

Pushparaj V.,Thiagarajar College of Engineering | Gurunathan U.,Best Dental Science College | Arumugam B.,Thiagarajar College of Engineering
Journal of Digital Imaging | Year: 2013

Human identification using dental radiographs is important in biometrics. Dental radiographs are mainly helpful for individual and mass disaster identification. In the 2004 tsunami, dental records were proven as the primary identifier of victims. So, this work aims to produce an automatic person identification system with shape extraction and matching techniques. For shape extraction, the available information is edge details, structural content, salient points derived from contours and surfaces, and statistical moments. Out of all these features, tooth contour information is a suitable choice here because it can provide better matching. This proposed method consists of four stages. The first step is preprocessing. The second one involves integral intensity projection for segmenting upper jaw, lower jaw, and individual tooth separately. Using connected component labeling, shape extraction was done in the third stage. The outputs obtained from the previous stage for some misaligned images are not satisfactory. So, it is improved by fast connected component labeling. The fourth stage is calculating Mahalanobis distance measure as a means of matching dental records. The matching distance observed for this method is comparatively better when it is compared with the semi-automatic contour extraction method which is our earlier work. © Society for Imaging Informatics in Medicine 2012.

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