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Cannanore, India

Kamakshi G.,Kannur Dental College | Yaranal P.J.,Kannur Medical College
Journal of Clinical and Diagnostic Research | Year: 2014

A chondrolipoma is an extremely rare form of a benign mesenchymal tumour which contains mature fatty tissue and cartilage. We are presenting a case of chondrolipoma of the lower lip which was seen in a 6-year-old girl. Chondrolipomas are rare neoplasms; their terminologies and pathogeneses have been controversial in the past. Chondrolipomas are uncommonly seen in the oral cavity, in children and in females. Hence, we are reporting this present case because rarity of this lesion.

Kunhimangalam R.,National Institute of Technology Calicut | Ovallath S.,Kannur Medical College | Joseph P.K.,National Institute of Technology Calicut
Journal of Mechanics in Medicine and Biology | Year: 2012

The recent years have witnessed an increase in the use of newer analytical tools in the field of medicine to assist in diagnostic procedure. Among the new tools, artificial neural networks (ANNs) have received particular attention because of their ability to analyze complex nonlinear data sets. This study suggests that ANNs can be used for the diagnosis of peripheral nerve disorders particularly the carpal tunnel syndrome (CTS) and neuropathy. This paper aims at building a classifier using a feed forward neural network that can distinguish between CTS, neuropathy, and normal controls using a reduced set of measurements or features from nerve conduction study (NCS) data. Three different ANN training algorithms, viz. LevenbergMarquardt (LM), Conjugate gradient (CGB), and resilient back-propagation (RP) are used to see which algorithm produces better results and has faster training for the application under consideration. The data used were obtained from the Neurology Department, Kannur Medical College, Kerala, India. The obtained resultant confusion matrix indicated only a few misclassifications in all the three cases. The analysis showed that the CGB and RB algorithms provide faster convergence on pattern recognition problems, but the best performance in terms of accuracy is given by the LM algorithm. The accuracy obtained for the LM, CGB, and RB were 98.3%, 97.8%, and 97.2%, respectively. The respective sensitivities were 96.1%, 94.1%, and 94.1%, while the specificities were found to be equal to 99.4%, 98.8%, and 97.5%, respectively. The study aims at showing that ANNs may prove useful in combination with other systems in providing diagnostic and predictive medical opinions. However, it must always be kept in mind that ANNs represent only one form of computer-aided diagnosis, and the clinician's responsibility and overall control of patient care should never be underestimated. © 2012 World Scientific Publishing Company.

Kunhimangalam R.,National Institute of Technology Calicut | Ovallath S.,Kannur Medical College | Joseph P.K.,National Institute of Technology Calicut
BioMed Research International | Year: 2013

The diagnosis of carpal tunnel syndrome, a peripheral nerve disorder, at the earliest possible stage is very crucial because if left untreated it may cause permanent nerve damage reducing the chances of successful treatment. Here a novel Fuzzy Expert System designed using MATLAB is proposed for identification of severity of CTS. The data used were the nerve conduction study data obtained from Kannur Medical College, India. It consists of thirteen input fields, which include the clinical values of the diagnostic test and the clinical symptoms, and the output field gives the disease severity. The results obtained match with the expert's opinion with 98.4% accuracy and high degrees of sensitivity and specificity. Since quantification of the intensity of CTS is a crucial step in the electrodiagnostic procedure and is important for defining prognosis and therapeutic measures, such an expert system can be of immense use in those regions where the service of such specialists may not be readily available. It may also prove useful in combination with other systems in providing diagnostic and predictive medical opinions and can add value if introduced into the routine clinical consultations to arrive at the most accurate medical diagnosis in a timely manner. © 2013 Reeda Kunhimangalam et al.

Yaranal P.J.,Kannur Medical College | Harish S.G.,Basaveshwar Medical College | Purushotham B.,Pariyaram Medical College
Indian Journal of Cancer | Year: 2014

Introduction: Primary intestinal lymphoma (PIL) is defined as an extranodal lymphoma arising in the intestine. This study includes 11 PILs. Objectives: The objective of this study was to evaluate the clinicopathological characteristics of primary non-Hodgkin′s lymphoma (NHL) in the small and large intestine. All cases were reclassified according to the World Health Organization classification of lymphoma in 2001. Immunohistochemistry (IHC) was used to confirm the histopathological diagnosis. Materials and Methods: Eleven cases of primary non-Hodgkin in the small and large intestine were studied retrospectively in a 5 year period. There were seven cases of resected intestinal specimens and four biopsy specimens. Five cases from ileum and two cases each from caecum and duodenum and one case each from jejunum and duodenum. Hematoxylin and eosin stained sections were studied with light microscopy and IHC for CD5, 20, 21 and cyclin D1 were done. Results: It is a retrospective study of 11 cases of intestinal lymphomas. Abdominal pain and abdominal lump were two main common presenting symptoms. NHLs were more common in the small intestine. PILs are common in adults (75% above 46 years) with male preponderance. All were NHLs and B-cell type. Five cases were diffuse large B-cell lymphoma and four cases each were mucosa-associated lymphatic tissue lymphoma and follicular lymphoma. One case was lymphomatoid polyposis or mantle cell lymphoma. Conclusion: PILs is rare and differs significantly from their gastric counterpart, not only in pathology but also with regard to clinical features, management and prognosis. Due to the lack of characteristic symptoms and a low incidence rate, PIL is misdiagnosed until serious complications occur, such as perforation and bleeding and hence needs to be accurately diagnosed.

Hegde V.K.,Kannur Medical College | Khadilkar U.N.,Kasturba Medical College
Indian Journal of Pathology and Microbiology | Year: 2014

Background: Interface dermatitis (ID) refers to a pattern of skin reaction characterized by an inflammatory infiltrate that appears to obscure the dermo-epidermal junction when observed at low power examination and referred to as lichenoid tissue reaction. A wide range of inflammatory skin diseases exhibits interface change with considerable overlap of histological features. The aim of the present study was to study the clinical features and microscopic features of ID. Materials and Methods: The material for the present study consisted of skin biopsy samples collected from patients attending the outpatient Department of Dermatology. The study was conducted for a period of 3 years from 2007 to 2010. During this period, a total of 125 cases was studied. Results: In the present study, a total of 125 cases of ID was studied which presented clinically as papulosquamous disorders. Majority of the cases of ID were seen in women (57.6%). Majority of ID were lichen planus (LP) and its variants (63.2%). Clinicopathological concordance was seen in 109 cases (87.2%) and discordance in 16 cases (12.8%). Conclusion: The mere presence of an interface lichenoid inflammatory reaction should not be the sole criterion for the diagnosis of LP or one of its many variants, as now seems to be the case. A clinicopathologic correlation is absolutely essential for a conclusive diagnosis of ID.

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