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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Iranian Journal of Otorhinolaryngology
- نوع مقاله: Journal Article
- کلمات کلیدی: Xanthoma,Hoarseness,Vocal cord
- چکیده:
- چکیده انگلیسی: Introduction: Xanthoma disseminatum (XD) is a rare, benign, non-Langerhans cell histiocytic disorder with unknown etio-pathology. It manifests with multiple, grouped, red-brown to yellow papules and nodules involving the skin, mucous membranes, and internal organs with a predilection for flexures and the face. Case Report: We report a patient who presented with disseminated xanthomatous papules and nodules involving the face, neck, trunk, axilla, groin, and oral cavity, along with hoarseness of voice. Video laryngoscopy revealed multiple yellowish nodules over the base of the tongue, vallecula, laryngeal surface of the epiglottis, ary-epiglottic folds, interarytenoid region, and subglottic region. Histopathology was suggestive of xanthoma disseminatum and the patient was treated with tablet acitretin 25mg daily for three months without any response. Following this, the patient was prescribed tablet thalidomide 100 mg daily without any significant improvement at the end of two months. Conclusion: Xanthoma disseminatum is a very rare form of non-Langerhans cell histiocytosis that classically presents with cutaneous xanthomas, mucosal xanthomas, and diabetes insipidus. Hoarseness of voice due to lesions involving the larynx is a rare symptom. Because the disease has punctated, numerous relapses and causes morbidity to the patient, its multisystem manifestations have to be known. Therefore, xanthoma disseminatum has to be kept in mind as a differential diagnosis for hoarseness of voice.
- انتشار مقاله: 12-03-1395
- نویسندگان: Biswanath Behera,Munisamy Malathi,Devinder-Mohan Thappa,Hemanth Vamanshankar,Pradipta-Kumar Parida,Debasis Gochhait
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Lung,SVM Classifier,Otsu’s thresholding,Computer Tomography,Active contour segmentation
- چکیده:
- چکیده انگلیسی: Objective: Generally, lung cancer is the abnormal growth of cells that originates in one or both lungs. Finding the
pulmonary nodule helps in the diagnosis of lung cancer in early stage and also increase the lifetime of the individual.
Accurate segmentation of normal and abnormal portion in segmentation is challenging task in computer-aided diagnostics.
Methods: The article proposes an innovative method to spot the cancer portion using Otsu’s segmentation algorithm. It
is followed by a Support Vector Machine (SVM) classifier to classify the abnormal portion of the lung image. Results:
The suggested methods use the Otsu’s thresholding and active contour based segmentation techniques to locate the
affected lung nodule of CT images. The segmentation is followed by an SVM classifier in order to categorize the
affected portion is normal or abnormal. The proposed method is suitable to provide good and accurate segmentation
and classification results for complex images. Conclusion: The comparative analysis between the two segmentation
methods along with SVM classifier was performed. A classification process based on active contour and SVM techniques
provides better than Otsu’s segmentation for complex lung images.- انتشار مقاله: 24-04-1397
- نویسندگان: M Malathi,P Sinthia,K Jalaldeen
- مشاهده