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Introduction: Rhinoscleroma is a rare, chronic, granulomatous disease that most frequently affects the upper respiratory tract, especially the nasal cavity and sometimes extends through the lower respiratory tract. Is associated with Klebsiella rhinoscleromatis, which is endemic in certain geographic regions namely Central America. The pathogenesis and risk factors remain unclear. Clinical case: We report a five years Old Portuguese boy, previously healthy, brought to the Emergency Department with epistaxis, without other accompanying signs or symptoms. The Otorhinolaryngologist (ORL) performed rhinoscopy and identified an intranasal bleeding mass. The MRI revealed an intranasal mass with extension to the ethmoid bone sinus, and performed biopsy. The histopathology was vital, making the diagnosis of Rhinoscleroma. The child had traveled abroad for the first time on vacations a year before to Dominican Republic. The bacteriologic exam identified a Klebsiella spp. sensible to the association of amoxicillin and clavulanic acid. Blood test performed excluded association of immunodeficiency. Since it’s a rare disease genetic study are under course. Monthly evaluation by ORL and pediatrician was performed which documented progressive reduction until total disappearing of the macro and microscopic lesion, and negative bacteriologic exam. Six months of antibiotic therapy were completed without any known secondary effects. The child remained asymptomatic up to the last visit, 3 months following treatment and has shown no evidence of recurrence. Conclusion: Globalization and free transit of people to areas far from origin countries here some rare diseases are endemic brings a new challenge to modern medicine. Sometimes vacations bring more than memories.

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Chronic leg ulcers are persistent conditions that might be a diagnostic and therapeutic challenge, with great impact in health care costs and patients’ quality of life. We report a case of a 60-year-old woman, with long-lasting recalcitrant leg ulcers, which led to left leg amputation 10 years ago. Several attempts to heal the right leg were made, including skin grafting in three different occasions and several surgical debridements, all with unsatisfactory outcome. Some months before the ulcers began, the patient had been diagnosed with undifferentiated connective tissue disease because of arthralgia and positive antinuclear antibodies, therefore low dose systemic corticosteroids and azathioprine were prescribed. For the last 4 years she has been followed in our department and since then no evidence of clinical or laboratorial criteria for autoimmune diseases was found, thus the immunosuppressive therapy was stopped. She maintained ever since a high rheumatoid factor but without other evidence of autoimmune disease. Medical history was otherwise irrelevant. Several cutaneous biopsies were performed, with no evidence of malignancy or vasculitis. Recently, cryoglobulins became positive, with type 2b cryoglobulin identification on immunofluorescence. Serology for Hepatitis C virus was consistently negative, hence an Essential type 2 Cryoglobulinemia diagnosis was established. No renal impairment, vascular purpura, arthralgia or arthritis was found. The authors emphasize the importance of considering less common etiologies for chronic leg wounds, even in the absence of other suggestive symptomatology, as well as the pertinence of reconsidering diagnosis in highly suspect cases.

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BACKGROUND: Wireless capsule endoscopy has been introduced as an innovative, non-invasive diagnostic technique for evaluation of the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the output of this technique is an 8 hours video, whose analysis by the expert physician is very time consuming. Thus, a computer assisted diagnosis tool to help the physicians to evaluate CE exams faster and more accurately is an important technical challenge and an excellent economical opportunity. METHOD: The set of features proposed in this paper to code textural information is based on statistical modeling of second order textural measures extracted from co-occurrence matrices. To cope with both joint and marginal non-Gaussianity of second order textural measures, higher order moments are used. These statistical moments are taken from the two-dimensional color-scale feature space, where two different scales are considered. Second and higher order moments of textural measures are computed from the co-occurrence matrices computed from images synthesized by the inverse wavelet transform of the wavelet transform containing only the selected scales for the three color channels. The dimensionality of the data is reduced by using Principal Component Analysis. RESULTS: The proposed textural features are then used as the input of a classifier based on artificial neural networks. Classification performances of 93.1% specificity and 93.9% sensitivity are achieved on real data. These promising results open the path towards a deeper study regarding the applicability of this algorithm in computer aided diagnosis systems to assist physicians in their clinical practice.