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1.
Rom J Morphol Embryol ; 53(3 Suppl): 851-3, 2012.
Article in English | MEDLINE | ID: mdl-23188453

ABSTRACT

BACKGROUND: The Melkersson-Rosenthal syndrome (MRS) is a very rare clinical entity and its classical form is being characterized by the following triad: facial nerve palsy, swelling of the lips and fissured tongue. However, the monosymptomatic form is more common and the typical manifestation is facial edema and/or enlargement of the lips. CASE REPORT: We report a case of monosymptomatic MRS with a positive biopsy of granulomatous cheilitis. CONCLUSIONS: In the daily practice as a pediatrician, it is not usual to diagnose a patient as having MRS. We consider that this is partly because of misdiagnosis. We therefore believe that this case report will supply additional information, in the scope of recurrent facial paralysis and orofacial edema in both children and adults.


Subject(s)
Melkersson-Rosenthal Syndrome/diagnosis , Adolescent , Anti-Inflammatory Agents/therapeutic use , Edema/etiology , Edema/pathology , Female , Humans , Melkersson-Rosenthal Syndrome/complications , Melkersson-Rosenthal Syndrome/pathology , Melkersson-Rosenthal Syndrome/therapy , Tongue, Fissured/diagnosis , Tongue, Fissured/pathology , Triamcinolone Acetonide/therapeutic use
2.
ScientificWorldJournal ; 1: 369-90, 2001 Aug 17.
Article in English | MEDLINE | ID: mdl-12806074

ABSTRACT

In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight. In this order we have used different fuzzy clustering algorithms, namely hierarchical fuzzy clustering, hierarchical and horizontal fuzzy characteristics clustering, and a new clustering technique, fuzzy hierarchical cross-classification. The characteristics clustering techniques produce fuzzy partitions of the characteristics involved and, thus, are useful tools for studying the similarities between different characteristics and for essential characteristics selection. The cross-classification algorithm produces not only a fuzzy partition of the cardiac patients analyzed, but also a fuzzy partition of their considered characteristics. In this way it is possible to identify which characteristics are responsible for the similarities or dissimilarities observed between different groups of patients.


Subject(s)
Fuzzy Logic , Heart Diseases/classification , Adult , Aged , Algorithms , Cluster Analysis , Diagnosis, Differential , Heart Diseases/diagnosis , Heart Valve Diseases/classification , Heart Valve Diseases/diagnosis , Humans , Hypertension, Pulmonary/classification , Hypertension, Pulmonary/diagnosis , Middle Aged , Models, Statistical , Myocardial Ischemia/classification , Myocardial Ischemia/diagnosis
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