![]() Normally, when dealing with a bone lesion, clinical and imaging parameters are used in order to determine the final diagnosis and, more importantly, whether the lesion is benign or malignant, with a good margin of safety. Depending on their appearance and the diagnostic hypothesis, the next step is to perform computed tomography or magnetic resonance imaging, as recommended by the American College of Radiology (1). Some lesions appear as incidental findings on routine X-rays. Although benign bone tumors are more common, their true prevalence is not known because they are frequently asymptomatic and go undiscovered-in fact, their clinical presentation can be challenging. Primary malignant bone tumors constitute a minority among bone neoplasms. RESULTADOS: Foi desenvolvida uma estrutura lógica e sequencial no formato de um mapa cognitivo, segundo o modelo de rede de crenças bayesianas, na tentativa de simular o raciocínio humano sequencial e minimizar esforços e iatrogenias oriundas da avaliação equivocada de lesões ósseas.ĬONCLUSÃO: Com base nesse mapa, será possível oferecer um aplicativo para apoio a profissionais e residentes médicos e colaborar com o treinamento nessa área e, consequentemente, diminuir erros no diagnóstico de uma lesão óssea. O método utilizado para a construção da estrutura cognitiva final foi o modelo de rede de crenças bayesianas com a técnica de encadeamento regressivo. MATERIAIS E MÉTODOS: Foi realizada uma seleção de 28 lesões principais na faixa etária pediátrica e dos achados característicos e associados a cada um desses diagnósticos. OBJETIVO: Apresentar um mapa cognitivo para suporte na determinação da natureza benigna ou maligna, bem como no diagnóstico radiológico, de tumores ósseos solitários na faixa etária pediátrica. ![]() RESULTS: We developed a logical, sequential structure, in the form of a cognitive map, based on the Bayesian belief network model, with the intention of simulating the sequence of human thinking, in order to minimize the number of unnecessary interventions and iatrogenic complications arising from the incorrect evaluation of bone lesions.ĬONCLUSION: With this map, it will be possible to develop an application that will provide support to physicians and residents, as well as contributing to training in this area and consequently to a reduction in diagnostic errors in patients with bone lesions. The method used for the construction of the final cognitive map was the Bayesian belief network model with backward chaining. MATERIALS AND METHODS: We selected 28 primary lesions in pediatric patients, and we identified the findings typically associated with each of the diagnoses. OBJECTIVE: To present a cognitive map to support the radiological diagnosis of solitary bone tumors, as well as to facilitate the determination of the nature of the tumor (benign or malignant), in pediatric patients. Keywords: Decision support techniques Bone neoplasms Child health Diagnosis, differential Diagnostic errors Diagnostic imaging.ĭescritores: Técnicas de apoio para a decisão Neoplasias ósseas Saúde da criança Diagnóstico diferencial Erros de diagnóstico Diagnóstico por imagem. Cognitive map to support the diagnosis of solitary bone tumors in pediatric patientsĪutho(rs): Felipe Costa Moreira 1 André Yui Aihara 2 Henrique Manoel Lederman 2 Ivan Torres Pisa 1 Josceli Maria Tenório 1
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