Artigos de Investigação
Avaliação radiómica em TC torácica de pacientes com COVID-19 João Paulo da Fonseca Amaro, MSc1 1
Técnico de Radiologia, Hospital Fundação Aurélio Amaro Diniz, Oliveira do Hospital
Abstract With the emergence of a new disease called COVID-19, it was suggested the application of radiomics to computed tomography (CT) images in the context of this disease. The study aims to test the diagnostic and prognostic capacity of the radiomic characteristics extracted from chest CT scans of patients with COVID-19 and other pneumonia not attributed to SARS-CoV-2, found in pulmonary injury patterns. One of the objectives was to test the ability of the classifier to differentiate the COVID-19 pathology from other type of pneumonia, and to observe which radiomic features are most significant in this differentiation. For the extraction of radiomic data, automatic, semi-automatic and manual segmentation techniques were used. The results obtained were significant, especially about the classification COVID-19 vs. other pneumonia. It was found that the techniques we use should be improved, since they are very time-consuming, especially when it comes to image segmentation. Keywords: COVID-19, Computed Tomography, Pulmonary Segmentation, Radiomics, Machine learning.
Resumo O aparecimento de uma nova doença designada COVID-19, sugeriu a aplicação da avaliação radiómica às imagens de Tomografia Computorizada (TC) no contexto desta doença. O objetivo do estudo é, assim, testar a capacidade diagnóstica e prognóstica das características radiómicas extraídas de exames de TC do tórax de pacientes com COVID-19 e com outras pneumonias não atribuídas a SARSRADIAÇÕES Nº8 - Abril 2022
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