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Objective To evaluate the role of chest computed tomography in patients with COVID-19 who presented initial negative result in reverse transcriptase-polymerase chain reaction (RT-PCR). Methods A single-center, retrospective study that evaluated 39 patients with negative RT-PCR for COVID-19, who underwent chest computed tomography and had a final clinical or serological diagnosis of COVID-19. The visual tomographic classification was evaluated according to the Consensus of the Radiological Society of North America and software developed with artificial intelligence for automatic detection of findings and chance estimation of COVID-19. Results In the visual tomographic analysis, only one of them (3%) presented computed tomography classified as negative, 69% were classified as typical and 28% as indeterminate. In the evaluation using the software, only four (about 10%) had a probability of COVID-19

China was the epicenter for the novel coronavirus disease (COVID-19), which quickly spread to other Asian countries and later to Western countries; subsequently, COVID-19 was categorized as a pandemic by the World Health Organization. Diagnosis primarily depends on viral detection in respiratory samples; however, available kits are limited, lack high sensitivity, and have a long turnaround time for providing results. In this scenario, computed tomography has emerged as an efficient and available high-sensitivity method, allowing radiologists to readily recognize findings related to COVID-19. The objective of this article is to demonstrate the main tomographic findings in symptomatic respiratory patients with COVID-19 to assist medical professionals during this critical moment. Resumo A doença pelo novo coronavírus (COVID-19) teve epicentro na China e rapidamente se espalhou pelos demais países asiáticos e, posteriormente, para os países ocidentais, sendo definida como pandemia pela Organização Mundial da Saúde. O diagnóstico da COVID-19 é primariamente dependente da pesquisa do vírus nas vias aéreas superiores, mas os kits para sua confirmação ainda são limitados, não apresentam sensibilidade elevada e os resultados são demorados. Nesse cenário, a tomografia computadorizada surge como método eficiente e disponível e com alta sensibilidade, cabendo a nós radiologistas reconhecer prontamente os achados relacionados a essa doença. O objetivo deste artigo é demonstrar os principais achados tomográficos de tórax em pacientes sintomáticos respiratórios infectados pela COVID-19, de modo a auxiliar os colegas nesse momento crítico.

SUMMARY Objective: To evaluate the agreement between the three scores proposed by the II Guideline for Perioperative Evaluation of the Brazilian Society of Cardiology (SBC): the American College of Physicians algorithm (ACP), the Multicenter Study of Perioperative Evaluation (EMAPO) and Lee’s Revised Cardiac Risk Index (RCRI). Method: Patients evaluated preoperatively for non-cardiac surgery by the anesthesiology service were classified as low, moderate or high-risk according to the 3 algorithms suggested by the II Guideline. To calculate the strength of agreement between the scores, the kappa agreement index was used. Results: Four hundred and one patients were included in the sample. Cohen’s kappa inter-rater agreement between scores was 0.270 (CI: 0.222 to 0.318), corresponding to a weak agreement. Analyzing in pairs, the best correlation was between EMAPO and ACP, with kappa = 0.327. Lee’s score was the one that classified more patients as low-risk: 98.3%, while EMAPO and ACP classified as low risk 91.3% and 92.5%, respectively. Conclusion: There is poor correlation among the risk scores proposed by the II Perioperative Evaluation Guideline of the SBC. RESUMO Objetivo: avaliar a concordância entre os três escores propostos pela II Diretriz de Avaliação Perioperatória da Sociedade Brasileira de Cardiologia (SBC): algoritmo do American College of Physicians (ACP), Estudo Multicêntrico de Avaliação Perioperatória (Emapo) e Índice de Risco Cardíaco Revisado de Lee (IRCR). Método: pacientes avaliados no pré-operatório para cirurgia não cardíaca em serviço de anestesiologia foram classificados em baixo, moderado ou alto risco pelas três escalas sugeridas pela II Diretriz. Para avaliar o grau de concordância entre as classificações, calculou-se o índice de concordância kappa. Resultados: quatrocentos e um pacientes foram incluídos. O índice kappa de Cohen de concordância entre os três escores foi de 0,270 (IC: 0,222-0,318), correspondendo a uma concordância fraca. Analisando aos pares, a melhor correlação foi entre Emapo e ACP, com kappa de 0,327. O escore de Lee foi o que classificou mais pacientes como baixo risco: 98,3%, ao passo que Emapo e ACP classificaram como baixo risco 91,3 e 92,5%, respectivamente. Conclusão: há uma baixa concordância entre os escores de risco propostos pela II Diretriz de Avaliação Perioperatória da SBC.