Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | preprint |
Idioma: | eng |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/232 |
Resumo: | Objective: To evaluate the accuracy of chest computed tomography (CT) in patients with suspected severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) infection at a cancer center. Materials and Methods: This retrospective single-center study selected 91 patients who had chest CT and real-time polymerase chain reaction (RT-PCR) test collected at the same day. CT results were classified in negative, typical, indeterminate or atypical findings. Diagnostic accuracy, sensitivity and specificity were calculated for two different scenarios: in the first, only typical findings on CT were considered positive; in the second, both typical and indeterminate findings were considered positive. Results: Mean patients’ age was 58.2 years, most were male (60.4%) and had prior diagnosis of cancer (85.7%). CT showed typical findings in 28.6%, indeterminate findings in 24.2% and atypical findings in 26.4%. RT-PCR results were positive for SARS-CoV-2 in 27.5%. The sensitivity, specificity and accuracy in the first and second scenarios were respectively 64.0%, 84.8% and 79.1%, and 92.0%, 62.1% and 70.3%. Conclusion: CT has a high accuracy for the diagnosis of SARS-CoV-2 infection. Different interpretation criteria can provide either high sensitivity or high specificity. CT should be integrated as a triage test in resource-constrained environments during the pandemic to assist in the optimization of PCR-tests, isolation beds and intensive care units. |
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Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer centerChest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer centerChest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer centerTomografia computadorizadaSíndrome respiratória aguda graveInfecções por coronavírusCâncerComputed tomographySevere acute respiratory syndromeCoronavirus infectionsCancerObjective: To evaluate the accuracy of chest computed tomography (CT) in patients with suspected severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) infection at a cancer center. Materials and Methods: This retrospective single-center study selected 91 patients who had chest CT and real-time polymerase chain reaction (RT-PCR) test collected at the same day. CT results were classified in negative, typical, indeterminate or atypical findings. Diagnostic accuracy, sensitivity and specificity were calculated for two different scenarios: in the first, only typical findings on CT were considered positive; in the second, both typical and indeterminate findings were considered positive. Results: Mean patients’ age was 58.2 years, most were male (60.4%) and had prior diagnosis of cancer (85.7%). CT showed typical findings in 28.6%, indeterminate findings in 24.2% and atypical findings in 26.4%. RT-PCR results were positive for SARS-CoV-2 in 27.5%. The sensitivity, specificity and accuracy in the first and second scenarios were respectively 64.0%, 84.8% and 79.1%, and 92.0%, 62.1% and 70.3%. Conclusion: CT has a high accuracy for the diagnosis of SARS-CoV-2 infection. Different interpretation criteria can provide either high sensitivity or high specificity. CT should be integrated as a triage test in resource-constrained environments during the pandemic to assist in the optimization of PCR-tests, isolation beds and intensive care units.Objetivo: Avaliar a acurácia da tomografia computadorizada (TC) de tórax em pacientes com suspeita de infecção por SARS-CoV-2 em um centro oncológico. Materiais e Métodos: Estudo retrospectivo e unicêntrico que selecionou 91 pacientes que realizaram TC de tórax e teste RT-PCR no mesmo dia. Os resultados da TC foram classificados em negativos, achados típicos, indeterminados ou atípicos. Acurácia diagnóstica, sensibilidade e especificidade foram calculadas para dois cenários: no primeiro, apenas TC com achados típicos foi considerada positiva; no segundo, achados típicos ou indeterminados foram considerados positivos. Resultados: A média de idade dos pacientes foi de 58,2 anos, sendo a maioria homens (60,4%) e com história de câncer prévio (85,7%). TC demonstrou achados típicos em 28,6%, indeterminados em 24,2% e atípicos em 26,4%. Resultados da RT-PCR foram positivos para SARS-CoV-2 em 27,5%. Sensibilidade, especificidade e acurácia no primeiro e segundo cenários foram, respectivamente, de 64,0%, 84,8% e 79,1%, e 92,0%, 62,1% e 70,3%. Conclusão: A TC tem alta acurácia para o diagnóstico de infecção por SARS-CoV-2. Diferentes critérios de interpretação fornecem maior sensibilidade ou especificidade. A TC deve ser integrada como um teste de triagem em ambientes com recursos limitados durante a pandemia, para ajudar na otimização da utilização de testes de PCR, leitos de isolamento e unidades de terapia intensiva.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-04-28info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/23210.1590/0100-3984.2020.0040enghttps://preprints.scielo.org/index.php/scielo/article/view/232/284Copyright (c) 2020 Paula Nicole Vieira Pinto Barbosa, Almir Galvão Vieira Bitencourt, Gabriel Diaz de Miranda, Maria Fernanda Arruda Almeida, Rubens Chojniakhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarbosa, Paula Nicole Vieira PintoBitencourt, Almir Galvão VieiraMiranda, Gabriel Diaz deAlmeida, Maria Fernanda ArrudaChojniak, Rubensreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-04-28T13:40:26Zoai:ops.preprints.scielo.org:preprint/232Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-04-28T13:40:26SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
title |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
spellingShingle |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center Barbosa, Paula Nicole Vieira Pinto Tomografia computadorizada Síndrome respiratória aguda grave Infecções por coronavírus Câncer Computed tomography Severe acute respiratory syndrome Coronavirus infections Cancer |
title_short |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
title_full |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
title_fullStr |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
title_full_unstemmed |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
title_sort |
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center |
author |
Barbosa, Paula Nicole Vieira Pinto |
author_facet |
Barbosa, Paula Nicole Vieira Pinto Bitencourt, Almir Galvão Vieira Miranda, Gabriel Diaz de Almeida, Maria Fernanda Arruda Chojniak, Rubens |
author_role |
author |
author2 |
Bitencourt, Almir Galvão Vieira Miranda, Gabriel Diaz de Almeida, Maria Fernanda Arruda Chojniak, Rubens |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Barbosa, Paula Nicole Vieira Pinto Bitencourt, Almir Galvão Vieira Miranda, Gabriel Diaz de Almeida, Maria Fernanda Arruda Chojniak, Rubens |
dc.subject.por.fl_str_mv |
Tomografia computadorizada Síndrome respiratória aguda grave Infecções por coronavírus Câncer Computed tomography Severe acute respiratory syndrome Coronavirus infections Cancer |
topic |
Tomografia computadorizada Síndrome respiratória aguda grave Infecções por coronavírus Câncer Computed tomography Severe acute respiratory syndrome Coronavirus infections Cancer |
description |
Objective: To evaluate the accuracy of chest computed tomography (CT) in patients with suspected severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) infection at a cancer center. Materials and Methods: This retrospective single-center study selected 91 patients who had chest CT and real-time polymerase chain reaction (RT-PCR) test collected at the same day. CT results were classified in negative, typical, indeterminate or atypical findings. Diagnostic accuracy, sensitivity and specificity were calculated for two different scenarios: in the first, only typical findings on CT were considered positive; in the second, both typical and indeterminate findings were considered positive. Results: Mean patients’ age was 58.2 years, most were male (60.4%) and had prior diagnosis of cancer (85.7%). CT showed typical findings in 28.6%, indeterminate findings in 24.2% and atypical findings in 26.4%. RT-PCR results were positive for SARS-CoV-2 in 27.5%. The sensitivity, specificity and accuracy in the first and second scenarios were respectively 64.0%, 84.8% and 79.1%, and 92.0%, 62.1% and 70.3%. Conclusion: CT has a high accuracy for the diagnosis of SARS-CoV-2 infection. Different interpretation criteria can provide either high sensitivity or high specificity. CT should be integrated as a triage test in resource-constrained environments during the pandemic to assist in the optimization of PCR-tests, isolation beds and intensive care units. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/232 10.1590/0100-3984.2020.0040 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/232 |
identifier_str_mv |
10.1590/0100-3984.2020.0040 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/232/284 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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