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Published in: La radiologia medica 12/2020

01-12-2020 | COVID-19 | Chest Radiology

Chest CT in patients with a moderate or high pretest probability of COVID-19 and negative swab

Authors: Caterina Giannitto, Federica Mrakic Sposta, Alessandro Repici, Giulia Vatteroni, Elena Casiraghi, Erminia Casari, Giorgio Maria Ferraroli, Alessandro Fugazza, Maria Teresa Sandri, Arturo Chiti, Balzarini Luca

Published in: La radiologia medica | Issue 12/2020

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Abstract

Objectives

We aimed to assess the diagnostic performance of CT in patients with a negative first RT-PCR testing and to identify typical features of COVID-19 pneumonia that can guide diagnosis in this case.

Methods

Patients suspected of COVID-19 with a negative first RT-PCR testing were retrospectively revalued after undergoing CT.
CT was reviewed by two radiologists and classified as suspected COVID-19 pneumonia, non-COVID-19 pneumonia or negative.
The performance of both first RT-PCR result and CT was evaluated by using sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV) and area under the curve (AUC) and by using the second RT-PCR test as the reference standard.
CT findings for confirmed COVID-19 positive or negative were compared by using the Pearson chi-squared test (P values < 0.05)

Results

Totally, 337 patients suspected of COVID-19 underwent CT and nasopharyngeal swabs in March 2020. Eighty-seven out of 337 patients had a negative first RT-PCR result; of these, 68 repeated RT-PCR testing and were included in the study.
The first RT-PCR test showed SE 0, SP = 100%, PPV = NaN, NPV = 70%, AUC = 50%, and CT showed SE = 70% SP = 79%, PPV = 86%, NPV = 76%, AUC = 75%.
The most relevant CT variables were ground glass opacity more than 50% and peripheral and/or perihilar distribution.

Discussion

Negative RT-PCR test but positive CT features should be highly suggestive of COVID-19 in a cluster or community transmission scenarios, and the second RT-PCR test should be promptly requested to confirm the final diagnosis.
Literature
7.
go back to reference Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 20:425–434CrossRefPubMedPubMedCentral Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 20:425–434CrossRefPubMedPubMedCentral
9.
go back to reference Chung M, Bernheim A, Mei X et al (2020) CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology 295:202–207CrossRefPubMed Chung M, Bernheim A, Mei X et al (2020) CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology 295:202–207CrossRefPubMed
12.
go back to reference Nicastri E, Petrosillo N, Bartoli TA et al (2020) National institute for the infectious diseases “L. Spallanzani”, IRCCS. Recommendations for COVID-19 clinical management. Infect Dis Rep 12:8543CrossRefPubMedPubMedCentral Nicastri E, Petrosillo N, Bartoli TA et al (2020) National institute for the infectious diseases “L. Spallanzani”, IRCCS. Recommendations for COVID-19 clinical management. Infect Dis Rep 12:8543CrossRefPubMedPubMedCentral
21.
go back to reference Kursa MB, Rudnicki WR (2010) Feature selection with the boruta package. J Stat Softw 36(11):1–13CrossRef Kursa MB, Rudnicki WR (2010) Feature selection with the boruta package. J Stat Softw 36(11):1–13CrossRef
22.
go back to reference Schonlau M, Zou RY (2020) The random forest algorithm for statistical learning. Stata J 20:3–29CrossRef Schonlau M, Zou RY (2020) The random forest algorithm for statistical learning. Stata J 20:3–29CrossRef
28.
go back to reference Hayden GE, Wrenn KW (2009) Chest radiograph versus computed tomography scan in the evaluation for pneumonia. J Emerg Med 36:266–270CrossRefPubMed Hayden GE, Wrenn KW (2009) Chest radiograph versus computed tomography scan in the evaluation for pneumonia. J Emerg Med 36:266–270CrossRefPubMed
29.
go back to reference Yoon SH, Lee KH, Kim JY et al (2020) Chest radiographic and CT findings of the 2019 novel coronavirus disease (covid-19): analysis of nine patients treated in Korea. Korean J Radiol 21:494–500CrossRefPubMedPubMedCentral Yoon SH, Lee KH, Kim JY et al (2020) Chest radiographic and CT findings of the 2019 novel coronavirus disease (covid-19): analysis of nine patients treated in Korea. Korean J Radiol 21:494–500CrossRefPubMedPubMedCentral
30.
go back to reference Koo HJ, Lim S, Choe J, Choi S-H, Sung H, Do K-H (2018) Radiographic and CT features of viral pneumonia. Radiographics 38:719–739CrossRefPubMed Koo HJ, Lim S, Choe J, Choi S-H, Sung H, Do K-H (2018) Radiographic and CT features of viral pneumonia. Radiographics 38:719–739CrossRefPubMed
Metadata
Title
Chest CT in patients with a moderate or high pretest probability of COVID-19 and negative swab
Authors
Caterina Giannitto
Federica Mrakic Sposta
Alessandro Repici
Giulia Vatteroni
Elena Casiraghi
Erminia Casari
Giorgio Maria Ferraroli
Alessandro Fugazza
Maria Teresa Sandri
Arturo Chiti
Balzarini Luca
Publication date
01-12-2020
Publisher
Springer Milan
Published in
La radiologia medica / Issue 12/2020
Print ISSN: 0033-8362
Electronic ISSN: 1826-6983
DOI
https://doi.org/10.1007/s11547-020-01269-w

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