Radiology Department Preparedness for COVID-19: Facing an Unexpected                     Outbreak of the Disease

Orsi, Marcello; Oliva, Antonio Giancarlo; Cellina, Michaela

doi:10.1148/radiol.2020201214

Cited by 36 publications

(35 citation statements)

References 5 publications

(4 reference statements)

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“…Leveraging these superior capabilities depends upon the availability of CT capacity, particularly considering the potential reduction in CT scanner availability due to the additional time required to clean and disinfect equipment following imaging of patients with suspected COVID-19. Some centers rely on the improved depiction of COVID-19 findings with CT relative to CXR (19) and their association with clinical worsening to determine patient disposition to home, hospital admission, or intensive care. In recognition of variance amongst local practice patterns and resource availability, it is important to state at the outset that the scenarios specify the use of imaging but do not articulate the relative merit of CXR versus CT.…”

Section: The Use Of Imaging In Covid-19mentioning

confidence: 99%

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

Rubin¹,

Ryerson²,

Haramati³

et al. 2020

Radiology

1,137

1,343

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Section: The Use Of Imaging In Covid-19mentioning

confidence: 99%

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

Rubin¹,

Ryerson²,

Haramati³

et al. 2020

Radiology

1,137

1,343

View full text Add to dashboard Cite

“…Some centres use chest CT as a medical triage tool for the management of COVID-19 patients [19]. However, CT scans do not offer the necessary ease of accessibility in the light of growing concern over infection control.…”

Section: Discussionmentioning

confidence: 99%

“…A novel coronavirus disease (COVID- 19), rst reported in Wuhan, China in December 2019, has led to a global health crisis [1]. The World health organization (WHO) declared the disease a pandemic in March 2020 [2].…”

Section: Read Full License Introductionmentioning

confidence: 99%

Can artificial intelligence predict the need for oxygen therapy in early stage COVID-19 pneumonia?

Obinata

Ruan²,

Mori

et al. 2020

Preprint

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This study investigated the utility of artificial intelligence in predicting disease progression. We analysed 194 patients with COVID-19 confirmed by reverse transcription polymerase chain reaction. Among them, 31 patients had oxygen therapy administered after admission. To assess the utility of artificial intelligence in the prediction of disease progression, we used three machine learning models employing clinical features (patient’s background, laboratory data, and symptoms), one deep learning model employing computed tomography (CT) images, and one multimodal deep learning model employing a combination of clinical features and CT images. We also evaluated the predictive values of these models and analysed the important features required to predict worsening in cases of COVID-19. The multimodal deep learning model had the highest accuracy. The CT image was an important feature of multimodal deep learning model. The area under the curve of all machine learning models employing clinical features and the deep learning model employing CT images exceeded 90%, and sensitivity of these models exceeded 95%. C-reactive protein and lactate dehydrogenase were important features of machine learning models. Our machine learning model, while slightly less accurate than the multimodal model, still provides a valuable medical triage tool for patients in the early stages of COVID-19.

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“…The best solution to reduce the contagion is to isolate COVID-19 patients in dedicated rooms and with dedicated pathways [3]. Therefore, in our hospital, all the CT examinations are executed on a COVID-19 patient-dedicated Scanner (Somatom Definition Flash, Siemens, Engelberg, Germany).…”

Section: Dear Editormentioning

confidence: 99%

Comment on “COVID-19 infection control protocol inside computed tomography suites”

et al. 2020

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Radiology Department Preparedness for COVID-19: Facing an Unexpected Outbreak of the Disease

Abstract: Disclosures of Conflicts ofInterest: M.A.O. disclosed no relevant relationships. A.G.O. disclosed no relevant relationships. M.C. disclosed no relevant relationships.

Cited by 36 publications

References 5 publications

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

Can artificial intelligence predict the need for oxygen therapy in early stage COVID-19 pneumonia?

Comment on “COVID-19 infection control protocol inside computed tomography suites”

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