2021
DOI: 10.1016/j.crad.2020.10.007
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Clinical application of the COVID-19 Reporting and Data System (CO-RADS) in patients with suspected SARS-CoV-2 infection: observational study in an emergency department

Abstract: Highlights CO-RADS improves the risk classification by 65.8% in patients affected by COVID-19. CO-RADS combined with RT-PCR presents an AUC of 0.98 for patients with COVID-19. CO-RADS improves the risk classification by 82.1% in patients not affected by COVID-19.

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Cited by 12 publications
(15 citation statements)
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“…We believe that the panels proposed by us in the present work have excellent predictive values compared with values reported for serological tests [(AUC (IgM): 0.81; AUC (IgG): 0.93; AUC (IgM + IgG): 0.98)] 39 ; and the RT-PCR test (AUC: 0.83) 40 . Studies aimed at evaluating the accuracy of laboratory parameters (neutrophil count, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase and urea) in predicting COVID-19 cases with positive RT-PCR for COVID-19 have demonstrated an AUC of just 0.8 41 .…”
Section: Discussionsupporting
confidence: 57%
“…We believe that the panels proposed by us in the present work have excellent predictive values compared with values reported for serological tests [(AUC (IgM): 0.81; AUC (IgG): 0.93; AUC (IgM + IgG): 0.98)] 39 ; and the RT-PCR test (AUC: 0.83) 40 . Studies aimed at evaluating the accuracy of laboratory parameters (neutrophil count, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase and urea) in predicting COVID-19 cases with positive RT-PCR for COVID-19 have demonstrated an AUC of just 0.8 41 .…”
Section: Discussionsupporting
confidence: 57%
“…Thus, a reduction in TCA metabolism would lead to an antioxidant imbalance and in ammatory damage 10 , as seen by the increased levels of polyamines and methionine sulfoxide found among hospitalized patients in this study. the RT-PCR test (AUC:0.83) 35 . Studies aimed at evaluating the accuracy of laboratory parameters (neutrophil count, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase and urea) in predicting COVID-19 cases with positive RT-PCR for COVID-19 have demonstrated an AUC of just 0.8 36 .…”
Section: Discussionmentioning
confidence: 99%
“…Dutch themselves measured the real-life performance of radiologist emergency department chest CT interpretation for tracing COVID-19, using CO-RADS and revealed a high precision of diagnosing with AUC of 0.87, especially when symptoms last longer than 48 hours [31]. Another retrospective analysis of the practical use of CO-RADS in the emergency department of patients with possible COVID-19 infection also showed a great sensitivity and specificity of CO-RADS at 83.8% and 78.6%, respectively, with an AUC of 0.890 and provided a better risk classification by 65.8% in patients affected and by 82.1% in patients not affected by COVID-19 [26]. A study made by Özel et al in Turkey to assess CO-RADS model agrees with Dutch Radiology society findings by discovering this reporting scheme being incredibly effective in detecting COVID-19 pneumonia, especially, CO-RADS 5, which suggests a very high probability for infection and statistically significant correlation with RT-PCR results [32].…”
Section: Discussionmentioning
confidence: 91%
“…The standard norm for COVID-19 detection is RT-PCR of viral nucleic acid, although, current reports have acknowledged the relevance of chest CT scans analysis in COVID-19 patients with false negative RT-PCR findings, especially, when there is a clinical suspicion of infection [13][14][15]. Chest CT features, as bilateral involvement, subpleural or peripherally distributed GGO, consolidation, reticulation, crazy paving pattern, air bronchogram signs, intralobular septal thickening, pulmonary vascular enlargement [16][17][18][19][20][21][22][23][24][25], are considered to be characteristic manifestations of COVID-19 infection [26] and with a high sensitivity [4,27] may let suspect this infection both in symptomatic and in some cases asymptomatic patients [28]. However, some lately published meta-analyses, evaluating accuracy of CT scans detecting COVID-19 pulmonary involvement, points out a risk of a low specificity and false-positive findings also [27,29].…”
Section: Discussionmentioning
confidence: 99%