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Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance.
Cozzi, Andrea; Schiaffino, Simone; Arpaia, Francesco; Della Pepa, Gianmarco; Tritella, Stefania; Bertolotti, Pietro; Menicagli, Laura; Monaco, Cristian Giuseppe; Carbonaro, Luca Alessandro; Spairani, Riccardo; Babaei Paskeh, Bijan; Sardanelli, Francesco.
  • Cozzi A; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy. Electronic address: andrea.cozzi1@unimi.it.
  • Schiaffino S; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: simone.schiaffino@grupposandonato.it.
  • Arpaia F; Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy. Electronic address: francesco.arpaia@unimi.it.
  • Della Pepa G; Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy. Electronic address: gianmarco.dellapepa@unimi.it.
  • Tritella S; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: stefania.tritella@grupposandonato.it.
  • Bertolotti P; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: pietro.bertolotti@grupposandonato.it.
  • Menicagli L; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: laura.menicagli@grupposandonato.it.
  • Monaco CG; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: cristiangiuseppe.monaco@grupposandonato.it.
  • Carbonaro LA; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: luca.carbonaro@grupposandonato.it.
  • Spairani R; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: riccardo.spairani@grupposandonato.it.
  • Babaei Paskeh B; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: paskehbijan.babaei@grupposandonato.it.
  • Sardanelli F; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: francesco.sardanelli@unimi.it.
Eur J Radiol ; 132: 109272, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-753629
ABSTRACT

PURPOSE:

To report real-world diagnostic performance of chest x-ray (CXR) readings during the COVID-19 pandemic.

METHODS:

In this retrospective observational study we enrolled all patients presenting to the emergency department of a Milan-based university hospital from February 24th to April 8th 2020 who underwent nasopharyngeal swab for reverse transcriptase-polymerase chain reaction (RT-PCR) and anteroposterior bedside CXR within 12 h. A composite reference standard combining RT-PCR results with phone-call-based anamnesis was obtained. Radiologists were grouped by CXR reading experience (Group-1, >10 years; Group-2, <10 years), diagnostic performance indexes were calculated for each radiologist and for the two groups.

RESULTS:

Group-1 read 435 CXRs (77.0 % disease prevalence) sensitivity was 89.0 %, specificity 66.0 %, accuracy 83.7 %. Group-2 read 100 CXRs (73.0 % prevalence) sensitivity was 89.0 %, specificity 40.7 %, accuracy 76.0 %. During the first half of the outbreak (195 CXRs, 66.7 % disease prevalence), overall sensitivity was 80.8 %, specificity 67.7 %, accuracy 76.4 %, Group-1 sensitivity being similar to Group-2 (80.6 % versus 81.5 %, respectively) but higher specificity (74.0 % versus 46.7 %) and accuracy (78.4 % versus 69.0 %). During the second half (340 CXRs, 81.8 % prevalence), overall sensitivity increased to 92.8 %, specificity dropped to 53.2 %, accuracy increased to 85.6 %, this pattern mirrored in both groups, with decreased specificity (Group-1, 58.0 %; Group-2, 33.3 %) but increased sensitivity (92.7 % and 93.5 %) and accuracy (86.5 % and 81.0 %, respectively).

CONCLUSIONS:

Real-world CXR diagnostic performance during the COVID-19 pandemic showed overall high sensitivity with higher specificity for more experienced radiologists. The increase in accuracy over time strengthens CXR role as a first line examination in suspected COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Radiography, Thoracic / Clinical Competence / Coronavirus Infections Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male / Middle aged Language: English Journal: Eur J Radiol Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Radiography, Thoracic / Clinical Competence / Coronavirus Infections Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male / Middle aged Language: English Journal: Eur J Radiol Year: 2020 Document Type: Article