COVID-19: Correlation between HRCT findings and clinical prognosis and analysis of parenchymal pattern evolution.

Chest imaging Computed tomography Coronavirus disease 19 Radiology Respiratory disease Severe acute respiratory syndrome - coronavirus 2

Journal

Journal of clinical imaging science
ISSN: 2156-7514
Titre abrégé: J Clin Imaging Sci
Pays: United States
ID NLM: 101564708

Informations de publication

Date de publication:
2023
Historique:
received: 07 03 2023
accepted: 21 03 2023
medline: 8 5 2023
pubmed: 8 5 2023
entrez: 8 5 2023
Statut: epublish

Résumé

Severe acute respiratory syndrome - coronavirus 2 (SARS-CoV-2) is a single-stranded positive ribonucleic acid virus of the coronaviridae family. The disease caused by this virus has been named by the World Health Organization coronavirus disease 19 (COVID-19), whose main manifestation is interstitial pneumonia. Aim of this study is to describe the radiological features of SARS-CoV-2 infection in its original form, to correlate the high-resolution computed tomography (HRCT) patterns with clinical findings, prognosis and mortality, and to establish the need for treatment and admission to the intensive care unit. From March 2020 to May 2020, 193 patients (72 F and 121 M) who were swab positive for SARS-CoV-2 were retrospectively selected for our study. These patients underwent HRCT in the clinical suspicion of SARS-CoV-2 interstitial pneumonia. Our results confirm the role of radiology and, in particular, of chest HRCT as a technique with high sensitivity in the recognition of the most peculiar features of COVID-19 pneumonia, in the evaluation of severity of the disease, in the correct interpretation of temporal changes of the radiological picture during the follow-up until the resolution, and in obtaining prognostic information, also to direct the treatment. Chest computed tomography cannot be considered as a substitute for real-time - polymerase chain reaction in the diagnosis of COVID-19, but rather supplementary to it in the diagnostic process as it can detect parenchymal changes at an early stage and even before the positive swab, at least for patients who have been symptomatic for more than 3 days.

Identifiants

pubmed: 37152439
doi: 10.25259/JCIS_22_2023
pii: 10.25259/JCIS_22_2023
pmc: PMC10159294
doi:

Types de publication

Journal Article

Langues

eng

Pagination

10

Informations de copyright

© 2023 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Stefano Giusto Picchi (SG)

Department of Radiology, Ospedale del Mare, ASL NA1 Centro, Naples, Italy.

Giulia Lassandro (G)

Department of Radiology, Ospedale del Mare, ASL NA1 Centro, Naples, Italy.

Antonio Corvino (A)

Department of Movement Sciences and Wellbeing, University of Naples "Parthenope", Naples, Italy.

Domenico Tafuri (D)

Department of Movement Sciences and Wellbeing, University of Naples "Parthenope", Naples, Italy.

Martina Caruso (M)

Department of Advanced Biomedical Sciences, University Federico II of Naples, Naples, Italy.

Guido Faggian (G)

Department of Advanced Biomedical Sciences, University Federico II of Naples, Naples, Italy.

Giulio Cocco (G)

Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio, Chieti, Italy.

Andrea Delli Pizzi (AD)

Department of Innovative Technologies in Medicine and Dentistry, University "G. D'Annunzio", Chieti, Italy.

Luigi Gallo (L)

Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.

Pasquale Quassone (P)

Neuroradiology Department, Ospedale del Mare ASL NA1 Centro, Naples, Italy.

Andrea Boccatonda (A)

Department of Internal Medicine, Bentivoglio Hospital, AUSL Bologna, Bologna, Italy.

Maria Teresa Minguzzi (MT)

Department of Radiology, Ospedale Santa Maria delle Croci, AUSL Romagna, Ravenna, Italy.

Classifications MeSH