Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Facoltà
  • Ambiti Di Ricerca

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Facoltà
  • Ambiti Di Ricerca
  1. Pubblicazioni

The Role of Imaging in COVID-19 Pneumonia Diagnosis and Management: Main Positions of the Experts, Key Imaging Features and Open Answers

Articolo
Data di Pubblicazione:
2020
Citazione:
The Role of Imaging in COVID-19 Pneumonia Diagnosis and Management: Main Positions of the Experts, Key Imaging Features and Open Answers / Landini, N., Orlandi, M., Fusaro, M., Ciet, P., Nardi, C., Bertolo, S., Catalanotti, V., Matucci-Cerinic, M., Colagrande, S., Morana, G.. - In: JOURNAL OF CARDIOVASCULAR ECHOGRAPHY. - ISSN 2211-4122. - 30:6(2020), pp. 25-30. [10.4103/jcecho.jcecho-59-20]
Abstract:
Lung imaging is widely involved in facing the coronavirus disease (COVID-19) pandemic. In fact, the COVID-19 infection may lead to a rapidly evolving and potentially fatal pneumonia. Moreover, computed tomography (CT) can be more sensitive than the COVID-19 reverse transcriptase-polymerase chain reaction test, especially at the beginning of the disease. Only patients with mild features consistent with COVID-19 infection, negative COVID-19 test, or positive COVID-19 test but at low risk for disease progression should avoid imaging. However, imaging becomes mandatory if respiratory symptoms worsen. A CT pattern classification has been designed to help both radiologists and clinicians. The typical pattern of COVID-19 is depicted by multifocal, bilateral, and peripheral ground-glass opacities (with or without consolidations or crazy paving) or findings of organizing pneumonia. Moreover, CT has demonstrated a prognostic role in patients with a diagnosis of COVID-19 pneumonia. Lung ultrasounds (LUS) are an emergent tool in the diagnosis of the disease. The adoption of LUS combined to chest X-rays in COVID-19 in pneumonia diagnosis is an interesting prospect that needs to be confirmed.
Tipologia CRIS:
1.1.1 Articolo in rivista - Review
Elenco autori:
Landini, Nicholas; Orlandi, Martina; Fusaro, Michele; Ciet, Pierluigi; Nardi, Cosimo; Bertolo, Silvia; Catalanotti, Vito; Matucci-Cerinic, Marco; Colagrande, Stefano; Morana, Giovanni
Autori di Ateneo:
MATUCCI CERINIC MARCO
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/154564
Pubblicato in:
JOURNAL OF CARDIOVASCULAR ECHOGRAPHY
Journal
  • Dati Generali

Dati Generali

URL

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811702/
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.6.0.0