Pictorial guide for variants of Covid-19: CT imaging and interpretation.

Autor:	Bonito G; Unit of Emergency Radiology, Policlinico Umberto I Hospital, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Martinelli V; Unit of Emergency Radiology, Policlinico Umberto I Hospital, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Vullo F; Unit of Emergency Radiology, Policlinico Umberto I Hospital, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Basilico F; Unit of Emergency Radiology, Policlinico Umberto I Hospital, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Polito E; Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Izzo A; Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Corso L; Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena, Rome, Italy., Ricci P
Jazyk:	angličtina
Zdroj:	BJR open [BJR Open] 2022 Oct 05; Vol. 5 (1), pp. 20220011. Date of Electronic Publication: 2022 Oct 05 (Print Publication: 2023).
DOI:	10.1259/bjro.20220011
Abstrakt:	Typical radiologic images of Covid-19 pneumonia consists in a wide spectrum of chest manifestations, which range from peripheral predominant ground-glass opacities to an organizing pneumonia pattern, with additional features including crazy-paving, consolidations, fibrotic streaks and linear opacities. With variants imaging profile of Covid-19 evolves, producing relatively atypical/indeterminate CT pattern of pulmonary involvement, which overlap with imaging features of a variety of other respiratory diseases, including infections, drug reaction and hypersensitivity pneumonia. Our knowledge of these radiological findings is incomplete and there is a need to strengthen the recognition of the many faces of Covid-19 pneumonia. (© 2022 The Authors. Published by the British Institute of Radiology.)
Databáze:	MEDLINE
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