Tomography
(Feb 2022)
Acute Pulmonary Embolism: Prognostic Role of Computed Tomography Pulmonary Angiography (CTPA)
Giulia Zantonelli,
Diletta Cozzi,
Alessandra Bindi,
Edoardo Cavigli,
Chiara Moroni,
Silvia Luvarà,
Giulia Grazzini,
Ginevra Danti,
Vincenza Granata,
Vittorio Miele
Affiliations
Giulia Zantonelli
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Diletta Cozzi
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Alessandra Bindi
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Edoardo Cavigli
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Chiara Moroni
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Silvia Luvarà
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Giulia Grazzini
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Ginevra Danti
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
Vincenza Granata
Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131 Naples, Italy
Vittorio Miele
Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
DOI
https://doi.org/10.3390/tomography8010042
Journal volume & issue
Vol. 8,
no. 1
pp.
529
– 539
Abstract
Read online
Computed Tomography Pulmonary Angiography (CTPA) is considered the gold standard diagnostic technique in patients with suspected acute pulmonary embolism in emergency departments. Several studies have been conducted on the predictive value of CTPA on the outcomes of pulmonary embolism (PE). The purpose of this article is to provide an updated review of the literature reporting imaging parameters and quantitative CT scores to predict the severity of PE.
Keywords
Published in Tomography
ISSN
2379-1381 (Print)
2379-139X (Online)
Publisher
MDPI AG
Country of publisher
Switzerland
LCC subjects
Medicine: Medicine (General): Computer applications to medicine. Medical informatics
Website
https://www.mdpi.com/journal/tomography
About the journal
WeChat QR code
Close