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Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system

To assess the use of a structured report in the Chest Computed Tomography (CT) reporting of patients with suspicious viral pneumonia by COVID-19 and the evaluation of the main CT patterns. This study included 134 patients (43 women and 91 men; 68.8 years of mean age, range 29–93 years) with suspicio...

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Autores principales: Roberto, Grassi, Roberta, Fusco, Paola, Belfiore Maria, Alessandro, Montanelli, Gianluigi, Patelli, Fabrizio, Urraro, Antonella, Petrillo, Vincenza, Granata, Palmino, Sacco, Antonietta, Mazzei Maria, Beatrice, Feragalli, Alfonso, Reginelli, Salvatore, Cappabianca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566610/
https://www.ncbi.nlm.nih.gov/pubmed/33057039
http://dx.doi.org/10.1038/s41598-020-73788-5
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author Roberto, Grassi
Roberta, Fusco
Paola, Belfiore Maria
Alessandro, Montanelli
Gianluigi, Patelli
Fabrizio, Urraro
Antonella, Petrillo
Vincenza, Granata
Palmino, Sacco
Antonietta, Mazzei Maria
Beatrice, Feragalli
Alfonso, Reginelli
Salvatore, Cappabianca
author_facet Roberto, Grassi
Roberta, Fusco
Paola, Belfiore Maria
Alessandro, Montanelli
Gianluigi, Patelli
Fabrizio, Urraro
Antonella, Petrillo
Vincenza, Granata
Palmino, Sacco
Antonietta, Mazzei Maria
Beatrice, Feragalli
Alfonso, Reginelli
Salvatore, Cappabianca
author_sort Roberto, Grassi
collection PubMed
description To assess the use of a structured report in the Chest Computed Tomography (CT) reporting of patients with suspicious viral pneumonia by COVID-19 and the evaluation of the main CT patterns. This study included 134 patients (43 women and 91 men; 68.8 years of mean age, range 29–93 years) with suspicious COVID-19 viral infection evaluated by reverse transcription real-time fluorescence polymerase chain reaction (RT-PCR) test. All patients underwent CT examinations at the time of admission. CT images were reviewed by two radiologists who identified COVID-19 CT patterns using a structured reports. Temporal difference mean value between RT-PCRs and CT scan was 0.18 days ± 2.0 days. CT findings were positive for viral pneumonia in 94.0% patients while COVID-19 was diagnosed at RT-PCR in 77.6% patients. Time mean value to complete the structured report by radiologist was 8.5 min ± 2.4 min. The disease on chest CT predominantly affected multiple lobes and the main CT feature was ground glass opacity (GGO) with or without consolidation (96.8%). GGO was predominantly bilateral (89.3%), peripheral (80.3%), multifocal/patching (70.5%). Consolidation disease was predominantly bilateral (83.9%) with prevalent peripheral (87.1%) and segmental (47.3%) distribution. Additional CT signs were the crazy-paving pattern in 75.4% of patients, the septal thickening in 37.3% of patients, the air bronchogram sign in 39.7% and the “reversed halo” sign in 23.8%. Less frequent characteristics at CT regard discrete pulmonary nodules, increased trunk diameter of the pulmonary artery, pleural effusion and pericardium effusion (7.9%, 6.3%, 14.3% and 16.7%, respectively). Barotrauma sign was absent in all the patients. High percentage (54.8%) of the patients had mediastinal lymphadenopathy. Using a Chest CT structured report, with a standardized language, we identified that the cardinal hallmarks of COVID-19 infection were bilateral, peripheral and multifocal/patching GGO and bilateral consolidation with peripheral and segmental distribution.
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spelling pubmed-75666102020-10-19 Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system Roberto, Grassi Roberta, Fusco Paola, Belfiore Maria Alessandro, Montanelli Gianluigi, Patelli Fabrizio, Urraro Antonella, Petrillo Vincenza, Granata Palmino, Sacco Antonietta, Mazzei Maria Beatrice, Feragalli Alfonso, Reginelli Salvatore, Cappabianca Sci Rep Article To assess the use of a structured report in the Chest Computed Tomography (CT) reporting of patients with suspicious viral pneumonia by COVID-19 and the evaluation of the main CT patterns. This study included 134 patients (43 women and 91 men; 68.8 years of mean age, range 29–93 years) with suspicious COVID-19 viral infection evaluated by reverse transcription real-time fluorescence polymerase chain reaction (RT-PCR) test. All patients underwent CT examinations at the time of admission. CT images were reviewed by two radiologists who identified COVID-19 CT patterns using a structured reports. Temporal difference mean value between RT-PCRs and CT scan was 0.18 days ± 2.0 days. CT findings were positive for viral pneumonia in 94.0% patients while COVID-19 was diagnosed at RT-PCR in 77.6% patients. Time mean value to complete the structured report by radiologist was 8.5 min ± 2.4 min. The disease on chest CT predominantly affected multiple lobes and the main CT feature was ground glass opacity (GGO) with or without consolidation (96.8%). GGO was predominantly bilateral (89.3%), peripheral (80.3%), multifocal/patching (70.5%). Consolidation disease was predominantly bilateral (83.9%) with prevalent peripheral (87.1%) and segmental (47.3%) distribution. Additional CT signs were the crazy-paving pattern in 75.4% of patients, the septal thickening in 37.3% of patients, the air bronchogram sign in 39.7% and the “reversed halo” sign in 23.8%. Less frequent characteristics at CT regard discrete pulmonary nodules, increased trunk diameter of the pulmonary artery, pleural effusion and pericardium effusion (7.9%, 6.3%, 14.3% and 16.7%, respectively). Barotrauma sign was absent in all the patients. High percentage (54.8%) of the patients had mediastinal lymphadenopathy. Using a Chest CT structured report, with a standardized language, we identified that the cardinal hallmarks of COVID-19 infection were bilateral, peripheral and multifocal/patching GGO and bilateral consolidation with peripheral and segmental distribution. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7566610/ /pubmed/33057039 http://dx.doi.org/10.1038/s41598-020-73788-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Roberto, Grassi
Roberta, Fusco
Paola, Belfiore Maria
Alessandro, Montanelli
Gianluigi, Patelli
Fabrizio, Urraro
Antonella, Petrillo
Vincenza, Granata
Palmino, Sacco
Antonietta, Mazzei Maria
Beatrice, Feragalli
Alfonso, Reginelli
Salvatore, Cappabianca
Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title_full Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title_fullStr Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title_full_unstemmed Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title_short Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system
title_sort coronavirus disease 2019 (covid-19) in italy: features on chest computed tomography using a structured report system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566610/
https://www.ncbi.nlm.nih.gov/pubmed/33057039
http://dx.doi.org/10.1038/s41598-020-73788-5
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