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Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases

In December 2019, physicians reported numerous patients showing pneumonia of unknown origin in the Chinese region of Wuhan. Following the spreading of the infection over the world, The World Health Organization (WHO) on 11 March 2020 declared the novel severe acute respiratory syndrome coronavirus-2...

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Autores principales: Scimeca, Manuel, Urbano, Nicoletta, Bonfiglio, Rita, Montanaro, Manuela, Bonanno, Elena, Schillaci, Orazio, Mauriello, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554796/
https://www.ncbi.nlm.nih.gov/pubmed/32971906
http://dx.doi.org/10.3390/ijms21186960
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author Scimeca, Manuel
Urbano, Nicoletta
Bonfiglio, Rita
Montanaro, Manuela
Bonanno, Elena
Schillaci, Orazio
Mauriello, Alessandro
author_facet Scimeca, Manuel
Urbano, Nicoletta
Bonfiglio, Rita
Montanaro, Manuela
Bonanno, Elena
Schillaci, Orazio
Mauriello, Alessandro
author_sort Scimeca, Manuel
collection PubMed
description In December 2019, physicians reported numerous patients showing pneumonia of unknown origin in the Chinese region of Wuhan. Following the spreading of the infection over the world, The World Health Organization (WHO) on 11 March 2020 declared the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) outbreak a global pandemic. The scientific community is exerting an extraordinary effort to elucidate all aspects related to SARS-CoV-2, such as the structure, ultrastructure, invasion mechanisms, replication mechanisms, or drugs for treatment, mainly through in vitro studies. Thus, the clinical in vivo data can provide a test bench for new discoveries in the field of SARS-CoV-2, finding new solutions to fight the current pandemic. During this dramatic situation, the normal scientific protocols for the development of new diagnostic procedures or drugs are frequently not completely applied in order to speed up these processes. In this context, interdisciplinarity is fundamental. Specifically, a great contribution can be provided by the association and interpretation of data derived from medical disciplines based on the study of images, such as radiology, nuclear medicine, and pathology. Therefore, here, we highlighted the most recent histopathological and imaging data concerning the SARS-CoV-2 infection in lung and other human organs such as the kidney, heart, and vascular system. In addition, we evaluated the possible matches among data of radiology, nuclear medicine, and pathology departments in order to support the intense scientific work to address the SARS-CoV-2 pandemic. In this regard, the development of artificial intelligence algorithms that are capable of correlating these clinical data with the new scientific discoveries concerning SARS-CoV-2 might be the keystone to get out of the pandemic.
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spelling pubmed-75547962020-10-14 Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases Scimeca, Manuel Urbano, Nicoletta Bonfiglio, Rita Montanaro, Manuela Bonanno, Elena Schillaci, Orazio Mauriello, Alessandro Int J Mol Sci Review In December 2019, physicians reported numerous patients showing pneumonia of unknown origin in the Chinese region of Wuhan. Following the spreading of the infection over the world, The World Health Organization (WHO) on 11 March 2020 declared the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) outbreak a global pandemic. The scientific community is exerting an extraordinary effort to elucidate all aspects related to SARS-CoV-2, such as the structure, ultrastructure, invasion mechanisms, replication mechanisms, or drugs for treatment, mainly through in vitro studies. Thus, the clinical in vivo data can provide a test bench for new discoveries in the field of SARS-CoV-2, finding new solutions to fight the current pandemic. During this dramatic situation, the normal scientific protocols for the development of new diagnostic procedures or drugs are frequently not completely applied in order to speed up these processes. In this context, interdisciplinarity is fundamental. Specifically, a great contribution can be provided by the association and interpretation of data derived from medical disciplines based on the study of images, such as radiology, nuclear medicine, and pathology. Therefore, here, we highlighted the most recent histopathological and imaging data concerning the SARS-CoV-2 infection in lung and other human organs such as the kidney, heart, and vascular system. In addition, we evaluated the possible matches among data of radiology, nuclear medicine, and pathology departments in order to support the intense scientific work to address the SARS-CoV-2 pandemic. In this regard, the development of artificial intelligence algorithms that are capable of correlating these clinical data with the new scientific discoveries concerning SARS-CoV-2 might be the keystone to get out of the pandemic. MDPI 2020-09-22 /pmc/articles/PMC7554796/ /pubmed/32971906 http://dx.doi.org/10.3390/ijms21186960 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Scimeca, Manuel
Urbano, Nicoletta
Bonfiglio, Rita
Montanaro, Manuela
Bonanno, Elena
Schillaci, Orazio
Mauriello, Alessandro
Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title_full Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title_fullStr Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title_full_unstemmed Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title_short Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases
title_sort imaging diagnostics and pathology in sars-cov-2-related diseases
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554796/
https://www.ncbi.nlm.nih.gov/pubmed/32971906
http://dx.doi.org/10.3390/ijms21186960
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