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CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned

Background and rationale. Novel coronavirus-related disease (COVID-19) has profoundly influenced hospital organization and structures worldwide. In Italy, the Lombardy Region, with almost 17% of the Italian population, rapidly became the most severely affected area since the pandemic beginning. The...

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Autores principales: Stella, Giulia Maria, Chino, Vittorio, Putignano, Paola, Bertuccio, Francesco, Agustoni, Francesco, Saracino, Laura, Tomaselli, Stefano, Saddi, Jessica, Piloni, Davide, Bortolotto, Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143076/
https://www.ncbi.nlm.nih.gov/pubmed/37104132
http://dx.doi.org/10.3390/tomography9020061
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author Stella, Giulia Maria
Chino, Vittorio
Putignano, Paola
Bertuccio, Francesco
Agustoni, Francesco
Saracino, Laura
Tomaselli, Stefano
Saddi, Jessica
Piloni, Davide
Bortolotto, Chandra
author_facet Stella, Giulia Maria
Chino, Vittorio
Putignano, Paola
Bertuccio, Francesco
Agustoni, Francesco
Saracino, Laura
Tomaselli, Stefano
Saddi, Jessica
Piloni, Davide
Bortolotto, Chandra
author_sort Stella, Giulia Maria
collection PubMed
description Background and rationale. Novel coronavirus-related disease (COVID-19) has profoundly influenced hospital organization and structures worldwide. In Italy, the Lombardy Region, with almost 17% of the Italian population, rapidly became the most severely affected area since the pandemic beginning. The first and the following COVID-19 surges significantly affected lung cancer diagnosis and subsequent management. Much data have been already published regarding the therapeutic repercussions whereas very few reports have focused on the consequences of the pandemic on diagnostic procedures. Methods. We, here, would like to analyze data of novel lung cancer diagnosis performed in our Institution in Norther Italy where we faced the earliest and largest outbreaks of COVID-19 in Italy. Results. We discuss, in detail, the strategies developed to perform biopsies and the safe pathways created in emergency settings to protect lung cancer patients in subsequent therapeutic phases. Quite unexpectedly, no significant differences emerged between cases enrolled during the pandemic and those before, and the two populations were homogeneous considering the composition and diagnostic and complication rates. Conclusions. By pointing out the role of multidisciplinarity in emergency contexts, these data will be of help in the future for designing tailored strategies to manage lung cancer in a real-life setting.
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spelling pubmed-101430762023-04-29 CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned Stella, Giulia Maria Chino, Vittorio Putignano, Paola Bertuccio, Francesco Agustoni, Francesco Saracino, Laura Tomaselli, Stefano Saddi, Jessica Piloni, Davide Bortolotto, Chandra Tomography Communication Background and rationale. Novel coronavirus-related disease (COVID-19) has profoundly influenced hospital organization and structures worldwide. In Italy, the Lombardy Region, with almost 17% of the Italian population, rapidly became the most severely affected area since the pandemic beginning. The first and the following COVID-19 surges significantly affected lung cancer diagnosis and subsequent management. Much data have been already published regarding the therapeutic repercussions whereas very few reports have focused on the consequences of the pandemic on diagnostic procedures. Methods. We, here, would like to analyze data of novel lung cancer diagnosis performed in our Institution in Norther Italy where we faced the earliest and largest outbreaks of COVID-19 in Italy. Results. We discuss, in detail, the strategies developed to perform biopsies and the safe pathways created in emergency settings to protect lung cancer patients in subsequent therapeutic phases. Quite unexpectedly, no significant differences emerged between cases enrolled during the pandemic and those before, and the two populations were homogeneous considering the composition and diagnostic and complication rates. Conclusions. By pointing out the role of multidisciplinarity in emergency contexts, these data will be of help in the future for designing tailored strategies to manage lung cancer in a real-life setting. MDPI 2023-03-31 /pmc/articles/PMC10143076/ /pubmed/37104132 http://dx.doi.org/10.3390/tomography9020061 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Stella, Giulia Maria
Chino, Vittorio
Putignano, Paola
Bertuccio, Francesco
Agustoni, Francesco
Saracino, Laura
Tomaselli, Stefano
Saddi, Jessica
Piloni, Davide
Bortolotto, Chandra
CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title_full CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title_fullStr CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title_full_unstemmed CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title_short CT Scan-Guided Fine Needle Aspiration Cytology for Lung Cancer Diagnosis through the COVID-19 Pandemic: What We Have Learned
title_sort ct scan-guided fine needle aspiration cytology for lung cancer diagnosis through the covid-19 pandemic: what we have learned
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143076/
https://www.ncbi.nlm.nih.gov/pubmed/37104132
http://dx.doi.org/10.3390/tomography9020061
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