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Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia

Computed tomography (CT) has been an essential diagnostic tool during the COVID-19 pandemic. The study aimed to develop an optimal CT protocol in terms of safety and reliability. For this, we assessed the inter-observer agreement between CT and low-dose CT (LDCT) with soft and sharp kernels using a...

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Autores principales: Blokhin, Ivan, Gombolevskiy, Victor, Chernina, Valeria, Gusev, Maxim, Gelezhe, Pavel, Aleshina, Olga, Nikolaev, Alexander, Kulberg, Nicholas, Morozov, Sergey, Reshetnikov, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836391/
https://www.ncbi.nlm.nih.gov/pubmed/35160121
http://dx.doi.org/10.3390/jcm11030669
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author Blokhin, Ivan
Gombolevskiy, Victor
Chernina, Valeria
Gusev, Maxim
Gelezhe, Pavel
Aleshina, Olga
Nikolaev, Alexander
Kulberg, Nicholas
Morozov, Sergey
Reshetnikov, Roman
author_facet Blokhin, Ivan
Gombolevskiy, Victor
Chernina, Valeria
Gusev, Maxim
Gelezhe, Pavel
Aleshina, Olga
Nikolaev, Alexander
Kulberg, Nicholas
Morozov, Sergey
Reshetnikov, Roman
author_sort Blokhin, Ivan
collection PubMed
description Computed tomography (CT) has been an essential diagnostic tool during the COVID-19 pandemic. The study aimed to develop an optimal CT protocol in terms of safety and reliability. For this, we assessed the inter-observer agreement between CT and low-dose CT (LDCT) with soft and sharp kernels using a semi-quantitative severity scale in a prospective study (Moscow, Russia). Two consecutive scans with CT and LDCT were performed in a single visit. Reading was performed by ten radiologists with 3–25 years’ experience. The study included 230 patients, and statistical analysis showed LDCT with a sharp kernel as the most reliable protocol (percentage agreement 74.35 ± 43.77%), but its advantage was marginal. There was no significant correlation between radiologists’ experience and average percentage agreement for all four evaluated protocols. Regarding the radiation exposure, CTDI(vol) was 3.6 ± 0.64 times lower for LDCT. In conclusion, CT and LDCT with soft and sharp reconstructions are equally reliable for COVID-19 reporting using the “CT 0-4” scale. The LDCT protocol allows for a significant decrease in radiation exposure but may be restricted by body mass index.
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spelling pubmed-88363912022-02-12 Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia Blokhin, Ivan Gombolevskiy, Victor Chernina, Valeria Gusev, Maxim Gelezhe, Pavel Aleshina, Olga Nikolaev, Alexander Kulberg, Nicholas Morozov, Sergey Reshetnikov, Roman J Clin Med Article Computed tomography (CT) has been an essential diagnostic tool during the COVID-19 pandemic. The study aimed to develop an optimal CT protocol in terms of safety and reliability. For this, we assessed the inter-observer agreement between CT and low-dose CT (LDCT) with soft and sharp kernels using a semi-quantitative severity scale in a prospective study (Moscow, Russia). Two consecutive scans with CT and LDCT were performed in a single visit. Reading was performed by ten radiologists with 3–25 years’ experience. The study included 230 patients, and statistical analysis showed LDCT with a sharp kernel as the most reliable protocol (percentage agreement 74.35 ± 43.77%), but its advantage was marginal. There was no significant correlation between radiologists’ experience and average percentage agreement for all four evaluated protocols. Regarding the radiation exposure, CTDI(vol) was 3.6 ± 0.64 times lower for LDCT. In conclusion, CT and LDCT with soft and sharp reconstructions are equally reliable for COVID-19 reporting using the “CT 0-4” scale. The LDCT protocol allows for a significant decrease in radiation exposure but may be restricted by body mass index. MDPI 2022-01-27 /pmc/articles/PMC8836391/ /pubmed/35160121 http://dx.doi.org/10.3390/jcm11030669 Text en © 2022 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 Article
Blokhin, Ivan
Gombolevskiy, Victor
Chernina, Valeria
Gusev, Maxim
Gelezhe, Pavel
Aleshina, Olga
Nikolaev, Alexander
Kulberg, Nicholas
Morozov, Sergey
Reshetnikov, Roman
Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title_full Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title_fullStr Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title_full_unstemmed Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title_short Inter-Observer Agreement between Low-Dose and Standard-Dose CT with Soft and Sharp Convolution Kernels in COVID-19 Pneumonia
title_sort inter-observer agreement between low-dose and standard-dose ct with soft and sharp convolution kernels in covid-19 pneumonia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836391/
https://www.ncbi.nlm.nih.gov/pubmed/35160121
http://dx.doi.org/10.3390/jcm11030669
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