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Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories
PURPOSE: To assess the interobserver and intraobserver agreement of fellowship trained chest radiologists, nonchest fellowship-trained radiologists, and fifth-year radiology residents for COVID-19-related imaging findings based on the consensus statement released by the Radiological Society of North...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association of University Radiologists. Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492048/ https://www.ncbi.nlm.nih.gov/pubmed/32948442 http://dx.doi.org/10.1016/j.acra.2020.08.038 |
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author | Hadied, Mohamad O. Patel, Parth Y. Cormier, Peter Poyiadji, Neo Salman, Mariam Klochko, Chad Nadig, Jeffrey Song, Thomas Peterson, Ed Reeser, Nick |
author_facet | Hadied, Mohamad O. Patel, Parth Y. Cormier, Peter Poyiadji, Neo Salman, Mariam Klochko, Chad Nadig, Jeffrey Song, Thomas Peterson, Ed Reeser, Nick |
author_sort | Hadied, Mohamad O. |
collection | PubMed |
description | PURPOSE: To assess the interobserver and intraobserver agreement of fellowship trained chest radiologists, nonchest fellowship-trained radiologists, and fifth-year radiology residents for COVID-19-related imaging findings based on the consensus statement released by the Radiological Society of North America (RSNA). METHODS: A survey of 70 chest CTs of polymerase chain reaction (PCR)-confirmed COVID-19 positive and COVID-19 negative patients was distributed to three groups of participating radiologists: five fellowship-trained chest radiologists, five nonchest fellowship-trained radiologists, and five fifth-year radiology residents. The survey asked participants to broadly classify the findings of each chest CT into one of the four RSNA COVID-19 imaging categories, then select which imaging features led to their categorization. A 1-week washout period followed by a second survey comprised of randomly selected exams from the initial survey was given to the participating radiologists. RESULTS: There was moderate overall interobserver agreement in each group (κ coefficient range 0.45-0.52 ± 0.02). There was substantial overall intraobserver agreement across the chest and nonchest groups (κ coefficient range 0.61-0.67 ± 0.06) and moderate overall intraobserver agreement within the resident group (κ coefficient 0.58 ± 0.06). For the image features that led to categorization, there were varied levels of agreement in the interobserver and intraobserver components that ranged from fair to perfect kappa values. When assessing agreement with PCR-confirmed COVID status as the key, we observed moderate overall agreement within each group. CONCLUSION: Our results support the reliability of the RSNA consensus classification system for COVID-19-related image findings. |
format | Online Article Text |
id | pubmed-7492048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Association of University Radiologists. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74920482020-09-16 Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories Hadied, Mohamad O. Patel, Parth Y. Cormier, Peter Poyiadji, Neo Salman, Mariam Klochko, Chad Nadig, Jeffrey Song, Thomas Peterson, Ed Reeser, Nick Acad Radiol Original Investigation PURPOSE: To assess the interobserver and intraobserver agreement of fellowship trained chest radiologists, nonchest fellowship-trained radiologists, and fifth-year radiology residents for COVID-19-related imaging findings based on the consensus statement released by the Radiological Society of North America (RSNA). METHODS: A survey of 70 chest CTs of polymerase chain reaction (PCR)-confirmed COVID-19 positive and COVID-19 negative patients was distributed to three groups of participating radiologists: five fellowship-trained chest radiologists, five nonchest fellowship-trained radiologists, and five fifth-year radiology residents. The survey asked participants to broadly classify the findings of each chest CT into one of the four RSNA COVID-19 imaging categories, then select which imaging features led to their categorization. A 1-week washout period followed by a second survey comprised of randomly selected exams from the initial survey was given to the participating radiologists. RESULTS: There was moderate overall interobserver agreement in each group (κ coefficient range 0.45-0.52 ± 0.02). There was substantial overall intraobserver agreement across the chest and nonchest groups (κ coefficient range 0.61-0.67 ± 0.06) and moderate overall intraobserver agreement within the resident group (κ coefficient 0.58 ± 0.06). For the image features that led to categorization, there were varied levels of agreement in the interobserver and intraobserver components that ranged from fair to perfect kappa values. When assessing agreement with PCR-confirmed COVID status as the key, we observed moderate overall agreement within each group. CONCLUSION: Our results support the reliability of the RSNA consensus classification system for COVID-19-related image findings. The Association of University Radiologists. Published by Elsevier Inc. 2020-11 2020-09-15 /pmc/articles/PMC7492048/ /pubmed/32948442 http://dx.doi.org/10.1016/j.acra.2020.08.038 Text en © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Investigation Hadied, Mohamad O. Patel, Parth Y. Cormier, Peter Poyiadji, Neo Salman, Mariam Klochko, Chad Nadig, Jeffrey Song, Thomas Peterson, Ed Reeser, Nick Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title | Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title_full | Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title_fullStr | Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title_full_unstemmed | Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title_short | Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories |
title_sort | interobserver and intraobserver variability in the ct assessment of covid-19 based on rsna consensus classification categories |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492048/ https://www.ncbi.nlm.nih.gov/pubmed/32948442 http://dx.doi.org/10.1016/j.acra.2020.08.038 |
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