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Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging()
COVID-19 is associated with characteristic lung CT findings. Radiotherapy simulation CT scans may reveal characteristic COVID-19 findings and identify patients with active or prior infection. We reviewed patients undergoing CT simulation at a major cancer center in an early epicenter of the COVID-19...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672689/ https://www.ncbi.nlm.nih.gov/pubmed/36413878 http://dx.doi.org/10.1016/j.clinimag.2022.11.008 |
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author | Wu, Abraham J. Plodkowski, Andrew Ginsberg, Michelle Shin, Jacob LaPlant, Quincey Shepherd, Annemarie Shaverdian, Narek Ng, Victor Gelblum, Daphna Braunstein, Lior Rimner, Andreas |
author_facet | Wu, Abraham J. Plodkowski, Andrew Ginsberg, Michelle Shin, Jacob LaPlant, Quincey Shepherd, Annemarie Shaverdian, Narek Ng, Victor Gelblum, Daphna Braunstein, Lior Rimner, Andreas |
author_sort | Wu, Abraham J. |
collection | PubMed |
description | COVID-19 is associated with characteristic lung CT findings. Radiotherapy simulation CT scans may reveal characteristic COVID-19 findings and identify patients with active or prior infection. We reviewed patients undergoing CT simulation at a major cancer center in an early epicenter of the COVID-19 pandemic in the United States. Scans were reviewed by radiation oncologists using established radiographic criteria for COVID-19 pneumonia. Radiographic classifications were compared with available COVID-19 PCR test results. A one-tailed t-test was used to compare the rate of positive COVID-19 tests in radiographically suspicious vs. non-suspicious groups. Scans deemed suspicious were re-reviewed by expert diagnostic radiologists. 414 CT simulation scans were performed on 400 patients. 119 patients had COVID-19 PCR test results available. Radiation oncologists considered 71 scans (17.1%) suspicious for COVID-19. Of these, 23 had corresponding COVID-19 PCR tests, and 3/23 (15.7%) were positive for COVID. 107 non-suspicious scans had corresponding COVID-19 test results, and 9 were positive (8.4%). The difference in positive test results between suspicious and non-suspicious groups was not significant (p = 0.23). Upon re-review by a diagnostic radiologist, 25 (35%) scans deemed suspicious by radiation oncologists were confirmed to meet criteria, while the rest were re-classified as “atypical” for COVID-19. We conclude that radiotherapy simulation CT scans can be reviewed for signs of COVID-19 pneumonia by radiation oncologists. However, suspicious CT simulation was not associated with a higher incidence of COVID infection compared with non-suspicious CT simulation, and there was low concordance between radiation oncologist and diagnostic radiologist classification of scans. |
format | Online Article Text |
id | pubmed-9672689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96726892022-11-18 Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() Wu, Abraham J. Plodkowski, Andrew Ginsberg, Michelle Shin, Jacob LaPlant, Quincey Shepherd, Annemarie Shaverdian, Narek Ng, Victor Gelblum, Daphna Braunstein, Lior Rimner, Andreas Clin Imaging Cardiothoracic Imaging COVID-19 is associated with characteristic lung CT findings. Radiotherapy simulation CT scans may reveal characteristic COVID-19 findings and identify patients with active or prior infection. We reviewed patients undergoing CT simulation at a major cancer center in an early epicenter of the COVID-19 pandemic in the United States. Scans were reviewed by radiation oncologists using established radiographic criteria for COVID-19 pneumonia. Radiographic classifications were compared with available COVID-19 PCR test results. A one-tailed t-test was used to compare the rate of positive COVID-19 tests in radiographically suspicious vs. non-suspicious groups. Scans deemed suspicious were re-reviewed by expert diagnostic radiologists. 414 CT simulation scans were performed on 400 patients. 119 patients had COVID-19 PCR test results available. Radiation oncologists considered 71 scans (17.1%) suspicious for COVID-19. Of these, 23 had corresponding COVID-19 PCR tests, and 3/23 (15.7%) were positive for COVID. 107 non-suspicious scans had corresponding COVID-19 test results, and 9 were positive (8.4%). The difference in positive test results between suspicious and non-suspicious groups was not significant (p = 0.23). Upon re-review by a diagnostic radiologist, 25 (35%) scans deemed suspicious by radiation oncologists were confirmed to meet criteria, while the rest were re-classified as “atypical” for COVID-19. We conclude that radiotherapy simulation CT scans can be reviewed for signs of COVID-19 pneumonia by radiation oncologists. However, suspicious CT simulation was not associated with a higher incidence of COVID infection compared with non-suspicious CT simulation, and there was low concordance between radiation oncologist and diagnostic radiologist classification of scans. Elsevier Inc. 2023-01 2022-11-17 /pmc/articles/PMC9672689/ /pubmed/36413878 http://dx.doi.org/10.1016/j.clinimag.2022.11.008 Text en © 2022 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 | Cardiothoracic Imaging Wu, Abraham J. Plodkowski, Andrew Ginsberg, Michelle Shin, Jacob LaPlant, Quincey Shepherd, Annemarie Shaverdian, Narek Ng, Victor Gelblum, Daphna Braunstein, Lior Rimner, Andreas Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title | Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title_full | Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title_fullStr | Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title_full_unstemmed | Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title_short | Detection of COVID-19 pulmonary manifestations with radiotherapy simulation CT imaging() |
title_sort | detection of covid-19 pulmonary manifestations with radiotherapy simulation ct imaging() |
topic | Cardiothoracic Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672689/ https://www.ncbi.nlm.nih.gov/pubmed/36413878 http://dx.doi.org/10.1016/j.clinimag.2022.11.008 |
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