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Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan

The global spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19), could be due to limited access to diagnostic tests and equipment. Currently, most diagnoses use the reverse transcription polymerase chain reaction (RT-PCR) and chest computed tomo...

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Autores principales: Osmonov, Batyr, Ovchinnikov, Lev, Galazis, Christopher, Emilov, Berik, Karaibragimov, Mustafa, Seitov, Meder, Vesnin, Sergey, Losev, Alexander, Levshinskii, Vladislav, Popov, Illarion, Mustafin, Chingiz, Kasymbekov, Turat, Goryanin, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914607/
https://www.ncbi.nlm.nih.gov/pubmed/33562419
http://dx.doi.org/10.3390/diagnostics11020259
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author Osmonov, Batyr
Ovchinnikov, Lev
Galazis, Christopher
Emilov, Berik
Karaibragimov, Mustafa
Seitov, Meder
Vesnin, Sergey
Losev, Alexander
Levshinskii, Vladislav
Popov, Illarion
Mustafin, Chingiz
Kasymbekov, Turat
Goryanin, Igor
author_facet Osmonov, Batyr
Ovchinnikov, Lev
Galazis, Christopher
Emilov, Berik
Karaibragimov, Mustafa
Seitov, Meder
Vesnin, Sergey
Losev, Alexander
Levshinskii, Vladislav
Popov, Illarion
Mustafin, Chingiz
Kasymbekov, Turat
Goryanin, Igor
author_sort Osmonov, Batyr
collection PubMed
description The global spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19), could be due to limited access to diagnostic tests and equipment. Currently, most diagnoses use the reverse transcription polymerase chain reaction (RT-PCR) and chest computed tomography (CT). However, challenges exist with CT use due to infection control, lack of CT availability in low- and middle-income countries, and low RT-PCR sensitivity. Passive microwave radiometry (MWR), a cheap, non-radioactive, and portable technology, has been used for cancer and other diseases’ diagnoses. Here, we tested MWR use first time for the early diagnosis of pulmonary COVID-19 complications in a cross-sectional controlled trial in order to evaluate MWR use in hospitalized patients with COVID-19 pneumonia and healthy individuals. We measured the skin and internal temperature using 30 points identified on the body, for both lungs. Pneumonia and lung damage were diagnosed by both CT scan and doctors’ diagnoses (pneumonia+/pneumonia−). COVID-19 was determined by RT-PCR (covid+/covid−). The best MWR results were obtained for the pneumonia−/covid− and pneumonia+/covid+ groups. The study suggests that MWR could be used for diagnosing pneumonia in COVID-19 patients. Since MWR is inexpensive, its use will ease the financial burden for both patients and countries. Clinical Trial Number: NCT04568525.
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spelling pubmed-79146072021-03-01 Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan Osmonov, Batyr Ovchinnikov, Lev Galazis, Christopher Emilov, Berik Karaibragimov, Mustafa Seitov, Meder Vesnin, Sergey Losev, Alexander Levshinskii, Vladislav Popov, Illarion Mustafin, Chingiz Kasymbekov, Turat Goryanin, Igor Diagnostics (Basel) Article The global spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19), could be due to limited access to diagnostic tests and equipment. Currently, most diagnoses use the reverse transcription polymerase chain reaction (RT-PCR) and chest computed tomography (CT). However, challenges exist with CT use due to infection control, lack of CT availability in low- and middle-income countries, and low RT-PCR sensitivity. Passive microwave radiometry (MWR), a cheap, non-radioactive, and portable technology, has been used for cancer and other diseases’ diagnoses. Here, we tested MWR use first time for the early diagnosis of pulmonary COVID-19 complications in a cross-sectional controlled trial in order to evaluate MWR use in hospitalized patients with COVID-19 pneumonia and healthy individuals. We measured the skin and internal temperature using 30 points identified on the body, for both lungs. Pneumonia and lung damage were diagnosed by both CT scan and doctors’ diagnoses (pneumonia+/pneumonia−). COVID-19 was determined by RT-PCR (covid+/covid−). The best MWR results were obtained for the pneumonia−/covid− and pneumonia+/covid+ groups. The study suggests that MWR could be used for diagnosing pneumonia in COVID-19 patients. Since MWR is inexpensive, its use will ease the financial burden for both patients and countries. Clinical Trial Number: NCT04568525. MDPI 2021-02-07 /pmc/articles/PMC7914607/ /pubmed/33562419 http://dx.doi.org/10.3390/diagnostics11020259 Text en © 2021 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 Article
Osmonov, Batyr
Ovchinnikov, Lev
Galazis, Christopher
Emilov, Berik
Karaibragimov, Mustafa
Seitov, Meder
Vesnin, Sergey
Losev, Alexander
Levshinskii, Vladislav
Popov, Illarion
Mustafin, Chingiz
Kasymbekov, Turat
Goryanin, Igor
Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title_full Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title_fullStr Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title_full_unstemmed Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title_short Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan
title_sort passive microwave radiometry for the diagnosis of coronavirus disease 2019 lung complications in kyrgyzstan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914607/
https://www.ncbi.nlm.nih.gov/pubmed/33562419
http://dx.doi.org/10.3390/diagnostics11020259
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