Статья

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

B. Osmonov, L. Ovchinnikov, C. Galazis, B. Emilov, M. Karaibragimov, M. Seitov, S. Vesnin, A. Losev, V. Levshinskii, I. Popov, C. Mustafin, T. Kasymbekov, I. Goryanin,
2021

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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  • 1. Version of Record от 2021-02-07

Метаданные

Об авторах
  • B. Osmonov
    Educational-Scientific Medical Center, Kyrgyz State Medical Academy (KSMA), 720040 Bishkek, Kyrgyzstan;, z_cool@mail.ru
  • L. Ovchinnikov
    Medical Microwave Radiometry LTD, Edinburgh EH10 5LZ, UK;, ksigne@yandex.ru, (L.O.);, vesnin47@gmail.com, (S.V.)
  • C. Galazis
    School of Informatics, University of Edinburgh, Edinburgh EH8 9AZ, UK;, chrisgalazis@gmail.com
  • B. Emilov
    Internal Diseases Department, International Medical University (IMU), 720021 Bishkek, Kyrgyzstan;, emilov9090@mail.ru, (B.E.);, dr.korkunov@gmail.com, (M.K.);, seiitov@outlook.com, (M.S.)
  • M. Karaibragimov
    Internal Diseases Department, International Medical University (IMU), 720021 Bishkek, Kyrgyzstan;, emilov9090@mail.ru, (B.E.);, dr.korkunov@gmail.com, (M.K.);, seiitov@outlook.com, (M.S.)
  • M. Seitov
    Internal Diseases Department, International Medical University (IMU), 720021 Bishkek, Kyrgyzstan;, emilov9090@mail.ru, (B.E.);, dr.korkunov@gmail.com, (M.K.);, seiitov@outlook.com, (M.S.)
  • S. Vesnin
    Medical Microwave Radiometry LTD, Edinburgh EH10 5LZ, UK;, ksigne@yandex.ru, (L.O.);, vesnin47@gmail.com, (S.V.), RTM Diagnostic, LLC, 55/59 b.1, B. Pochtovaya, 105082 Moscow, Russia
  • A. Losev
    Faculty of Mathematics and Information Technology, Volgograd State University, 400062 Volgograd, Russia;, allosev59@gmail.com, (A.L.);, vladi.lev.email@gmail.com, (V.L.);, popov.larion@yandex.ru, (I.P.)
  • V. Levshinskii
    Faculty of Mathematics and Information Technology, Volgograd State University, 400062 Volgograd, Russia;, allosev59@gmail.com, (A.L.);, vladi.lev.email@gmail.com, (V.L.);, popov.larion@yandex.ru, (I.P.)
  • I. Popov
    Faculty of Mathematics and Information Technology, Volgograd State University, 400062 Volgograd, Russia;, allosev59@gmail.com, (A.L.);, vladi.lev.email@gmail.com, (V.L.);, popov.larion@yandex.ru, (I.P.)
  • C. Mustafin
    Komfort Clinic, 720020 Bishkek, Kyrgyzstan;, chingis.x@gmail.com, (C.M.);, medcenter-kg@mail.ru, (T.K.)
  • T. Kasymbekov
    Komfort Clinic, 720020 Bishkek, Kyrgyzstan;, chingis.x@gmail.com, (C.M.);, medcenter-kg@mail.ru, (T.K.)
  • I. Goryanin
    School of Informatics, University of Edinburgh, Edinburgh EH8 9AZ, UK;, chrisgalazis@gmail.com, Biological Systems Unit, Okinawa Institute Science and Technology, Kunigami District, Okinawa 904-0495, Japan
Название журнала
  • Diagnostics
Том
  • 11
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  • 2
Страницы
  • 259
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  • MDPI
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
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  • Свободная лицензия
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