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利用被动式医用微波辐射测量法(MWR)诊断新冠肺炎患者

Diagnostic of Patients with COVID-19 Pneumonia Using Passive Medical Microwave Radiometry (MWR).

作者信息

Emilov Berik, Sorokin Aleksander, Seiitov Meder, Kobayashi Binsei Toshi, Chubakov Tulegen, Vesnin Sergey, Popov Illarion, Krylova Aleksandra, Goryanin Igor

机构信息

Educational-Scientific Medical Center, Kyrgyz State Medical Academy Named after Isa Akhunbaev, Bishkek 720040, Kyrgyzstan.

Department of Physics, Medical Informatics and Biology, Kyrgyz-Russian Slavic University Named after Boris Yeltsin, Bishkek 720000, Kyrgyzstan.

出版信息

Diagnostics (Basel). 2023 Aug 3;13(15):2585. doi: 10.3390/diagnostics13152585.

DOI:10.3390/diagnostics13152585
PMID:37568948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10417460/
Abstract

BACKGROUND

Chest CT is widely regarded as a dependable imaging technique for detecting pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry (MWR) of the lungs as a possible substitute for diagnosing lung involvement.

AIM

The aim of this study is to examine the utility of the MWR approach as a screening tool for diagnosing pneumonia with complications in patients with COVID-19.

METHODS

Our study involved two groups of participants. The control group consisted of 50 individuals (24 male and 26 female) between the ages of 20 and 70 years who underwent clinical evaluations and had no known medical conditions. The main group included 142 participants (67 men and 75 women) between the ages of 20 and 87 years who were diagnosed with COVID-19 complicated by pneumonia and were admitted to the emergency department between June 2020 to June 2021. Skin and lung temperatures were measured at 14 points, including 2 additional reference points, using a previously established method. Lung temperature data were obtained with the MWR2020 (MMWR LTD, Edinburgh, UK). All participants underwent clinical evaluations, laboratory tests, chest CT scans, MWR of the lungs, and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2.

RESULTS

The MWR exhibits a high predictive capacity as demonstrated by its sensitivity of 97.6% and specificity of 92.7%.

CONCLUSIONS

MWR of the lungs can be a valuable substitute for chest CT in diagnosing pneumonia in patients with COVID-19, especially in situations where chest CT is unavailable or impractical.

摘要

背景

胸部CT被广泛认为是检测新冠病毒肺炎患者肺炎的可靠成像技术,但肺部微波辐射测量法(MWR)作为诊断肺部受累的一种可能替代方法,正受到越来越多的关注。

目的

本研究旨在探讨MWR方法作为筛查工具诊断新冠病毒肺炎合并症患者肺炎的效用。

方法

我们的研究涉及两组参与者。对照组由50名年龄在20至70岁之间的个体组成(24名男性和26名女性),他们接受了临床评估且无已知疾病。主要组包括142名年龄在20至87岁之间的参与者(67名男性和75名女性),他们被诊断为新冠病毒肺炎合并症,并于2020年6月至2021年6月期间入住急诊科。使用先前建立的方法在14个点测量皮肤和肺部温度,包括2个额外的参考点。肺部温度数据通过MWR2020(MMWR LTD,英国爱丁堡)获得。所有参与者均接受了临床评估、实验室检查、胸部CT扫描、肺部MWR以及针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的逆转录聚合酶链反应(RT-PCR)检测。

结果

MWR显示出较高的预测能力,其敏感性为97.6%,特异性为92.7%。

结论

肺部MWR在诊断新冠病毒肺炎患者的肺炎方面可以成为胸部CT的有价值替代方法,尤其是在无法进行胸部CT或不切实际的情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/a1bf149f7b4a/diagnostics-13-02585-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/fa0dd65be40c/diagnostics-13-02585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/cc6f798881e9/diagnostics-13-02585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/ad2fe4a0ca7f/diagnostics-13-02585-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/32375e14d6e9/diagnostics-13-02585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/86dc49e09e16/diagnostics-13-02585-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/a1bf149f7b4a/diagnostics-13-02585-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/fa0dd65be40c/diagnostics-13-02585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/cc6f798881e9/diagnostics-13-02585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/ad2fe4a0ca7f/diagnostics-13-02585-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/32375e14d6e9/diagnostics-13-02585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/86dc49e09e16/diagnostics-13-02585-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a3/10417460/a1bf149f7b4a/diagnostics-13-02585-g006.jpg

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