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

doi:10.3390/diagnostics11020259

Cited by 17 publications

(11 citation statements)

References 31 publications

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“…The diagnosis of lung complications derived from COVID-19 disease is also supported by internal measurements yielded by a MWR system [42]. The microwave system supplies internal temperature measurements of body tissues, which complements the superficial measurement given by infrared sensors [43].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Performance Assessment of a Real-Time Correction Pseudo-Correlation Microwave Radiometer for Medical Applications

et al. 2021

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A new configuration of a pseudo-correlation type radiometer is proposed for a microwave biomedical application, such as diabetic foot neuropathy. The new approach as well as its simulated performance are thoroughly assessed using commercial off-the-shelf components and custom designed subsystems. We configured a pseudo-correlation receiver, centred at 3.5 GHz, to validate the proposal, comparing its simulated response with a measured alternative based on a 90∘ hybrid coupler pseudo-correlation prototype. We custom designed a balanced Wilkinson power divider and a 180∘ hybrid coupler to fulfil the receiver’s requirements. The proposed configuration demonstrated an improved noise temperature response. The main advantage is to enable the recalibration of the receiver through simultaneous measurable output signals, proportional to each input signal, as well as the correlated response between them.

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Section: Introductionmentioning

confidence: 99%

Analysis and Performance Assessment of a Real-Time Correction Pseudo-Correlation Microwave Radiometer for Medical Applications

et al. 2021

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“…To collect data, skin and lung temperatures were measured at 14 points on each side of the chest, with 2 additional reference points, using a method previously described [14]. The lung temperature data were obtained using the MWR2020 device (formerly RTM-01-RES) MMWR Ltd, Edinburgh, UK, which has a CE Class I certification.…”

Section: Methodsmentioning

confidence: 99%

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

Emilov¹,

Sorokin²,

Seiitov³

et al. 2023

Preprint

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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 the 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 to 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 to 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 (RTM-01-RES) (MMWR LTD, Edinburgh, UK), a CE Class I device. 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 98.6% and specificity of 84.0%. 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.

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“…MWR in medical applications relies on its potential to sense temperature manifestations of tissue pathology before any structural changes, which offers a huge promise for the early-stage detection of diseases [188]. While MWR offers huge diagnostic potential for medical applications, translational efforts into clinical practice as a diagnostic tool face several challenges.…”

Section: Ai-assisted Microwave Radiometrymentioning

confidence: 99%

Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives

et al. 2023

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Microwaves are non-ionizing electromagnetic radiation with waves of electrical and magnetic energy transmitted at different frequencies. They are widely used in various industries, including the food industry, telecommunications, weather forecasting, and in the field of medicine. Microwave applications in medicine are relatively a new field of growing interest, with a significant trend in healthcare research and development. The first application of microwaves in medicine dates to the 1980s in the treatment of cancer via ablation therapy; since then, their applications have been expanded. Significant advances have been made in reconstructing microwave data for imaging and sensing applications in the field of healthcare. Artificial intelligence (AI)-enabled microwave systems can be developed to augment healthcare, including clinical decision making, guiding treatment, and increasing resource-efficient facilities. An overview of recent developments in several areas of microwave applications in medicine, namely microwave imaging, dielectric spectroscopy for tissue classification, molecular diagnostics, telemetry, biohazard waste management, diagnostic pathology, biomedical sensor design, drug delivery, ablation treatment, and radiometry, are summarized. In this contribution, we outline the current literature regarding microwave applications and trends across the medical industry and how it sets a platform for creating AI-based microwave solutions for future advancements from both clinical and technical aspects to enhance patient care.

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

Cited by 17 publications

References 31 publications

Analysis and Performance Assessment of a Real-Time Correction Pseudo-Correlation Microwave Radiometer for Medical Applications

Analysis and Performance Assessment of a Real-Time Correction Pseudo-Correlation Microwave Radiometer for Medical Applications

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

Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives

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