ArticleDiagnostics (Basel, Switzerland)2021
Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04568525 (Microwave Radiation for Early Diagnostics of Pneumonia in Patients With COVID-19), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Microwave Radiation for Early Diagnostics of Pneumonia in Patients With COVID-19
Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- Breast Cancer Detection via Multi-Tiered Self-Contrastive Learning in Microwave Radiometric Imaging.Diagnostics (Basel, Switzerland) · 2025Article
- Review of the Capacity to Accurately Detect the Temperature of Human Skin Tissue Using the Microwave Radiation Method.Biosensors · 2024Review
- Diagnostic of Patients with COVID-19 Pneumonia Using Passive Medical Microwave Radiometry (MWR).Diagnostics (Basel, Switzerland) · 2023Article
- Microwave Radiometry for the Diagnosis and Monitoring of Inflammatory Arthritis.Diagnostics (Basel, Switzerland) · 2023Review
- Multifrequency Microwave Radiometry for Characterizing the Internal Temperature of Biological Tissues.Biosensors · 2022Article
- Dynamic Weight Agnostic Neural Networks and Medical Microwave Radiometry (MWR) for Breast Cancer Diagnostics.Diagnostics (Basel, Switzerland) · 2022Article
- Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms.Biomedical engineering · 2022Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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