Impact Statement:Take-Home Messages •
Abstract:
Metabolic dysfunction-associated steatotic liver disease ranks among the most prevalent chronic liver conditions worldwide. To reduce its burden, early diagnosis is vital...Show MoreMetadata
Impact Statement:
Take-Home Messages •
Abstract:
Metabolic dysfunction-associated steatotic liver disease ranks among the most prevalent chronic liver conditions worldwide. To reduce its burden, early diagnosis is vital to enable timely medication and rehabilitation. The non-invasive diagnosis of liver health is challenging due to the limitations of existing methods. For this purpose, the design of portable non-invasive electromagnetic sensors requires knowledge of how human liver tissue and other abdominal tissues interact with electromagnetic waves. This necessitates the accurate characterisation of dielectric properties of the liver and adjacent abdominal tissues. Since postmortem changes or prolonged storage significantly change those properties and lead to incorrect interpretation, fresh human abdominal tissues, including skin, fat, muscle, and liver, were obtained at surgery, and their dielectric properties were measured immediately in the microwave frequency range of 0.5 GHz to 15 GHz. An adaptive weighted vector mean optimization algorithm was used to derive the parameters of a second-order Cole-Cole model using the experimental data. Statistical and cluster analyses were performed on the curated database following the derived model. The results showed that hepatic steatosis significantly changed the dielectric properties of the liver (p < 0.001). Moreover, the liver had distinct dielectric properties from the skin, fat, and muscle tissues (p < 0.05). These findings suggest that electromagnetic sensors could be used to assess liver health in a non-invasive way, which could improve liver health outcomes and reduce costs.
Published in: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology ( Volume: 9, Issue: 1, March 2025)
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- IEEE Keywords
- Index Terms
- Human Tissue ,
- Abdominal Tissue ,
- Dielectric Spectroscopy ,
- Liver Health ,
- Liver Disease ,
- Frequency Range ,
- Liver Tissue ,
- Optimization Algorithm ,
- Muscle Tissue ,
- Human Liver ,
- Dielectric Properties ,
- Second-order Model ,
- Microwave Frequency ,
- Liver Conditions ,
- Postmortem Changes ,
- Steatotic Livers ,
- Tissue Types ,
- Optimization Process ,
- Dielectric Constant ,
- Healthy Tissue ,
- Healthy Liver ,
- Loss Factor ,
- Dielectric Loss Factor ,
- Tissue Properties ,
- Debye Temperature ,
- Predefined Threshold Value ,
- Tissue Concentrations ,
- Severe Hepatic Steatosis ,
- Severe Steatosis ,
- Frequency Points
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Human Tissue ,
- Abdominal Tissue ,
- Dielectric Spectroscopy ,
- Liver Health ,
- Liver Disease ,
- Frequency Range ,
- Liver Tissue ,
- Optimization Algorithm ,
- Muscle Tissue ,
- Human Liver ,
- Dielectric Properties ,
- Second-order Model ,
- Microwave Frequency ,
- Liver Conditions ,
- Postmortem Changes ,
- Steatotic Livers ,
- Tissue Types ,
- Optimization Process ,
- Dielectric Constant ,
- Healthy Tissue ,
- Healthy Liver ,
- Loss Factor ,
- Dielectric Loss Factor ,
- Tissue Properties ,
- Debye Temperature ,
- Predefined Threshold Value ,
- Tissue Concentrations ,
- Severe Hepatic Steatosis ,
- Severe Steatosis ,
- Frequency Points
- Author Keywords