Towards non-invasive liver health monitoring: Comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues

Article

Awal, Md Abdul, Janani, Azin S., Rezaeieh, Sasan Ahdi, Macdonald, Graeme A. and Abbosh, Amin. 2024. "Towards non-invasive liver health monitoring: Comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 9 (1), pp. 2-14. https://doi.org/10.1109/JERM.2024.3416758
Article Title

Towards non-invasive liver health monitoring: Comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues

ERA Journal ID212745
Article CategoryArticle
AuthorsAwal, Md Abdul, Janani, Azin S., Rezaeieh, Sasan Ahdi, Macdonald, Graeme A. and Abbosh, Amin
Journal TitleIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Journal Citation9 (1), pp. 2-14
Number of Pages13
Year2024
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2469-7249
2469-7257
Digital Object Identifier (DOI)https://doi.org/10.1109/JERM.2024.3416758
Web Address (URL)https://ieeexplore.ieee.org/abstract/document/10572299
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

KeywordsCole-Cole model; fatty liver; dielectric measurements; modeling; optimization; statistical analysis
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400399. Biomedical engineering not elsewhere classified
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Byline AffiliationsUniversity of Queensland
Princess Alexandra Hospital, Australia
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