dc.contributor.author | Gric, Tatjana | |
dc.contributor.author | Sokolovski, Sergei | |
dc.contributor.author | Navolokin, Nikita | |
dc.contributor.author | Glushkobskaya, Oksana | |
dc.contributor.author | Rafailov, Edik | |
dc.date.accessioned | 2023-09-18T20:29:16Z | |
dc.date.available | 2023-09-18T20:29:16Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2159-3930 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/150312 | |
dc.description.abstract | Early detection of a tumor makes it more probable that the patient will, finally, beat cancer and recover. The main goal of broadly defined cancer diagnostics is to determine whether a patient has a tumor, where it is located, and its histological type and severity. The major characteristic of the cancer affected tissue is the presence of the glioma cells in the sample. The current approach in diagnosis focuses mainly on microbiological, immunological, and pathological aspects rather than on the “metamaterial geometry” of the diseases. The determination of the effective properties of the biological tissue samples and treating them as disordered metamaterial media has become possible with the development of effective medium approximation techniques. Their advantage lies in their capability to treat the biological tissue samples as metamaterial structures, possessing the well-studied properties. Here, we present, for the first time to our knowledge, the studies on metamaterial properties of biological tissues to identify healthy and cancerous areas in the brain tissue. The results show that the metamaterial properties strongly differ depending on the tissue type, if it is healthy or unhealthy. The obtained effective permittivity values were dependent on various factors, like the amount of different cell types in the sample and their distribution. Based on these findings, the identification of the cancer affected areas based on their effective medium properties was performed. These results prove the metamaterial model capability in recognition of the cancer affected areas. The presented approach can have a significant impact on the development of methodological approaches toward precise identification of pathological tissues and would allow for more effective detection of cancer-related changes. | eng |
dc.format | PDF | |
dc.format.extent | p. 1607-1615 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Compendex | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | https://doi.org/10.1364/OME.393604 | |
dc.title | Metamaterial formalism approach for advancing the recognition of glioma areas in brain tissue biopsies | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 38 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas Valstybinis mokslinių tyrimų institutas Fizinių ir technologijos mokslų centras Aston University | |
dc.contributor.institution | Aston University Saratov State University | |
dc.contributor.institution | Saratov State University Saratov State Medical University | |
dc.contributor.institution | Saratov State University | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.researchfield | N 002 - Fizika / Physics | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | metamaterial | |
dc.subject.en | glioma | |
dc.subject.en | brain | |
dc.subject.en | biopsy | |
dcterms.sourcetitle | Optical materials express | |
dc.description.issue | iss. 7 | |
dc.description.volume | vol. 10 | |
dc.publisher.name | Optical Society of America | |
dc.publisher.city | Washington | |
dc.identifier.doi | 000548184000010 | |
dc.identifier.doi | 10.1364/OME.393604 | |
dc.identifier.elaba | 63266166 | |