Microwave Hyperthermia of Brain Tumors: A 2D Assessment Parametric Numerical Study
Due to the clinically proven benefit of hyperthermia treatments if added to standard cancer therapies for various tumor sites and the recent development of non-invasive temperature measurements using magnetic resonance systems, the hyperthermia community is convinced that it is a time when even patients with brain tumors could benefit from regional microwave
hyperthermia, even if they are the subject of a treatment to a vital organ. The purpose of this study was to numerically analyze the ability to achieve a therapeutically relevant constructive superposition of electromagnetic (EM) waves in the treatment of hyperthermia targets within the brain. We evaluated the effect of the target size and position, operating frequency, and the number of antenna elements forming the phased array applicator on the treatment quality. In total, 10 anatomically realistic 2D human head models were considered, in which 10 circular hyperthermia targets with diameters of 20, 25, and 30 mm were examined. Additionally, applicators with 8, 12, 16, and 24 antenna elements and operating frequencies of 434, 650, 915, and 1150 MHz, respectively, were analyzed. For all scenarios considered (4800 combinations), the EM field distributions of individual antenna elements were calculated and treatment planning was performed. Their quality was evaluated using parameters applied in clinical practice, i.e., target coverage (TC) and the target to hot-spot quotient (THQ). The 12-antenna phased array system operating at 434 MHz was the best candidate among all tested systems for HT treatments of glioblastoma tumors. The 12 antenna elements met all the requirements to cover the entire target area; an additional increase in the number of antenna elements did not have a significant effect on the treatment quality.
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Bibliographic Details
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Published in
- Sensors (Basel, Switzerland)
Vol. 22; no. 16; p. 6115
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Main Authors
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Redr, Jan,
Pokorny, Tomas,
Drizdal, Tomas,
Fiser, Ondrej,
Brunat, Matous,
Vrba, Jan,
Vrba, David
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Document Type
- Journal Article
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Language
- English
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Published
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Basel
MDPI AG
01. 08. 2022
MDPI
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Subjects
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Bibliography
- ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
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ISSN
- 1424-8220
1424-8220
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DOI
- 10.3390/s22166115
