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dc.contributor.authorSaid Camilleri, Jeantide
dc.contributor.authorFarrugia, Lourdes
dc.contributor.authorCurto, Sergio
dc.contributor.authorRodrigues, Dario B
dc.contributor.authorFarina, Laura
dc.contributor.authorCaruana Dingli, Gordon
dc.contributor.authorBonello, Julian
dc.contributor.authorFarhat, Iman
dc.contributor.authorSammut, Charles V
dc.date.accessioned2022-05-31T18:04:42Z
dc.date.available2022-05-31T18:04:42Z
dc.date.issued2022-05-20
dc.identifier.urihttp://hdl.handle.net/10713/19029
dc.description.abstractlectromagnetic thermal therapies for cancer treatment, such as microwave hyperthermia, aim to heat up a targeted tumour site to temperatures within 40 and 44 °C. Computational simulations used to investigate such heating systems employ the Pennes' bioheat equation to model the heat exchange within the tissue, which accounts for several tissue properties: density, specific heat capacity, thermal conductivity, metabolic heat generation rate, and blood perfusion rate. We present a review of these thermal and physiological properties relevant for hyperthermia treatments of breast including fibroglandular breast, fatty breast, and breast tumours. The data included in this review were obtained from both experimental measurement studies and estimated properties of human breast tissues. The latter were used in computational studies of breast thermal treatments. The measurement methods, where available, are discussed together with the estimations and approximations considered for values where measurements were unavailable. The review concludes that measurement data for the thermal and physiological properties of breast and tumour tissue are limited. Fibroglandular and fatty breast tissue properties are often approximated from those of generic muscle or fat tissue. Tumour tissue properties are mostly obtained from approximating equations or assumed to be the same as those of glandular tissue. We also present a set of reliable data, which can be used for more accurate modelling and simulation studies to better treat breast cancer using thermal therapies.en_US
dc.description.urihttps://doi.org/10.3390/s22103894en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofSensors (Basel, Switzerland)en_US
dc.subjectPennes bioheat equationen_US
dc.subjectbreast canceren_US
dc.subjectbreast tissueen_US
dc.subjectphysiological propertiesen_US
dc.subjectthermal propertiesen_US
dc.titleReview of Thermal and Physiological Properties of Human Breast Tissue.en_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s22103894
dc.identifier.pmid35632302
dc.source.journaltitleSensors (Basel, Switzerland)
dc.source.volume22
dc.source.issue10
dc.source.countrySwitzerland


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