Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/107947
Title: Review of thermal and physiological properties of human breast tissue
Authors: Said Camilleri, Jeantide
Farrugia, Lourdes
Curto, Sergio
Rodrigues, Dario B.
Farina, Laura
Caruana Dingli, Gordon
Bonello, Julian
Farhat, Iman
Sammut, Charles V.
Keywords: Breast -- Cancer -- Thermotherapy
Breast -- Cancer -- Treatment
Heat -- Physiological effect
Thermotherapy -- Mathematical models
Electromagnetism -- Physiological effect -- Mathematical models
Issue Date: 2022
Publisher: MDPI
Citation: Said Camilleri, J., Farrugia, L., Curto, S., Rodrigues, D. B., Farina, L., Caruana Dingli, G.,...Sammut, C. V. (2022). Review of Thermal and Physiological Properties of Human Breast Tissue. Sensors, 22(10), 3894.
Abstract: Electromagnetic 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/107947
Appears in Collections:Scholarly Works - FacSciPhy

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