The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Recent developments in modeling heat transfer in blood perfused tissues
Abstract
Successful hyperthermia treatment of tumors requires understanding the attendant thermal processes in both diseased and healthy tissue. Accordingly, it is essential for developers and users of hyperthermia equipment to predict, measure and interpret correctly the tissue thermal and vascular response to heating. Modeling of heat transfer in living tissues is a means towards this end. Due to the complex morphology of living tissues, such modeling is a difficult task and some simplifying assumptions are needed. Some investigators have recently argued that Pennes' interpretation of the vascular contribution to heat transfer in perfused tissues fails to account for the actual thermal equilibration process between the flowing blood and the surrounding tissue and proposed new models, presumably based on a more realistic anatomy of the perfused tissue. The present review compares and contrasts several of the new bio-heat transfer models, emphasizing the problematics of their experimental validation, in the absence of measuring equipment capable of reliable evaluation of tissue properties and their variations that occur in the spatial scale of blood vessels with diameters less than about .2 mm. For the most part, the new models still lack sound experimental grounding, and in view of their inherent complexity, the best practical approach for modeling bio-heat transfer during hyperthermia may still be the Pennes model, providing its use is based on some insights gained from the studies described here. In such cases, these models should yield a more realistic description of tissue locations and/or thermal conditions for which the Pennes' model might not apply.
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Citations
Cites
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Fundamentals and advances in magnetic hyperthermia
Périgo, E. A., Hemery, G., Sandre, O., Ortega, D., Garaio, E., Plazaola, F., & Teran, F. J. (2015) · Applied Physics Reviews · doi:10.1063/1.4935688 · Cited by 836
A perspective on medical infrared imaging
Jiang, L. J., Ng, E. Y. K., Yeo, A. C. B., Wu, S., Pan, F., Yau, W. Y., Chen, J. H., & Yang, Y. (2005) · Journal of Medical Engineering & Technology · doi:10.1080/03091900512331333158 · Cited by 283
Brazel, C. S. (2009) · Pharmaceutical Research · doi:10.1007/s11095-008-9773-2 · Cited by 264
Thermal Indices and Thermophysiological Modeling for Heat Stress
Havenith, G., & Fiala, D. (2015) · Comprehensive Physiology · doi:10.1002/cphy.c140051 · Cited by 262
Kainz, W., Neufeld, E., Bolch, W. E., Graff, C. G., Kim, C. H., Kuster, N., Lloyd, B., Morrison, T., Segars, P., Yeom, Y. S., et al. (2019) · IEEE Transactions on Radiation and Plasma Medical Sciences · doi:10.1109/trpms.2018.2883437 · Cited by 109
Metadata
- Authors
- Arkin, H., Xu, L. X., & Holmes, K. R.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1994
- Volume
- 41
- Issue
- 2
- Pages
- 97-107
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2129309475
- Cited by
- 431
- References
- 33
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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