Can we settle with single-band radiometric temperature monitoring during hyperthermia treatment of chestwall recurrence of breast cancer using a dual-mode transceiving applicator?
The total thermal dose that can be delivered during hyperthermia treatments is frequently limited by temperature heterogeneities in the heated tissue volume. Reliable temperature information on the heated area is thus vital for the optimization of clinical dosimetry. Microwave radiometry has been proposed as an accurate, quick and painless temperature sensing technique for biological tissue. Advantages include the ability to sense volume-averaged temperatures from subsurface tissue non-invasively, rather than with a limited set of point measurements typical of implanted temperature probes. We present a procedure to estimate the maximum tissue temperature from a single radiometric brightness temperature which is based on a numerical simulation of 3D tissue temperature distributions induced by microwave heating at 915 MHz. The temperature retrieval scheme is evaluated against errors arising from unknown variations in thermal, electromagnetic and design model parameters. Whereas realistic deviations from base values of dielectric and thermal parameters have only marginal impact on performance, pronounced deviations in estimated maximum tissue temperature are observed for unanticipated variations of the temperature or thickness of the bolus compartment. The need to pay particular attention to these latter applicator construction parameters in future clinical implementation of the thermometric method is emphasized.
Jacobsen
Svein
S
Electrical Engineering Group, Department of Physics and Technology, Faculty of Science, University of Tromsø, N-9037 Tromsø, Norway. Svein.Jacobsen@phys.uit.no
Stauffer
Paul R
PR
D001831:Body Temperature; D001943:Breast Neoplasms / Q000628:therapy*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D006979:Hyperthermia, Induced / Q000295:instrumentation / Q000379:methods*; D008872:Microwaves; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D011874:Radiometry / Q000295:instrumentation / Q000379:methods*; D035441:Thoracic Wall / Q000528:radiation effects*