St. Clegg et al., HYPERTHERMIA TREATMENT PLANNING AND TEMPERATURE DISTRIBUTION RECONSTRUCTION - A CASE-STUDY, International journal of hyperthermia, 12(1), 1996, pp. 65-76
Citations number
19
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging",Oncology
While a great deal of effort has been applied toward solving the techn
ical problems associated with modelling clinical hyperthermia treatmen
ts, much of that effort has focused on only estimating the power depos
ition. Little effort has been applied toward using the modelled power
depositions (either electromagnetic (EM) pr ultrasonic) as inputs to e
stimate the hyperthermia induced three-dimensional temperature distrib
utions. This paper presents a case report of a patient treated with hy
perthermia at the Duke University Medical Center where numerical model
ling of the EM power deposition was used to prospectively plan the tre
atment. Additionally, the modelled power was used as input to retrospe
ctively reconstruct the transient three-dimensional temperature distri
bution. The modelled power deposition indicated the existence of an un
desirable region of high power in the normal tissue. Based upon this r
esult, amplitudes and phases for driving the hyperthermia applicator w
ere determined that eliminated the region of high power and subsequent
measurements confirmed this. The steady-state and transient three-dim
ensional temperature distributions were reconstructed for four out of
the seven treatments. The reconstructed Steady-state temperatures agre
ed with the measured temperatures; root-mean-square error ranged from
0.45 to 1.21 degrees C. The transient three-dimensional tumour tempera
ture was estimated assuming that the perfusion was constant throughout
the treatment. Using the computed three-dimensional transient tempera
ture distribution, the hyperthermia thermal dose was computed. The equ
ivalent minutes at 43 degrees C achieved by 50% (T(50)Eq43) of the tum
our volume was computed from the measured data and the three-dimension
al reconstructed distribution yielding T(50)Eq43 = 40.6 and 19.8 min r
espectively.