THE USE OF GENERALIZED CELL-SURVIVAL DATA IN A PHYSIOLOGICALLY-BASED OBJECTIVE FUNCTION FOR HYPERTHERMIA TREATMENT PLANNING - A SENSITIVITYSTUDY WITH A SIMPLE TISSUE MODEL IMPLANTED WITH AN ARRAY OF FERROMAGNETIC THERMOSEEDS
Dt. Tompkins et al., THE USE OF GENERALIZED CELL-SURVIVAL DATA IN A PHYSIOLOGICALLY-BASED OBJECTIVE FUNCTION FOR HYPERTHERMIA TREATMENT PLANNING - A SENSITIVITYSTUDY WITH A SIMPLE TISSUE MODEL IMPLANTED WITH AN ARRAY OF FERROMAGNETIC THERMOSEEDS, International journal of radiation oncology, biology, physics, 30(4), 1994, pp. 929-943
Citations number
38
Categorie Soggetti
Oncology,"Radiology,Nuclear Medicine & Medical Imaging
Purpose: A physiologically based objective function for identifying a
combination of ferromagnetic seed temperatures and locations that maxi
mizes the fraction of tumor cells killed in pretreatment planning of l
ocal hyperthermia. Methods and Materials: An objective-function is dev
eloped and coupled to finite element software that solves the bioheat
transfer equation. The sensitivity of the objective function is studie
d in the optimization of a ferromagnetic hyperthermia treatment. The o
bjective function has several salient features including (a) a physiol
ogical basis that considers increasing the fraction of cells killed wi
th increasing temperatures above a minimum therapeutic temperature (T-
min,T-thera), (b) a term to penalize for heating of normal tissues abo
ve T-min,T-thera, and (c) a scalar weighting factor (gamma) that has t
reatment implications. Reasonable estimates for gamma are provided and
their influence on the objective function is demonstrated. The cell-k
ill algorithm formulated in the objective function is based empiricall
y upon the behavior of published hyperthermic cell-survival data. The
objective function is shown to be independent of normal tissue size an
d shape when subjected to a known outer-surface, thermal boundary cond
ition. Therefore, fractions of cells killed in tumors of different sha
pes and sizes tan be compared to determine the relative performance of
thermoseed arrays to heat different tumors. Results: In simulations w
ith an idealized tissue model perfused by blood at various rates, maxi
ma of the objective function are unique and identify seed spacings and
Curie-point temperatures that maximize the fraction of tumor cells ki
lled. In ferromagnetic hyperthermia treatment planning, seed spacing c
an be based on maximizing the minimum tumor temperature and minimizing
the maximum normal tissue temperature. It is shown that this treatmen
t plan is less effective than a plan based on seed spacings that maxim
ize the objective function. Conclusions: It is shown that under the as
sumptions of the model and based on a desired therapeutic goal, the ob
jective function identifies a combination of thermoseed temperatures a
nd locations that maximizes the fraction of tumor cells killed.