A semi-empirical treatment planning model for optimization of multiprobe cryosurgery.
A model is presented for treatment planning of multiprobe cryosurgery. In this model a thermal simulation algorithm is used to generate temperature distribution from cryoprobes, visualize isotherms in the anatomical region of interest (ROI) and provide tools to assist estimation of the amount of freezing damage to the target and surrounding normal structures. Calculations may be performed for any given freezing time for the selected set of operation parameters. The thermal simulation is based on solving the transient heat conduction equation using finite element methods for a multiprobe geometry. As an example, a semi-empirical optimization of 2D placement of six cryoprobes and their thermal protocol for the first freeze cycle is presented. The effectiveness of the optimized treatment protocol was estimated by generating temperature-volume histograms and calculating the objective function for the anatomy of interest. Two phantom experiments were performed to verify isotherm locations predicted by calculations. A comparison of the predicted 0 degrees C isotherm with the actual iceball boundary imaged by x-ray CT demonstrated a spatial agreement within +/-2 mm.
Baissalov
R
R
Department of Medical Physics, Tom Baker Cancer Centre, Calgary, Canada.
Sandison
G A
GA
Donnelly
B J
BJ
Saliken
J C
JC
McKinnon
J G
JG
Muldrew
K
K
Rewcastle
J C
JC
D000465:Algorithms; D055592:Biophysical Phenomena; D001703:Biophysics; D003452:Cryosurgery / Q000009:adverse effects / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008954:Models, Biological; D019047:Phantoms, Imaging; D011467:Prostate / Q000601:surgery; D013696:Temperature; D014521:Urethra / Q000293:injuries