Jf. Williamson, Monte Carlo modeling of the transverse-axis dose distribution of the Model200 Pd-103 interstitial brachytherapy source, MED PHYS, 27(4), 2000, pp. 643-654
Citations number
35
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
This study presents the first theoretical analysis of the absolute dose-rat
e distribution about the Model 200 Pd-103 interstitial brachytherapy source
. Monte Carlo photon-transport (MCPT) simulation techniques have been used
to evaluate the transverse-axis dose-rate distribution of the Model 200 sou
rce as a function of thickness of the Pd metal coating (containing the Pd-1
03) plated onto the surfaces of right cylindrical graphite pellets containe
d within the seed. The dose-rate constant, Lambda, was realistically estima
ted by simulating the wide-angle, free-air chamber (WAFAC) calibration geom
etry. The WAFAC is the experimental realization of NIST's (National Institu
te of Standards and Technology) recently implemented primary standard of ai
r-kerma strength (S-K). Our results show that polar angle- and distance-dep
endent oblique filtration and shielding effects induce significant and unex
pected photon fluence anisotropy near the transverse-axis and inverse squar
e law deviations at typical calibration distances. Any source consisting of
radioactivity deposited on a highly attenuating surface with sharp edges m
ay exhibit such effects. In the case of the Model 200 seed, the Pd metal th
ickness does not significantly influence the relative dose distribution in
water at distances less than 5 cm, but does make Lambda sensitive to the S-
K measurement geometry. Fortunately, the WAFAC averages fluence over a suff
iciently large aperture that the resultant Lambda, 0.68 +/-0.02 cGy.h(-1)U(
-1), is almost independent of Pd metal layer thickness and in close agreeme
nt with recent measurements and calculations. This value is 20% higher than
that of the renormalized Task Group 43 Lambda value. (C) 2000 American Ass
ociation of Physicists in Medicine.