Jf. Williamson, MONTE CARLO-BASED DOSE-RATE TABLES FOR THE AMERSHAM CDCS.J AND 3M MODEL-6500 CS-137 TUBES, International journal of radiation oncology, biology, physics, 41(4), 1998, pp. 959-970
Citations number
28
Categorie Soggetti
Oncology,"Radiology,Nuclear Medicine & Medical Imaging
Purpose: (1) To present reference-quality dose-rate distributions for
the Amersham CDCS.J-type Cs-137 intracavitary source thitherto unavail
able in the literature) and updated tables for the 3M model 6500/6D6C
source. (2) To assess the accuracy of the widely used ID pathlength (S
ievert integral) algorithm for lightly filtered Cs-137 tube sources. M
ethods and Materials: A Monte Carlo photon-transport code is used to c
alculate the dose-rate distributions about the 3M source and the CDCS.
J source based on radiographic examination of the sources and the vend
ors' specifications. Dose-rate distributions are provided in the form
of Cartesian ''away-and-along'' lookup tables. Using a general form of
the Sievert integral, calculated dose-rate distributions were compare
d to the Monte Carlo benchmark calculations treating the filtration co
efficients as best-fit parameters as well as approximating them by lin
ear energy absorption coefficients, In addition, the errors introduced
by approximating the active source core by uniform cylinders or line
sources was evaluated. Results: The Model CDCS.J dose distribution dif
fers from that of the 3M model 6500 source by -5.9% to +14.4% (root-me
an-square [RMS] average: 2.6%). The RMS accuracy of the Sievert algori
thm is 2.4% to 2.8% terror range of -1.4% to 7.6%) when filtration coe
fficients for steel and ceramic media are approximated by linear energ
y absorption coefficients. If the filtration coefficients are treated
as parameters of best fit, selected to minimize the discrepancies betw
een ID pathlength and Monte Carlo calculations, the RMS error is reduc
ed to 0.8% (error range of -1.8% to 4.1%), The optimal values of stain
less steel and low-density ceramic or glass filtration coefficients ar
e approximately independent of the source geometry. Conclusions: The w
idely used Sievert integral algorithm accurately characterizes the dos
e distribution around stainless-steel clad low-density matrix Cs-137 s
ources, particularly if design-independent best-fit values of the filt
ration coefficients are used. Although both families of source designs
studied produce similar dose distributions, source-design specific do
se distributions should be used for clinical treatment planning and do
se-algorithm validation. (C) 1998 Elsevier Science Inc.