Monte Carlo-aided dosimetry of the symmetra model I25.S06 125I, interstitial brachytherapy seed
2000 (English)In: Medical physics (Lancaster), ISSN 0094-2405, Vol. 27, no 5, 1076-1085 p.Article in journal (Refereed) Published
A dosimetric study of a new 125I seed for permanent prostate implant, the Symmetra 125I Seed model I25.S06, has been undertaken utilizing Monte Carlo photon transport calculations. All dosimetric quantities recommended by the AAPM Task Group 43 (TG-43) report have been calculated. Quantities determined are dose rate constant, radial dose function, anisotropy function, anisotropy factor, and anisotropy constant. The recently (January 1999) revised NIST (National Institute of Standards and Technology) 125I standard for air kerma strength calibration was taken into account as well as updated interaction cross-section data. Calculations were done for the competing model 6702 source for the purpose of comparison. The calculated dose-rate constants for the two seeds are 1.010 and 1.016 cGyh−1U−1 for the Symmetra and model 6702 seeds, respectively. The latter value deviates from the value, 1.039 cGyh−1U−1, recommended in the TG-43 report. The calculated radial dose function for the Symmetra new seed is more penetrating than that of the model 6711 seed (by 20% at 5 cm distance) but agrees closely (within statistical errors) with that of the model 6702 seed up to distances of 10 cm. The anisotropy function for the seed is also close to that for the 6702 seed with a tendency of somewhat more pronounced anisotropy (lower values at small angles from the longitudinal axis). Compared to the model 6711 seed, the Symmetra new seed is more isotropic. The anisotropy constants (the anisotropy function averaged with respect to angle and distance) for the three seed models are within 2%.
Place, publisher, year, edition, pages
2000. Vol. 27, no 5, 1076-1085 p.
dosimetry, radiation therapy, Monte Carlo methods, radioisotopes, iodine, calibration, dosimetry, permanent brachytherapy implant, 125I, Task Group 43, Monte Carlo simulation
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-26768DOI: 10.1118/1.598990Local ID: 11369OAI: oai:DiVA.org:liu-26768DiVA: diva2:247318