Strength estimation of a moving 125Iodine source during implantation in brachytherapy: application to linked sources

被引:1
作者
Tanaka, Kenichi [1 ]
Endo, Satoru [2 ]
Tateoka, Kunihiko [1 ]
Asanuma, Osamu [3 ]
Hori, Masakazu [1 ]
Takagi, Masaru [4 ]
Bengua, Gerard [5 ]
Kamo, Ken-ichi [1 ]
Sato, Kaori [3 ]
Takeda, Hiromitsu [3 ]
Hareyama, Masato [6 ]
Sakata, Koh-ichi [1 ]
Takada, Jun [1 ]
机构
[1] Sapporo Med Univ, Grad Sch, Dept Med, Sapporo, Hokkaido 0608543, Japan
[2] Hiroshima Univ, Grad Sch Engn, Hiroshima 7398527, Japan
[3] Sapporo Med Univ Hosp, Div Radiol & Nucl Med, Sapporo, Hokkaido 0608556, Japan
[4] Hyogo Ion Beam Med Ctr, Tatsuno, Hyogo 6795165, Japan
[5] Auckland City Hosp, Auckland 1142, New Zealand
[6] Teishin Kai Radiat Therapy Inst, Sapporo, Hokkaido 0070844, Japan
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
brachytherapy; I-125; source strength; moving source; linked source; MONTE-CARLO; DOSIMETRY; SEED; QUALITY;
D O I
10.1093/jrr/rru058
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study sought to demonstrate the feasibility of estimating the source strength during implantation in brachytherapy. The requirement for measuring the strengths of the linked sources was investigated. The utilized sources were I-125 with air kerma strengths of 8.38-8.63 U (mu Gy m(2) h(-1)). Measurements were performed with a plastic scintillator (80 mm x 50 mm x 20 mm in thickness). For a source-to-source distance of 10.5 mm and at source speeds of up to 200 mm s(-1), a counting time of 10 ms and a detector-to-needle distance of 5 mm were found to be the appropriate measurement conditions. The combined standard uncertainty (CSU) with the coverage factor of 1 (k = 1) was similar to 15% when using a grid to decrease the interference by the neighboring sources. Without the grid, the CSU (k = 1) was similar to 5%, and an 8% overestimation due to the neighboring sources was found to potentially cause additional uncertainty. In order to improve the accuracy in estimating source strength, it is recommended that the measurment conditions should be optimized by considering the tradeoff between the overestimation due to the neighboring sources and the intensity of the measured value, which influences the random error.
引用
收藏
页码:1146 / 1152
页数:7
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