Strength estimation of a moving 125Iodine source during implantation in brachytherapy: application to linked sources
| Autor: | Koh-ichi Sakata, Jun Takada, Kaori Sato, Masaru Takagi, Kenichi Tanaka, Masakazu Hori, Ken-ichi Kamo, Hiromitsu Takeda, Gerard Bengua, Osamu Asanuma, Masato Hareyama, Kunihiko Tateoka, Satoru Endo |
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| Rok vydání: | 2014 |
| Předmět: |
Materials science
Health Toxicology and Mutagenesis medicine.medical_treatment brachytherapy Brachytherapy Scintillator Iodine Radioisotopes Kerma Optics Interference (communication) medicine Humans 125I source strength Radiology Nuclear Medicine and imaging Radiation business.industry Radiotherapy Planning Computer-Assisted Uncertainty Radiotherapy Dosage Oncology Source strength moving source Scintillation counter Scintillation Counting Coverage factor business Nuclear medicine Intensity (heat transfer) linked source |
| Zdroj: | Journal of Radiation Research |
| ISSN: | 1349-9157 0449-3060 |
| DOI: | 10.1093/jrr/rru058 |
| Popis: | 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 (125)I with air kerma strengths of 8.38-8.63 U (μGy m(2) h(-1)). Measurements were performed with a plastic scintillator (80 mm × 50 mm × 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 ∼15% when using a grid to decrease the interference by the neighboring sources. Without the grid, the CSU (k = 1) was ∼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. |
| Databáze: | OpenAIRE |
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