Contact radiotherapy using a 50 kV X-ray system: Evaluation of relative dose distribution with the Monte Carlo code PENELOPE and comparison with measurements
- 作者：Olivier Croce ; olivier.croce@gmail.com ; Sabet Hachem ; Eric Franchisseur ; Serge Marcié ; Jean-Pierre Gé ; rard ; Jean-Marc Bordy
- 关键词：Contact X-ray radiotherapy (CXRT) ; Papillon technique ; Monte Carlo simulation ; PENELOPE ; Rectal cancer
- 刊名：Radiation Physics and Chemistry
- 出版年：2012
- 期刊代码：68_0969806x
- 类别：ph
- 出版时间：June, 2012
- 卷：81
- 期：6
- 页码：609-617
- 文件大小：981 K
摘要
This paper presents a dosimetric study concerning the system named 鈥淧apillon 50鈥?used in the department of radiotherapy of the Centre Antoine-Lacassagne, Nice, France. The machine provides a 50 kVp X-ray beam, currently used to treat rectal cancers. The system can be mounted with various applicators of different diameters or shapes. These applicators can be fixed over the main rod tube of the unit in order to deliver the prescribed absorbed dose into the tumor with an optimal distribution. We have analyzed depth dose curves and dose profiles for the naked tube and for a set of three applicators. Dose measurements were made with an ionization chamber (PTW type 23342) and Gafchromic films (EBT2). We have also compared the measurements with simulations performed using the Monte Carlo code PENELOPE. Simulations were performed with a detailed geometrical description of the experimental setup and with enough statistics. Results of simulations are made in accordance with experimental measurements and provide an accurate evaluation of the dose delivered. The depths of the 50%isodose in water for the various applicators are 4.0, 6.0, 6.6 and 7.1 mm. The Monte Carlo PENELOPE simulations are in accordance with the measurements for a 50 kV X-ray system. Simulations are able to confirm the measurements provided by Gafchromic films or ionization chambers. Results also demonstrate that Monte Carlo simulations could be helpful to validate the future applicators designed for other localizations such as breast or skin cancers. Furthermore, Monte Carlo simulations could be a reliable alternative for a rapid evaluation of the dose delivered by such a system that uses multiple designs of applicators.