The Design of an Audit Test for 60Co Brachytherapy Treatment Planning System.

IF 1.1 Q4 ENGINEERING, BIOMEDICAL
Journal of Medical Signals & Sensors Pub Date : 2022-05-12 eCollection Date: 2022-04-01 DOI:10.4103/jmss.JMSS_47_19
Mohammad Javad Tahmasebi Birgani, Hadis Khorshidsavar, Ali Bagheri, Amir Danyaei, Neda Abdalvand
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引用次数: 1

Abstract

Background: Auditing the treatment planning system (TPS) software for a radiotherapy unit is of paramount importance in any radiation therapy department. A Plexiglas phantom was proposed to measure the ionization of 60Co high dose rate (HDR) source and compare dose points in the planning system for auditing and verifying TPS.

Methods: Auditing was performed using a Plexiglas phantom in an end-to-end test, and relative dose points were detected by a farmer-type ionization chamber and compared with the relative dose of similar points in TPS. The audit results were determined as pass optimal level (<3.3%), pass action level (between 3.3% and 5%), and out of tolerance (>5%).

Results: The comparison of the collected data revealed that 80% of the measured values were ≤5% in the pass level, and 20% of the points were out of tolerance (between 5% and 6.99%).

Conclusion: This study documented the appropriateness of the dosimetry audit test and this phantom design for the HDR brachytherapy TPS.

Abstract Image

Abstract Image

60Co近距离放射治疗计划系统审计测试的设计。
背景:对放射治疗单位的治疗计划系统(TPS)软件进行审核是任何放射治疗部门至关重要的工作。提出了一种有机玻璃模体,用于测量60Co高剂量率(HDR)源的电离度,并比较计划系统中的剂量点,用于审计和验证TPS。方法:端到端实验采用有机玻璃模体进行听析,农民式电离室检测相对剂量点,并与TPS中相似点的相对剂量进行比较。审核结果确定为通过最优水平(5%)。结果:对采集到的数据进行比较,80%的测量值在合格水平≤5%,20%的点超出公差范围(在5% ~ 6.99%之间)。结论:本研究证明了HDR近距离放疗TPS的剂量学审计试验和模体设计的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Medical Signals & Sensors
Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-
CiteScore
2.30
自引率
0.00%
发文量
53
审稿时长
33 weeks
期刊介绍: JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.
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