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Assessing the correlation between Gamma passing rate and clinical dosimetric variations in breast cancer IMRT plans with multi-leaf collimator errors: perspectives from the ArcCHECK QA system. 评估具有多叶准直仪误差的乳腺癌 IMRT 计划中伽马通过率与临床剂量学变化之间的相关性:ArcCHECK QA 系统的观点。
IF 1.5 4区 环境科学与生态学 Q3 BIOLOGY Pub Date : 2024-11-14 DOI: 10.1007/s00411-024-01097-w
Xiuquan Li, Jia Deng, Xiangyang Wu, Hang Yang, Dengdian Huang

This study aimed to comprehensively investigate the influence of multi-leaf collimator (MLC) position errors on both the clinical absolute dose distribution and Gamma passing rate (%GP) in intensity-modulated radiation therapy (IMRT) plans for breast cancer. Additionally, the correlation between %GP and the clinical absolute dose relative difference (%DE) caused by MLC position errors was analysed. Ten IMRT plans for breast cancer were randomly selected. Systematic and random MLC position errors were introduced into DICOM files representing the investigated treatment plans by modifying the plan files and adjusting the MLC positions. Systematic errors were categorized as MLC opening errors, closing errors, and shift errors. The %DE in the tumour planning target volume (PTV) and organs at risk (OARs) caused by MLC errors were statistically analyzed using dose-volume histogram (DVH) analysis. The ArcCHECK quality assurance (QA) system was used to detect the %GP differences between baseline plans and plans with MLC errors. The correlation between %GP and %DE was obtained using linear regression methods. The results of this study indicate that MLC opening and closing errors have a significant impact on %DE and %GP in IMRT plans for breast cancer. Opening and closing errors can be detected at a gamma level of 3%/2 mm, if error values are greater than or equal to 0.5 mm, and %GP can predict DVH dosimetric changes caused by MLC opening and closing errors. It is concluded that DVH-based verification of IMRT plans can serve as an adjunct method to Gamma analysis to improve QA accuracy for breast cancer cases. Additionally, it is concluded that greater attention should be given to MLC leaf opening and closing errors in clinical practice.

本研究旨在全面研究多叶准直仪(MLC)位置误差对乳腺癌调强放射治疗(IMRT)计划中临床绝对剂量分布和伽马通过率(%GP)的影响。此外,还分析了 GP%与 MLC 位置误差导致的临床绝对剂量相对差(%DE)之间的相关性。随机抽取了 10 个乳腺癌 IMRT 方案。通过修改计划文件和调整 MLC 位置,将系统性和随机 MLC 位置误差引入代表所调查治疗计划的 DICOM 文件中。系统误差分为 MLC 打开误差、关闭误差和移动误差。使用剂量-容积直方图(DVH)分析法对 MLC 错误导致的肿瘤计划目标容积(PTV)和危险器官(OAR)的 %DE 进行了统计分析。ArcCHECK 质量保证(QA)系统用于检测基线计划与存在 MLC 误差的计划之间的 GP%差异。使用线性回归方法获得了 %GP 和 %DE 之间的相关性。研究结果表明,MLC 打开和关闭误差对乳腺癌 IMRT 计划的 %DE 和 %GP 有显著影响。如果误差值大于或等于 0.5 毫米,则可以在 3%/2 毫米的伽马水平上检测到开合误差,而 %GP 可以预测 MLC 开合误差引起的 DVH 剂量学变化。结论是基于 DVH 的 IMRT 计划验证可作为伽玛分析的辅助方法,以提高乳腺癌病例的质量保证准确性。此外,该研究还得出结论,在临床实践中应更加关注 MLC 片开合误差。
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引用次数: 0
Lung cancer mortality attributable to residential radon in Germany. 德国可归因于住宅氡的肺癌死亡率。
IF 1.5 4区 环境科学与生态学 Q3 BIOLOGY Pub Date : 2024-11-13 DOI: 10.1007/s00411-024-01095-y
Felix Heinzl, Maria Schnelzer, Peter Scholz-Kreisel

The radioactive gas radon is one of the most important risk factors for lung cancer after smoking. This article aims to estimate the annual number of lung cancer deaths attributable to residential radon exposure in Germany and its federal states using updated data and an advanced calculation method. Data on lung cancer mortality (2018-2022), smoking behavior (2017), and on the estimated distribution of radon concentration based on a radon residential study (2019-2021) in Germany are used. The risk model employed is derived from the pooled European residential radon study, indicating that excess relative risk for lung cancer increases by 16% per 100 becquerels per cubic meter (Bq/m 3 ) of corrected long-term radon concentration. It is estimated that a total of around 2800 lung cancer deaths per year (95% confidence interval (CI) 900-5100) are attributable to residential radon in Germany. This represents a population attributable fraction of 6.3% (95% CI 2.1-11.4%). Notably, radon-attributable lung cancer deaths occur not only among current (41%) but also significantly among former smokers (41%) and those who have never smoked (19%). The results confirm that radon in homes is an important risk factor for lung cancer, highlighting the need for protective measures against radon for all population groups in Germany.

放射性气体氡是继吸烟之后导致肺癌的最重要风险因素之一。本文旨在利用最新数据和先进的计算方法,估算德国及其联邦各州每年因住宅氡暴露而导致的肺癌死亡人数。文章采用了德国肺癌死亡率数据(2018-2022 年)、吸烟行为数据(2017 年)以及基于氡住宅研究的氡浓度估计分布数据(2019-2021 年)。所采用的风险模型来自欧洲住宅氡研究的汇总结果,表明肺癌的超额相对风险每 100 贝克/立方米(Bq/m 3 )的校正长期氡浓度增加 16%。据估计,德国每年约有 2800 例肺癌死亡(95% 置信区间 (CI) 900-5100)可归因于住宅氡。这意味着人口可归因于氡的比例为 6.3%(95% 置信区间为 2.1-11.4%)。值得注意的是,可归因于氡的肺癌死亡不仅发生在当前吸烟者(41%)中,而且在曾经吸烟者(41%)和从未吸烟者(19%)中也有显著发生。研究结果证实,家庭中的氡是导致肺癌的一个重要风险因素,这突出表明有必要对德国所有人群采取防氡措施。
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Radiation and Environmental Biophysics
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