Quality assurance for cancer patient safety: Clinical assessment for precise angles in linac during radiation therapy.

IF 2 4区 医学 Q3 ONCOLOGY
Tumori Pub Date : 2024-10-01 Epub Date: 2024-08-02 DOI:10.1177/03008916241261450
Sana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, Muhammad Adeel Azam, Mamona Aslam, Saima Altaf, Ayesha Ikhlaq, Muhammad Usman Mustafa, Lidia Strigari
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引用次数: 0

Abstract

Purpose: Quality assurance for stereotactic body radiation treatment requires that isocentric verification be ensured during gantry rotation at various angles. This study examined statistical parameters on Winston-Lutz tests to distinguish the deviation of angles from isocenter during gantry rotation using machine learning.

Method: The Varian TrueBeam linac was aligned with the marked lines on the Ruby phantom. Eight images were captured while the gantry was rotating at a 45° shift. The statistical features were derived from IsoCheck EPID software. The decision tree model was applied to these Winston-Lutz tests to cluster data into two groups: precise and error angles.

Results: At 90° and 270° angles, the gantry exhibits isocentric stability compared to other angles. In these angles, the most statistical features were inside the range. Most variations were observed at 0° and 180° angles. In most tests, the angles 45°, 135°, 225°, and 315° showed reasonable performance and with less variation.

Conclusion: The comprehensive statistical analyses for gantry rotation of angles assists expert radiotherapists in determining the contribution of each feature that highly affects gantry movement at specific angles. Misalignment between radiation isocenter and imaging isocenter, tuning of the beam at each angle, or a slight change in the position of the Ruby phantom can further improve the inaccuracy that causes the most variations. Better precision can effectively increase patient safety and quality during cancer treatment.

癌症患者安全的质量保证:在放射治疗过程中对直列加速器的精确角度进行临床评估。
目的:立体定向体放射治疗的质量保证要求在龙门架旋转过程中以不同角度确保等中心验证。本研究利用机器学习方法,对温斯顿-鲁兹测试的统计参数进行了研究,以区分龙门旋转过程中偏离等中心的角度:方法:将瓦里安 TrueBeam 直列加速器与 Ruby 模型上的标记线对齐。在龙门旋转 45° 时拍摄八张图像。统计特征来自 IsoCheck EPID 软件。决策树模型应用于这些温斯顿-鲁兹测试,将数据分为两组:精确角度和误差角度:与其他角度相比,在 90° 和 270° 角度,龙门架表现出等中心稳定性。在这些角度中,大多数统计特征都在范围之内。在 0° 和 180° 角上观察到的变化最多。在大多数测试中,45°、135°、225° 和 315°角表现合理,变化较小:对龙门架旋转角度的综合统计分析有助于放射治疗专家确定在特定角度下对龙门架移动影响较大的每个特征的作用。辐射等中心和成像等中心之间的不对齐、每个角度的光束调整或红宝石模型位置的轻微变化,都能进一步改善造成最大差异的不准确性。更高的精确度可以有效提高癌症治疗过程中的患者安全和质量。
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
Tumori
Tumori 医学-肿瘤学
CiteScore
3.50
自引率
0.00%
发文量
58
审稿时长
6 months
期刊介绍: Tumori Journal covers all aspects of cancer science and clinical practice with a strong focus on prevention, translational medicine and clinically relevant reports. We invite the publication of randomized trials and reports on large, consecutive patient series that investigate the real impact of new techniques, drugs and devices inday-to-day clinical practice.
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