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首页> 外文期刊>Clinical & translational oncology : >Uncertainties and CTV to PTV margins quantitative assessment using cone-beam CT technique in clinical application for prostate, and head and neck irradiation tumours.
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Uncertainties and CTV to PTV margins quantitative assessment using cone-beam CT technique in clinical application for prostate, and head and neck irradiation tumours.

机译:不确定度和CTV到PTV的余量定量评估使用锥束CT技术在前列腺癌和头颈部照射肿瘤的临床应用中。

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摘要

PURPOSE To evaluate the magnitude of systematic and random errors from a subset of 100 prostate and 26 head and neck (H&N) cancer patients treated with conventional conformal radiotherapy and using image-guided radiotherapy (IGRT). After treatment, the uncertainties involved and the CTV to PTV margin were evaluated. MATERIAL AND METHODS An Elekta Synergy(R) linear accelerator was used, taking advantage of 3D on-board computed tomography. IGRT with no-action level (NAL) protocol was applied, reporting the 3D translation and rotation corrections. A statistical study was performed to analyse systematic, random and interobserver uncertainties, and, finally, to obtain the CTV to PTV margins. RESULTS The H&N patients' uncertainties found were smaller than those of prostate patients. The CTV to PTV margins assessed, following the guidelines found in the literature, in the three dimensions of space (right-left, superior-inferior, anterior-posterior) were (5.3, 3.5, 3.2) mm for H&N and (7.3, 7.0, 9.0) mm for prostate cancer treatments. CONCLUSIONS It was found that assessing all the involved uncertainties within radiation treatments was very revealing; their quality improves using IGRT techniques and performing extensive data analysis.
机译:目的评估100例前列腺癌患者和26例头颈部(H&N)癌症患者的系统性和随机性错误的程度,这些患者接受常规保形放疗并使用图像引导放疗(IGRT)。治疗后,评估涉及的不确定性以及CTV至PTV的余量。材料和方法使用Elekta Synergy(R)线性加速器,充分利用3D机载计算机断层扫描技术。 IGRT采用无动作水平(NAL)协议,报告了3D平移和旋转校正。进行了统计研究,以分析系统性,随机性和观察者间的不确定性,并最终获得CTV到PTV的余量。结果发现H&N患者的不确定性小于前列腺患者。按照文献中的指导原则,从CTV到PTV的边距,在空间的三个维度(右,左,上下,前后)中,H&N分别为(5.3、3.5、3.2)mm和(7.3、7.0) 9.0)mm用于前列腺癌治疗。结论发现评估放射治疗中所有涉及的不确定性非常有启发性。使用IGRT技术并进行广泛的数据分析可提高其质量。

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