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Evaluation of AutoCAL for electronic portal imaging device-based multi-leaf collimator quality assurance.

机译:基于电子门禁成像设备的多叶准直仪质量保证的AutoCAL评估。

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摘要

Modern radiotherapy treatment techniques commonly include multi-leaf collimators (MLCs) to shape the treatment fields and to conform the radiation dose to the target volume. MLCs require accurate and frequent quality assurance (QA) to ensure spatial and temporal accuracy of the leaves in order to allow optimal dose delivery to the patient. In this study, the accuracy and efficacy of AutoCAL, a commercial software for MLC QA, were evaluated. The software was found to be reproducible to within 0.2?mm and to correspond with conventional QA methods (within 1.2 and 0.9?mm of film and water tank measurements, respectively.) Thus, AutoCAL was found to be an accurate and efficient tool for routine MLC QA and calibration.
机译:现代放射疗法治疗技术通常包括多叶准直仪(MLC),以形成治疗区域并使放射剂量与目标体积一致。 MLC需要准确且频繁的质量保证(QA),以确保叶片的空间和时间准确性,以便向患者提供最佳剂量。在这项研究中,评估了用于MLC QA的商业软件AutoCAL的准确性和有效性。发现该软件可重现0.2?mm以内,并与常规QA方法相对应(分别在薄膜和水箱测量中1.2和0.9?mm以内。)因此,发现AutoCAL是常规的准确而有效的工具MLC质量检查和校准。

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