Urszula Jelen, Zoë Moutrie, Jack D Aylward, Michael G Jameson
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引用次数: 0
摘要
目的:本工作的目的是报告使用商业独立剂量验证软件RadCalc version 7.2 (Lifeline software Inc ., Tyler, TX, USA)对束流模型进行优化、调试和验证,以及在Elekta Unity mr - linear (MRL)上使用RadCalc进行离线和在线监测单元(MU)验证的4年经验,用于一系列临床站点。方法:系统地检查和优化了计算设置和模型参数,包括克拉克森积分设置和辐射/光场偏移,并研究和解决了密度非均匀性校正和离轴计算中存在的缺陷。通过将RadCalc计算与各种情况下的测量结果进行比较,得出了最终的模型,这些情况是根据相关建议选择的,从水箱中的简单场到拟人化幻影中的端到端点剂量测量。结果:简单几何图形的一致性在2%以内,复杂几何图形的一致性在5%以内。在对Monaco (Elekta AB, Stockholm, Sweden)治疗计划系统(TPS)的39个临床调试计划进行验证时,平均总点剂量差为-0.3±0.8%(-2.0%-1.1%)。最后,当回顾性应用于4085个临床计划计算时,与TPS的一致性为0.3±1.1%(-4.8%-4.2%),总点剂量的失败率为0.1%(差异>为4%),个别领域的失败率为0.3%(差异>为10%)。结论:改进了与TPS的计算一致性,从而增加了对在线QA的信心,为MRL项目中自动化和物理光无关的MU验证工作流程开辟了道路。
Beam model development and clinical experience with RadCalc for treatment plan quality assurance in online adaptive workflow with an MR-linac.
Purpose: The aim of this work was to report on the optimization, commissioning, and validation of a beam model using a commercial independent dose verification software RadCalc version 7.2 (Lifeline Software Inc, Tyler, TX, USA), along with 4 years of experience employing RadCalc for offline and online monitor unit (MU) verification on the Elekta Unity MR-linac (MRL) for a range of clinical sites.
Methods: Calculation settings and model parameters, including the Clarkson integration settings and radiation/light field offset, have been systematically examined and optimized, and pitfalls in the use of density inhomogeneity corrections and in off-axis calculations were investigated and addressed. The resulting model was commissioned by comparing RadCalc calculations to measurements for a variety of cases, selected following relevant recommendations, ranging from simple fields in a water tank to end-to-end point dose measurements in an anthropomorphic phantom.
Results: For simple geometries, the agreement was within 2%, and for complex geometries, within 5%. When validating against the Monaco (Elekta AB, Stockholm, Sweden) treatment planning system (TPS), for 39 clinical commissioning plans, the mean total point dose difference was -0.3 ± 0.8% (-2.0%-1.1%). Finally, when applied retrospectively to 4085 clinical plan calculations, the agreement with the TPS was 0.3 ± 1.1% (-4.8%-4.2%), with fail rates of 0.1% for total point dose (discrepancy > 4%) and 0.3% for individual fields (discrepancy > 10%).
Conclusions: Improved calculation agreement with the TPS and therefore increased confidence in the online QA, opened the way for an automated and physics-light independent MU verification workflow within our MRL program.
期刊介绍:
Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission.
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