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On the need for tuning the dosimetric leaf gap for stereotactic treatment plans in the Eclipse treatment planning system

机译:在Eclipse治疗计划系统中需要调整立体定向治疗计划的剂量叶间隙

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The dosimetric leaf gap (DLG) and tongue‐and‐groove (T&G) effects are critical aspects in the modeling of multileaf collimators (MLC) in the treatment planning system (TPS). In this study, we investigated the dosimetric impact of limitations associated with the T&G modeling in stereotactic plans and its relationship with the need for tuning the DLG in the Eclipse TPS. Measurements were carried out using Varian TrueBeam STx systems from two different institutions. Test fields presenting MLC patterns with several MLC gap sizes (meanGap) and different amounts of T&G effect (TGi) were first evaluated. Secondly, dynamic conformal arc (DCA) and volumetric modulated arc therapy (VMAT) deliveries of stereotactic cases were analyzed in terms of meanGap and TGi. Two DLG values were used in the TPS: the measured DLG (DLGsubmeas/sub) and an optimal DLG (DLGsubopt/sub). Measured and calculated doses were compared according to dose differences and gamma passing rates (GPR) with strict local gamma criteria of 2%/2?mm. The discrepancies were analyzed for DLGsubmeas/sub and DLGsubopt/sub, and their relationships with both TGi and meanGap were investigated. DCA arcs involved significantly lower TGi and larger meanGap than VMAT arcs ( P ?0.0001). By using DLGsubmeas/sub in the TPS, the dose discrepancies increased as TGi increased and meanGap decreased for both test fields and clinical plans. Dose discrepancies dramatically increased with the ratio TGi/meanGap. Adjusting the DLG value was then required to achieve acceptable calculations and configuring the TPS with DLGsubopt/sub led to an excellent agreement with median GPRs (2%/2?mm) 99% for both institutions. We also showed that DLGsubopt/sub could be obtained from the results of the test fields. We demonstrated that the need for tuning the DLG is due to the limitations of the T&G modeling in the Eclipse TPS. A set of sweeping gap tests modified to incorporate T&G effects can be used to determine the optimal DLG value.
机译:在治疗计划系统(TPS)中对多叶准直器(MLC)进行建模时,剂量叶间隙(DLG)和舌槽(T&G)效应是至关重要的方面。在这项研究中,我们研究了立体定向计划中与T&G建模相关的限制对剂量学的影响,以及与在Eclipse TPS中调整DLG的需求之间的关系。使用来自两个不同机构的Varian TrueBeam STx系统进行了测量。首先评估具有多个MLC间隙大小(meanGap)和不同数量的T&G效应(TGi)的MLC模式的测试区域。其次,根据meanGap和TGi分析了立体定向病例的动态适形弧(DCA)和容积调制弧治疗(VMAT)的效果。 TPS中使用了两个DLG值:测得的DLG(DLG meas )和最佳DLG(DLG opt )。根据剂量差异和伽玛通过率(GPR),以2%/ 2?mm的严格局部伽玛标准比较测量和计算的剂量。分析了DLG meas 和DLG opt 的差异,并研究了它们与TGi和meanGap的关系。与VMAT弧相比,DCA弧的TGi显着降低,而平均间隙更大(P <?0.0001)。通过在TPS中使用DLG meas ,在测试领域和临床计划中,剂量差异均随着TGi的增加和meanGap的降低而增加。剂量差异随着TGi / meanGap之比急剧增加。然后需要调整DLG值以实现可接受的计算,并且使用DLG opt 配置TPS导致两个机构的GPR中位数(2%/ 2?mm)> 99%达成了一个极好的协议。我们还表明,可以从测试字段的结果中获得DLG opt 。我们证明了调整DLG的需要是由于Eclipse TPS中T&G建模的限制。一组经过修改以结合T&G效应的扫宽测试可用于确定最佳DLG值。

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