首页> 外文期刊>Acta Neurochirurgica >Dosimetric comparison of absolute and relative dose distributions between tissue maximum ratio and convolution algorithms for acoustic neurinoma plans in Gamma Knife radiosurgery
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Dosimetric comparison of absolute and relative dose distributions between tissue maximum ratio and convolution algorithms for acoustic neurinoma plans in Gamma Knife radiosurgery

机译:伽玛刀放射外科中神经性神经瘤计划的组织最大比率与卷积算法之间绝对和相对剂量分布的剂量学比较

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Background: The treatment planning for Gamma Knife (GK) stereotactic radiosurgery (SRS) that performs dose calculations based on tissue maximum ratio (TMR) algorithm has disadvantages in predicting dose in tissue heterogeneity. The latest version of the planning software is equipped with a convolution dose algorithm as an optional extra and the new algorithm is able to compensate for head inhomogeneity. However, the effect of this improved calculation method requires detailed validation in clinical cases. In this study, we compared absolute and relative dose distributions of treatment plans for acoustic neurinoma between TMR and the convolution calculation. Methods: Twenty-nine clinically used plans created by TMR algorithm were recalculated by convolution method. Differences between TMR and convolution were evaluated in terms of absolute dose (beam-on time), dosimetric parameters including target coverage, selectivity, conformity index, gradient index, radical homogeneity index and the dose-volume relationship. Results: The discrepancy in estimated absolute dose to the target ranged from 1 to 7 % between TMR and convolution. In addition, dosimetric parameters of the two methods achieved statistical significance. However, it was difficult to see the change of relative dose distribution by visual assessment on a monitor. Conclusions: Convolution, heterogeneity correction calculation, and the algorithm are necessary to reduce the dosimetric uncertainty of each case in GK SRS.
机译:背景:基于组织最大比率(TMR)算法进行剂量计算的伽玛刀(GK)立体定向放射外科手术(SRS)的治疗计划在预测组织异质性剂量方面存在缺点。最新版本的计划软件配备了卷积剂量算法作为可选的附加功能,新算法能够补偿磁头不均匀性。但是,这种改进的计算方法的效果需要在临床案例中进行详细验证。在这项研究中,我们比较了TMR和卷积计算之间的声音神经瘤治疗计划的绝对剂量和相对剂量分布。方法:采用卷积法重新计算出29种由TMR算法创建的临床使用计划。根据绝对剂量(光束开启时间),剂量参数(包括靶标覆盖率,选择性,一致性指数,梯度指数,自由基均一性指数和剂量-体积关系)评估了TMR与卷积之间的差异。结果:TMR和卷积之间的估计绝对剂量与目标的差异为1%至7%。另外,两种方法的剂量参数均具有统计学意义。然而,通过监视器上的视觉评估很难看到相对剂量分布的变化。结论:卷积,异质校正计算和算法对于减少GK SRS中每种情况的剂量学不确定性都是必要的。

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