Nakazawa Hisato, Komori Masataka, Shibamoto Yuta, Tsugawa Takahiko, Mori Yoshimasa, Kobayashi Tatsuya
Department of Radiological Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daikominami, Higashiku, Nagoya, Aichi, 461-8673, Japan,
Acta Neurochir (Wien). 2014 Aug;156(8):1483-9; discussion 1489. doi: 10.1007/s00701-014-2143-4. Epub 2014 Jun 3.
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.
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.
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.
Convolution, heterogeneity correction calculation, and the algorithm are necessary to reduce the dosimetric uncertainty of each case in GK SRS.
基于组织最大比(TMR)算法进行剂量计算的伽玛刀(GK)立体定向放射外科治疗计划(SRS)在预测组织异质性中的剂量方面存在缺点。最新版本的计划软件配备了卷积剂量算法作为可选附加功能,新算法能够补偿头部的不均匀性。然而,这种改进的计算方法的效果需要在临床病例中进行详细验证。在本研究中,我们比较了TMR与卷积计算的听神经瘤治疗计划的绝对和相对剂量分布。
通过卷积方法重新计算了由TMR算法创建的29个临床使用的计划。从绝对剂量(照射时间)、包括靶区覆盖、选择性、适形指数、梯度指数、根治性均匀性指数等剂量学参数以及剂量-体积关系方面评估了TMR与卷积之间的差异。
TMR与卷积之间对靶区估计的绝对剂量差异范围为1%至7%。此外,两种方法的剂量学参数具有统计学意义。然而,通过在监视器上的视觉评估很难看出相对剂量分布的变化。
卷积、不均匀性校正计算以及该算法对于降低GK SRS中每个病例的剂量学不确定性是必要的。