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直线加速器放射外科的治疗计划优化

Treatment planning optimization for linear accelerator radiosurgery.

作者信息

Meeks S L, Buatti J M, Bova F J, Friedman W A, Mendenhall W M

机构信息

Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, USA.

出版信息

Int J Radiat Oncol Biol Phys. 1998 Apr 1;41(1):183-97. doi: 10.1016/s0360-3016(98)00044-3.

Abstract

PURPOSE

Linear accelerator radiosurgery uses multiple arcs delivered through circular collimators to produce a nominally spherical dose distribution. Production of dose distributions that conform to irregular lesions or conformally avoid critical neural structures requires a detailed understanding of the available treatment planning parameters.

METHODS AND MATERIALS

Treatment planning parameters that may be manipulated within a single isocenter to provide conformal avoidance and dose conformation to ellipsoidal lesions include differential arc weighting and gantry start/stop angles. More irregular lesions require the use of multiple isocenters. Iterative manipulation of treatment planning variables can be difficult and computationally expensive, especially if the effects of these manipulations are not well defined. Effects of treatment parameter manipulation are explained and illustrated. This is followed by description of the University of Florida Stereotactic Radiosurgery Treatment Planning Algorithm. This algorithm organizes the manipulations into a practical approach for radiosurgery treatment planning.

RESULTS

Iterative treatment planning parameters may be efficiently manipulated to achieve optimal treatment plans by following the University of Florida Treatment Planning Algorithm. The ability to produce conformal stereotactic treatment plans using the algorithm is demonstrated for a variety of clinical presentations.

CONCLUSION

The standard dose distribution produced in linear accelerator radiosurgery is spherical, but manipulation of available treatment planning parameters may result in optimal dose conformation. The University of Florida Treatment Planning Algorithm organizes available treatment parameters to efficiently produce conformal radiosurgery treatment plans.

摘要

目的

直线加速器放射外科使用通过圆形准直器递送的多个弧来产生名义上的球形剂量分布。生成符合不规则病变或适形避开关键神经结构的剂量分布需要详细了解可用的治疗计划参数。

方法和材料

可在单个等中心内操作以提供对椭圆形病变的适形避开和剂量适形的治疗计划参数包括差分弧权重和机架起始/停止角度。更不规则的病变需要使用多个等中心。治疗计划变量的迭代操作可能很困难且计算成本高,特别是如果这些操作的效果没有得到很好的定义。解释并说明了治疗参数操作的效果。随后描述了佛罗里达大学立体定向放射外科治疗计划算法。该算法将操作组织成一种实用的放射外科治疗计划方法。

结果

通过遵循佛罗里达大学治疗计划算法,可以有效地操作迭代治疗计划参数以实现最佳治疗计划。该算法用于生成适形立体定向治疗计划的能力在各种临床病例中得到了证明。

结论

直线加速器放射外科产生的标准剂量分布是球形的,但对可用治疗计划参数的操作可能会导致最佳剂量适形。佛罗里达大学治疗计划算法组织可用的治疗参数以有效地生成适形放射外科治疗计划。

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