St John Theodore J, Wagner Thomas H, Bova Francis J, Friedman William A, Meeks Sanford L
Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Phys Med Biol. 2005 Jul 21;50(14):3263-76. doi: 10.1088/0031-9155/50/14/005. Epub 2005 Jun 28.
Conventional methods of inverse planning for intensity-modulated radiotherapy (IMRT) and intensity-modulated radiosurgery (IMRS) are generally based upon optimizing a set of beam fluence profiles according to a set of dose-volume constraints specified by a human planner. This optimization is generally carried out through an iterative approach that relies upon the optimization of a score, driving the plan's ability to satisfy the user-provided constraints. Following optimization of the fluence distribution, the non-trivial problem of converting the fluence distribution into a set of deliverable, intensity-modulated beams must be solved. A novel approach to solving this IMRS total inverse problem is presented in this paper. The proposed method uses a class solution that provides an optimized dose gradient and a method of designing a conformal plan based on an existing geometrically based optimization algorithm. After developing an optimal fluence distribution, the process then arranges the fluence into a set of simple and efficient MLC beam delivery sequences. The algorithm presented here offers several potential advantages for the application of intensity modulation to radiosurgery treatment planning. The geometrically based optimization process' simplicity requires far less human user input and decision making in the specification of dose and dose-volume constraints than do conventional inverse planning algorithms. This simplicity allows the optimization process to be completed much faster than conventional inverse-planning algorithms, literally seconds compared with at least several minutes. Likewise, the fluence conversion step is a simplified process (compared to conventional IMRT planning), which takes advantage of some simplifications uniquely appropriate to the problem at hand (IMRS). The converted, deliverable IMRS beams allow superior conformity and dose gradient relative to conventional IMRS planning or 3DCRT radiosurgery planning. Another benefit is that the number of beam intensity levels is greatly reduced, from hundreds to as few as a half-dozen intensity levels. Finally, since the treatment plan optimization process is based upon proven principles applicable to optimizing radiosurgery (rather than the general problem of optimizing fractionated radiotherapy plans), the plans generated and deliverable with this method of IMRS are potentially superior to those produced by conventional inverse-planning methods of IMRT/IMRS.
强度调制放射治疗(IMRT)和强度调制放射外科(IMRS)的传统逆向计划方法通常基于根据人类计划者指定的一组剂量体积约束来优化一组射束注量分布。这种优化通常通过迭代方法来进行,该方法依赖于对一个分数的优化,以推动计划满足用户提供的约束的能力。在注量分布优化之后,必须解决将注量分布转换为一组可交付的强度调制射束这一重要问题。本文提出了一种解决此IMRS完全逆向问题的新方法。所提出的方法使用一种类解决方案,该方案提供优化的剂量梯度以及基于现有的基于几何的优化算法设计适形计划的方法。在生成最优注量分布之后,该过程然后将注量排列成一组简单且高效的多叶准直器(MLC)射束输送序列。这里提出的算法在将强度调制应用于放射外科治疗计划方面具有几个潜在优势。基于几何的优化过程的简单性在剂量和剂量体积约束的指定方面比传统逆向计划算法需要少得多的人工用户输入和决策。这种简单性使得优化过程比传统逆向计划算法完成得快得多,传统算法至少需要几分钟,而这里只需几秒钟。同样,注量转换步骤是一个简化过程(与传统IMRT计划相比),它利用了一些特别适合手头问题(IMRS)的简化。相对于传统IMRS计划或三维适形放疗(3DCRT)放射外科计划,转换后的可交付IMRS射束具有更好的适形性和剂量梯度。另一个好处是射束强度水平的数量大大减少,从数百个减少到少至六个强度水平。最后,由于治疗计划优化过程基于适用于优化放射外科的经过验证的原则(而不是优化分次放射治疗计划的一般问题),用这种IMRS方法生成并可交付的计划可能优于通过传统IMRT/IMRS逆向计划方法产生的计划。