Wu Q, Mohan R
Department of Radiation Oncology, Medical College of Virginia, Virginia Commonwealth University and McGuire VA Hospital, Richmond 23298-0058, USA.
Med Phys. 2000 Apr;27(4):701-11. doi: 10.1118/1.598932.
The main purpose of this paper is to describe formalisms, algorithms, and certain unique features of a system for optimization of intensity modulated radiotherapy (IMRT). The system is coupled to a commercial treatment planning system with an accurate dose calculation engine based on the kernel superposition algorithm. The system was designed for use for research as well as for routine clinical practice. It employs dose- and dose-volume-based objective functions. The system can optimize IMRT plans with multiple target volumes simultaneously. Each target volume may be assigned a different prescription dose with constraints on either underdosing, or overdosing, or both. For organs at risk more than one constraint may be applied. This feature allows simultaneous treatment of primary, regional disease and electively treated nodes. The system allows specification of constraints on logical combinations of anatomic structures, such as a region of overlap between the prostate planning target volume and rectum or the volume of lung excluding the tumor. The optimization may also be performed on plans which, in addition to intensity-modulated beams, include other modalities such as non-IMRT photon and electron beams and brachytherapy sources. The various features of the system are illustrated with one phantom example and two clinical examples: a brain stereotactic radiosurgery case and a nasopharynx case. In the cylindrical phantom example, the use of the system for overlap regions is demonstrated. The brain stereotactic radiosurgery example shows the improvement of IMRT plans over the conventional arcs based plan and the three-dimensional conformal plan with multiple fixed gantry angles and demonstrates the application of our system to cases where small grid sizes are important. The nasopharynx example shows the potential of IMRT to simultaneously treat large and boost fields. It also illustrates the power of IMRT to protect normal anatomic structures for highly complex situations and the efficiency in planning and delivery achievable with IMRT. The overall IMRT planning time is typically less than 2 h on a Sun Ultrasparc workstation, most of which is spent in repeated computation of dose distributions.
本文的主要目的是描述一种调强放射治疗(IMRT)优化系统的形式体系、算法及某些独特特性。该系统与一个基于核叠加算法的精确剂量计算引擎的商业治疗计划系统相耦合。该系统设计用于研究以及常规临床实践。它采用基于剂量和剂量体积的目标函数。该系统可同时优化具有多个靶区体积的IMRT计划。每个靶区体积可被赋予不同的处方剂量,并对剂量不足、剂量过量或两者施加限制。对于危及器官,可应用多个限制条件。此特性允许同时治疗原发性、区域性疾病以及选择性治疗的淋巴结。该系统允许对解剖结构的逻辑组合指定限制条件,例如前列腺计划靶区与直肠之间的重叠区域或不包括肿瘤的肺体积。优化也可针对除调强射束外还包括其他模式(如非IMRT光子束、电子束和近距离放射治疗源)的计划进行。通过一个体模示例和两个临床示例(一个脑部立体定向放射外科病例和一个鼻咽癌病例)来说明该系统的各种特性。在圆柱形体模示例中,展示了该系统在重叠区域的应用。脑部立体定向放射外科示例显示了IMRT计划相对于基于传统弧形的计划以及具有多个固定机架角度的三维适形计划的改进,并展示了我们的系统在小网格尺寸很重要的情况下的应用。鼻咽癌示例显示了IMRT同时治疗大野和加量野的潜力。它还说明了IMRT在高度复杂情况下保护正常解剖结构的能力以及IMRT在计划和实施方面可实现的效率。在Sun Ultrasparc工作站上,整体IMRT计划时间通常少于2小时,其中大部分时间花费在剂量分布的重复计算上。