University of Pennsylvania.
J Appl Clin Med Phys. 2014 May 8;15(3):4721. doi: 10.1120/jacmp.v15i3.4721.
Treatment planning systems for proton therapy require a CT calibration curve relating Hounsfield units to proton stopping powers. An understanding of the accuracy of this curve, together with its limitations, is of utmost importance because the calibration underpins the calculated dose distribution of every patient preparing to undergo proton therapy, independent of delivery technique. The most common approach to the calibration is the stoichiometric method, which is well-defined and, in principle, straightforward to perform. Nevertheless, care must be taken when implementing it in the clinic in order to avoid introducing proton range uncertainties into treatment plans that are larger than the 3.5% that target margins are typically designed to account for. This work presents a variety of aspects related to the user-specific implementation of the stoichiometric calibration, from both a measurement setup and a data-handling point of view, and evaluates the potential impact of each for treatment planning purposes. We demonstrate that two alternative commercial vendors' tissue phantoms yield consistent results, that variable CT slice thickness is unimportant, and that, for a given cross-sectional size, all phantom data can, with today's state-of-the-art beam hardening-related artifact reduction software, be acquired quickly and easily with a single scan, such that the resulting curve describes the calibration well at different positions across the imaging plane. We also show that one should be cautious of using metals in the calibration procedure and of using a single curve for anatomical sites differing widely in size. Further, we suggest that the quality of the parametric fit to the measurement data can be improved by performing a constrained, weighted linear regression. These observations, based on the 40 separate curves that were calculated, should help the medical physicist at any new proton therapy facility in deciding which considerations are worth particular attention.
用于质子治疗的治疗计划系统需要一个将亨氏单位与质子阻止本领相关联的 CT 校准曲线。了解该曲线的准确性及其局限性至关重要,因为该校准是为了为每个准备接受质子治疗的患者计算剂量分布提供基础,而与输送技术无关。最常见的校准方法是化学计量法,该方法定义明确,并且原则上易于执行。然而,在临床实施时必须小心,以避免将质子射程不确定性引入治疗计划中,这些不确定性比目标边缘通常设计要考虑的 3.5%还要大。这项工作从测量设置和数据处理的角度介绍了与化学计量校准的用户特定实现相关的各种方面,并评估了每种方法对治疗计划的潜在影响。我们证明了两种不同的商业供应商的组织体模产生一致的结果,即可变 CT 切片厚度不重要,并且对于给定的横截面尺寸,所有体模数据都可以使用当今最先进的与束硬化相关的伪影减少软件,通过单次扫描快速轻松地获取,从而使生成的曲线在成像平面的不同位置很好地描述校准。我们还表明,在校准过程中应谨慎使用金属,并且不应使用单个曲线来描述大小差异很大的解剖部位。此外,我们建议通过执行约束的加权线性回归,可以提高对测量数据的参数拟合质量。这些基于 40 个单独计算曲线的观察结果,应该有助于任何新的质子治疗设施中的医学物理学家决定哪些考虑因素值得特别注意。