OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Germany; Massachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Boston, MA, USA.
Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Radiother Oncol. 2023 Jul;184:109675. doi: 10.1016/j.radonc.2023.109675. Epub 2023 Apr 19.
Studies have shown large variations in stopping-power ratio (SPR) prediction from computed tomography (CT) across European proton centres. To standardise this process, a step-by-step guide on specifying a Hounsfield look-up table (HLUT) is presented here.
The HLUT specification process is divided into six steps: Phantom setup, CT acquisition, CT number extraction, SPR determination, HLUT specification, and HLUT validation. Appropriate CT phantoms have a head- and body-sized part, with tissue-equivalent inserts in regard to X-ray and proton interactions. CT numbers are extracted from a region-of-interest covering the inner 70% of each insert in-plane and several axial CT slices in scan direction. For optimal HLUT specification, the SPR of phantom inserts is measured in a proton beam and the SPR of tabulated human tissues is computed stoichiometrically at 100 MeV. Including both phantom inserts and tabulated human tissues increases HLUT stability. Piecewise linear regressions are performed between CT numbers and SPRs for four tissue groups (lung, adipose, soft tissue, and bone) and then connected with straight lines. Finally, a thorough but simple validation is performed.
The best practices and individual challenges are explained comprehensively for each step. A well-defined strategy for specifying the connection points between the individual line segments of the HLUT is presented. The guide was tested exemplarily on three CT scanners from different vendors, proving its feasibility.
The presented step-by-step guide for CT-based HLUT specification with recommendations and examples can contribute to reduce inter-centre variations in SPR prediction.
研究表明,欧洲质子中心的 CT 停滯比 (SPR) 预测存在较大差异。为了标准化这一过程,本文提出了一种逐步指导,用于指定亨氏查找表 (HLUT)。
HLUT 规范过程分为六个步骤:体模设置、CT 采集、CT 数提取、SPR 确定、HLUT 规范和 HLUT 验证。合适的 CT 体模具有头部和身体大小的部分,并具有与 X 射线和质子相互作用等效的组织插入物。CT 数从覆盖每个插入物内 70%的感兴趣区域中提取,并在扫描方向上提取几个轴向 CT 切片。为了实现最佳的 HLUT 规范,需要在质子束中测量体模插入物的 SPR,并在 100 MeV 处通过化学计量法计算表列人体组织的 SPR。包括体模插入物和表列人体组织可以提高 HLUT 的稳定性。对于四个组织组(肺、脂肪、软组织和骨骼),在 CT 数和 SPR 之间进行分段线性回归,然后用直线连接。最后,进行了彻底但简单的验证。
全面解释了每个步骤的最佳实践和个体挑战。提出了一种定义良好的策略,用于指定 HLUT 各线段之间的连接点。该指南在来自不同供应商的三台 CT 扫描仪上进行了示例测试,证明了其可行性。
本文提出的基于 CT 的 HLUT 规范的分步指南,包括建议和示例,可以有助于减少 SPR 预测的中心间差异。