Peters Steffie M B, Meyer Viol Sebastiaan L, van der Werf Niels R, de Jong Nick, van Velden Floris H P, Meeuwis Antoi, Konijnenberg Mark W, Gotthardt Martin, de Jong Hugo W A M, Segbers Marcel
Department of Radiology and Nuclear Medicine, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands.
Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
EJNMMI Phys. 2020 Feb 11;7(1):9. doi: 10.1186/s40658-020-0278-3.
Quantitative SPECT imaging in targeted radionuclide therapy with lutetium-177 holds great potential for individualized treatment based on dose assessment. The establishment of dose-effect relations requires a standardized method for SPECT quantification. The purpose of this multi-center study is to evaluate quantitative accuracy and inter-system variations of different SPECT/CT systems with corresponding commercially available quantitative reconstruction algorithms. This is an important step towards a vendor-independent standard for quantitative lutetium-177 SPECT.
Four state-of-the-art SPECT/CT systems were included: Discovery™ NM/CT 670Pro (GE Healthcare), Symbia Intevo™, and two Symbia™ T16 (Siemens Healthineers). Quantitative accuracy and inter-system variations were evaluated by repeatedly scanning a cylindrical phantom with 6 spherical inserts (0.5 - 113 ml). A sphere-to-background activity concentration ratio of 10:1 was used. Acquisition settings were standardized: medium energy collimator, body contour trajectory, photon energy window of 208 keV (± 10%), adjacent 20% lower scatter window, 2 × 64 projections, 128 × 128 matrix size, and 40 s projection time. Reconstructions were performed using GE Evolution with Q.Metrix™, Siemens xSPECT Quant™, Siemens Broad Quantification™ or Siemens Flash3D™ algorithms using vendor recommended settings. In addition, projection data were reconstructed using Hermes SUV SPECT™ with standardized reconstruction settings to obtain a vendor-neutral quantitative reconstruction for all systems. Volumes of interest (VOI) for the spheres were obtained by applying a 50% threshold of the sphere maximum voxel value corrected for background activity. For each sphere, the mean and maximum recovery coefficient (RC and RC) of three repeated measurements was calculated, defined as the imaged activity concentration divided by the actual activity concentration. Inter-system variations were defined as the range of RC over all systems.
RC decreased with decreasing sphere volume. Inter-system variations with vendor-specific reconstructions were between 0.06 and 0.41 for RC depending on sphere size (maximum 118% quantification difference), and improved to 0.02-0.19 with vendor-neutral reconstructions (maximum 38% quantification difference).
This study shows that eliminating sources of possible variation drastically reduces inter-system variation in quantification. This means that absolute SPECT quantification for Lu is feasible in a multi-center and multi-vendor setting; however, close agreement between vendors and sites is key for multi-center dosimetry and quantitative biomarker studies.
在使用镥 - 177进行的靶向放射性核素治疗中,定量单光子发射计算机断层显像(SPECT)成像在基于剂量评估的个体化治疗方面具有巨大潜力。建立剂量 - 效应关系需要一种标准化的SPECT定量方法。这项多中心研究的目的是评估不同SPECT/CT系统以及相应市售定量重建算法的定量准确性和系统间差异。这是朝着独立于供应商的镥 - 177定量SPECT标准迈出的重要一步。
纳入了四台最先进的SPECT/CT系统:Discovery™ NM/CT 670Pro(通用电气医疗集团)、Symbia Intevo™以及两台Symbia™ T16(西门子医疗)。通过对带有6个球形插入物(0.5 - 113毫升)的圆柱形体模进行重复扫描来评估定量准确性和系统间差异。使用球体与背景活度浓度比为10:1。采集设置标准化:中能准直器、身体轮廓轨迹、208 keV(±10%)的光子能量窗、相邻的低20%散射窗、2×64投影、128×128矩阵大小以及40秒投影时间。使用GE Evolution与Q.Metrix™、西门子xSPECT Quant™、西门子Broad Quantification™或西门子Flash3D™算法并按照供应商推荐设置进行重建。此外,使用Hermes SUV SPECT™并采用标准化重建设置对投影数据进行重建,以获得所有系统的独立于供应商的定量重建。通过应用针对背景活度校正后的球体最大体素值的50%阈值来获取球体的感兴趣体积(VOI)。对于每个球体,计算三次重复测量的平均和最大恢复系数(RC和RC),定义为成像活度浓度除以实际活度浓度。系统间差异定义为所有系统中RC的范围。
RC随着球体体积减小而降低。对于RC,使用特定供应商重建时系统间差异在0.06至0.41之间,具体取决于球体大小(最大定量差异为118%),而使用独立于供应商的重建时差异改善至0.02 - 0.19(最大定量差异为38%)。
本研究表明,消除可能的变异来源可大幅降低定量中的系统间差异。这意味着在多中心和多供应商环境中对镥进行绝对SPECT定量是可行的;然而,供应商和站点之间的密切一致性是多中心剂量测定和定量生物标志物研究的关键。