Jackson Price, McIntosh Lachlan, Hofman Michael S, Kong Grace, Hicks Rodney J
Department of Molecular Imaging & Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.
Med Phys. 2020 Sep;47(9):4332-4339. doi: 10.1002/mp.14243. Epub 2020 Jun 12.
Dosimetry in nuclear medicine often relies on estimating pharmacokinetics based on sparse temporal data. As analysis methods move toward image-based three-dimensional computation, it becomes important to interpolate and extrapolate these data without requiring manual intervention; that is, in a manner that is highly efficient and reproducible. Iterative least-squares solvers are poorly suited to this task because of the computational overhead and potential to optimize to local minima without applying tight constraints at the outset.
This work describes a fully analytical method for solving three-phase exponential time-activity curves based on three measured time points in a manner that may be readily employed by image-based dosimetry tools. The methodology uses a series of conditional statements and a piecewise approach for solving exponential slope directly through measured values in most instances. The proposed algorithm is tested against a purpose-designed iterative fitting technique and linear piecewise method followed by single exponential in a cohort of ten patients receiving Lu-DOTA-Octreotate therapy.
Tri-exponential time-integrated values are shown to be comparable to previously published methods with an average difference between organs when computed at the voxel level of 9.8 ± 14.2% and -3.6 ± 10.4% compared to iterative and interpolated methods, respectively. Of the three methods, the proposed tri-exponential algorithm was most consistent when regional time-integrated activity was evaluated at both voxel- and whole-organ levels. For whole-body SPECT imaging, it is possible to compute 3D time-integrated activity maps in <5 min processing time. Furthermore, the technique is able to predictably and reproducibly handle artefactual measurements due to noise or spatial misalignment over multiple image times.
An efficient, analytical algorithm for solving multiphase exponential pharmacokinetics is reported. The method may be readily incorporated into voxel-dose routines by combining with widely available image registration and radiation transport tools.
核医学中的剂量测定通常依赖于根据稀疏的时间数据估计药代动力学。随着分析方法向基于图像的三维计算发展,在无需人工干预的情况下对这些数据进行插值和外推变得很重要;也就是说,要以高效且可重复的方式进行。迭代最小二乘求解器不太适合这项任务,因为其计算开销大,并且在一开始不施加严格约束的情况下可能会优化到局部最小值。
这项工作描述了一种基于三个测量时间点求解三相指数时间 - 活性曲线的完全解析方法,该方法可被基于图像的剂量测定工具轻松采用。该方法在大多数情况下使用一系列条件语句和分段方法,通过测量值直接求解指数斜率。在一组接受 Lu - DOTA - 奥曲肽治疗的十名患者中,将所提出的算法与专门设计的迭代拟合技术、线性分段方法以及单指数方法进行了对比测试。
三指数时间积分值与先前发表的方法相当,在体素水平计算时,与迭代方法和插值方法相比,器官之间的平均差异分别为 9.8 ± 14.2% 和 -3.6 ± 10.4%。在这三种方法中,当在体素和全器官水平评估区域时间积分活性时,所提出的三指数算法最为一致。对于全身 SPECT 成像,可以在 <5 分钟的处理时间内计算出三维时间积分活性图。此外,该技术能够可预测且可重复地处理由于多个图像时间点的噪声或空间错位导致的伪测量。
报告了一种用于求解多相指数药代动力学的高效解析算法。通过与广泛可用的图像配准和辐射传输工具相结合,该方法可以很容易地纳入体素剂量程序中。