Learning-enhanced hybrid planar-SPECT dosimetry for voxel-level Monte Carlo dose estimation in radionuclide therapy.

IF 3.1 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Zhengkun Dong, Xiao Jin, Xiangxi Meng, Wei Liu, Nan Li, Zhi Yang, Qiushi Ren, Jiangyuan Yu, Zhaoheng Xie
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引用次数: 0

Abstract

Objective.Quantitative imaging-based dosimetry is essential for optimizing [177Lu]Lu-DOTATATE peptide receptor radionuclide therapy, yet full multi-time-point (MTP) SPECT/CT is difficult to implement in routine clinical practice. This study proposes a hybrid planar-SPECT framework for organ-level time-integrated activity (TIA) estimation and single-time-point (STP)-constrained voxel-level Monte Carlo (MC) dose analysis from a single post-therapy SPECT/CT acquisition.Approach.The proposed framework integrates STP SPECT/CT with serial planar imaging to derive organ-level TIAs. A physics-informed support vector regression (SVR) model is incorporated to refine planar-to-SPECT scaling factors and improve the robustness of planar-derived activity quantification. The resulting organ TIAs are used to scale the fixed within-organ STP SPECT pattern and generate voxelized TIA maps as source distributions for MC-based dose calculation. The method is evaluated against reference MTP SPECT/CT data in 11 patients and further applied to a separate cohort of 23 patients to explore vertebral dose heterogeneity and its association with hematologic toxicity.Main results.Hybrid dosimetry showed good agreement with MTP SPECT/CT, with organ-level errors of approximately 10%-15%. The SVR-based refinement modestly reduced scaling bias, particularly in anatomically challenging structures. Voxel-level vertebral dose heterogeneity metrics showed moderate but exploratory correlations with hematologic toxicity (ρ≈ 0.4-0.5) after false-discovery-rate correction, whereas conventional organ-averaged dose metrics showed no significant association.Significance.The proposed hybrid planar-SPECT framework supports clinically feasible organ-level dosimetry from a reduced acquisition protocol. The resulting voxelized maps provide STP-constrained approximate source distributions for MC dose calculation and exploratory characterization of spatial dose heterogeneity, rather than reconstructions of time-varying MTP voxel kinetics. The SVR improvement observed in the 11-patient internal validation remains preliminary, requiring larger cohorts for robustness and external validation for generalizability.

学习增强的平面- spect混合剂量法在放射性核素治疗中的体素水平蒙特卡罗剂量估计。
目的:基于定量成像的剂量测定是优化[177Lu]Lu-DOTATATE肽受体放射性核素治疗(PRRT)的必要条件,但在常规临床实践中难以实现全多时间点(MTP) SPECT/CT。本研究提出了一个混合平面-SPECT框架,用于器官水平TIA估计和stp约束的体素水平蒙特卡罗剂量分析,从单个治疗后SPECT/CT采集。方法:提出的框架将单时间点(STP) SPECT/CT与连续平面成像相结合,以获得器官水平的时间集成活动(TIAs)。采用物理信息支持向量回归(SVR)模型来改进平面到spect的比例因子,并提高平面衍生活动量化的鲁棒性。所得器官TIA用于缩放固定的器官内STP SPECT模式,并生成体素化TIA图作为基于蒙特卡罗(MC)的剂量计算的源分布。该方法与11例患者的参考MTP SPECT/CT数据进行了评估,并进一步应用于23例患者的单独队列,以探索椎体剂量异质性及其与血液毒性的关系。主要结果:混合剂量法显示与MTP SPECT/CT吻合良好,器官水平误差约为10-15%。基于svr的改进适度地减少了缩放偏差,特别是在具有解剖学挑战性的结构中。假发现率校正后,体素水平椎体剂量异质性指标显示与血液学毒性(ρ≈0.4-0.5)存在中度但探索性的相关性,而常规器官平均剂量指标显示无显著相关性。意义:提出的混合平面- spect框架支持临床可行的器官水平剂量测定,减少了采集方案。所得到的体素化图提供了stp约束下的近似源分布,用于MC剂量计算和空间剂量异质性的探索性表征,而不是重建时变的MTP体素动力学。在11例患者的内部验证中观察到的SVR改善仍然是初步的,需要更大的队列来获得稳健性,并需要外部验证来获得普遍性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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