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通过校正组织中的放射性示踪剂清除率来改善定量分析。

Improving quantification by correcting for radiotracer clearance in tissue.

作者信息

Honhar Praveen, Matuskey David, Carson Richard E, Hillmer Ansel T

机构信息

Department of Radiology and Biomedical Imaging, Yale PET Center, Yale School of Medicine, New Haven, CT, USA.

Department of Biomedical Engineering, Yale University, New Haven, CT, USA.

出版信息

J Cereb Blood Flow Metab. 2024 Feb;44(2):296-309. doi: 10.1177/0271678X231196804. Epub 2023 Aug 17.

Abstract

Standardized Uptake Value Ratio () is a widely reported semi-quantitative positron emission tomography (PET) outcome measure, partly because of its ease of measurement from short scan durations. However, in brain, is often a biased estimator of the gold-standard distribution volume ratio () due to non-equilibrium conditions, i.e., clearance of the radiotracer in relevant tissues. Factors that affect radiotracer metabolism and clearance such as medication or subject groups could lead to artificial differences in . This work developed a correction that reduces the bias in (estimated from a short 15-30 min PET imaging session) by accounting for the effects of tracer clearance observed during the late time window. The proposed correction takes the form of a one-step non-linear algebraic transform of that is a function of radiotracer dependent parameters such as clearance rates from the reference and target tissues, and population averaged reference region clearance rate (). An important observation was the need for accurate estimation of radiotracer clearance rate in target tissue, which was addressed with a regression based model. Simulations and human data from two different radiotracers (healthy controls for [C]LSN3172176, healthy controls and Parkinson's disease subjects for [F]FE-PE2I) were used to validate the correction and evaluate its benefits and limitations. correction in human data significantly reduced mean bias across brain regions and subjects (from ∼25% for to <10% for corrected ). This correction also significantly reduced the variability of this bias across brain regions for both tracers (approximately 50% for [C]LSN3172176, 20% for [F]FE-PE2I). Future work should investigate the benefits of using corrected in other populations and with different tracers.

摘要

标准化摄取值比率(SUVr)是一种广泛报道的半定量正电子发射断层扫描(PET)结果测量指标,部分原因是它易于从短扫描时间内进行测量。然而,在脑部,由于非平衡条件,即放射性示踪剂在相关组织中的清除,SUVr往往是金标准分布容积比率(DVR)的有偏估计量。影响放射性示踪剂代谢和清除的因素,如药物或受试者群体,可能导致SUVr出现人为差异。这项工作开发了一种校正方法,通过考虑在后期时间窗观察到的示踪剂清除效应,减少了SUVr(从15 - 30分钟的短PET成像时段估计)中的偏差。所提出的校正采用SUVr的一步非线性代数变换形式,该变换是放射性示踪剂相关参数的函数,如来自参考组织和靶组织的清除率,以及群体平均参考区域清除率(k2')。一个重要的观察结果是需要准确估计靶组织中的放射性示踪剂清除率,这通过基于回归的模型来解决。使用来自两种不同放射性示踪剂的模拟数据和人体数据([C]LSN3172176的健康对照,[F]FE - PE2I的健康对照和帕金森病受试者)来验证校正方法并评估其益处和局限性。人体数据中的SUVr校正显著降低了脑区和受试者之间的平均SUVr偏差(从SUVr的约25%降至校正后SUVr的<10%)。该校正还显著降低了两种示踪剂在脑区之间这种偏差的变异性([C]LSN3172176约为50%,[F]FE - PE2I约为20%)。未来的工作应研究在其他人群和使用不同示踪剂时使用校正后SUVr的益处。

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