Feasibility of rapid multitracer PET tumor imaging
Feasibility of rapid multitracer PET tumor imaging
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DOI：
10.1109/nssmic.2004.1462799
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发表时间：
2004-10
影响因子：
1.8
通讯作者：
D. Kadrmas;T. Rust
中科院分区：
文献类型：
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作者：
D. Kadrmas;T. Rust
正电子发射断层扫描（PET）可以使用各种示踪剂表征肿瘤生理学的不同方面。PET扫描通常只使用一种示踪剂进行，因为没有明确的信号来区分多种示踪剂。我们测试了使用动态成像技术快速成像多种PET示踪剂的可行性，其中来自每种示踪剂的信号基于示踪剂半衰期、动力学和分布的差异而分离。使用适当的房室模型模拟FDG、醋酸盐、ATSM和PTSM的时间-活性曲线群体，并通过移位和添加单示踪剂曲线来计算噪声双示踪剂曲线。单示踪剂成分，然后估计从双示踪剂数据使用两种方法：主成分分析（PCA）为基础的拟合单示踪剂成分的多示踪剂数据，和并行多示踪剂室模型估计单示踪剂速率参数从多示踪剂的时间-活性曲线。PCA分析发现，存在用于分离多示踪剂数据的信息内容，并且示踪剂可分离性取决于示踪剂动力学、注入顺序和定时。多示踪剂室模型恢复率参数为个别示踪剂具有良好的准确性，但有点较高的统计不确定性比单示踪剂的结果时，注射延迟>10分钟。这些方法来处理快速多示踪剂PET数据可能提供一个新的工具，在体内表征肿瘤生理学的多个方面。
Positron emission tomography (PET) can characterize different aspects of tumor physiology using various tracers. PET scans are usually performed using only one tracer since there is no explicit signal for distinguishing multiple tracers. We tested the feasibility of rapidly imaging multiple PET tracers using dynamic imaging techniques, where the signals from each tracer are separated based upon differences in tracer half-life, kinetics, and distribution. Time-activity curve populations for FDG, acetate, ATSM, and PTSM were simulated using appropriate compartment models, and noisy dual-tracer curves were computed by shifting and adding the single-tracer curves. Single-tracer components were then estimated from dual-tracer data using two methods: principal component analysis (PCA)-based fits of single-tracer components to multitracer data, and parallel multitracer compartment models estimating single-tracer rate parameters from multitracer time-activity curves. The PCA analysis found that there is information content present for separating multitracer data, and that tracer separability depends upon tracer kinetics, injection order and timing. Multitracer compartment modeling recovered rate parameters for individual tracers with good accuracy but somewhat higher statistical uncertainty than single-tracer results when the injection delay was >10 min. These approaches to processing rapid multitracer PET data may potentially provide a new tool for characterizing multiple aspects of tumor physiology in vivo.