Quantitative Total-Body Imaging of Blood Flow with High-Temporal-Resolution Early Dynamic 18F-FDG PET Kinetic Modeling

Kevin J. Chung, Abhijit J. Chaudhari, Lorenzo Nardo, Terry Jones, Moon S. Chen, Ramsey D. Badawi, Simon R. Cherry, Guobao Wang
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Abstract

Past efforts to measure blood flow with the widely available radiotracer 18F-FDG were limited to tissues with high 18F-FDG extraction fraction. In this study, we developed an early dynamic 18F-FDG PET method with high-temporal-resolution (HTR) kinetic modeling to assess total-body blood flow based on deriving the vascular phase of 18F-FDG transit and conducted a pilot comparison study against a 11C-butanol flow-tracer reference. Methods: The first 2 min of dynamic PET scans were reconstructed at HTR (60 x 1 s/frame, 30 x 2 s/frame) to resolve the rapid passage of the radiotracer through blood vessels. In contrast to existing methods that use blood-to-tissue transport rate as a surrogate of blood flow, our method directly estimated blood flow using a distributed kinetic model (adiabatic approximation to tissue homogeneity [AATH] model). To validate our 18F-FDG measurements of blood flow against a reference flow-specific radiotracer, we analyzed total-body dynamic PET images of 6 human participants scanned with both 18F-FDG and 11C-butanol. An additional 34 total-body dynamic 18F-FDG PET images of healthy participants were analyzed for comparison against published blood-flow ranges. Regional blood flow was estimated across the body, and total-body parametric imaging of blood flow was conducted for visual assessment. AATH and standard compartment model fitting was compared using the Akaike information criterion at different temporal resolutions. Results: 18F-FDG blood flow was in quantitative agreement with flow measured from 11C-butanol across same-subject regional measurements (Pearson correlation coefficient, 0.955; P < 0.001; linear regression slope and intercept, 0.973 and –0.012, respectively), which was visually corroborated by total-body blood-flow parametric imaging. Our method resolved a wide range of blood-flow values across the body in broad agreement with published ranges (e.g., healthy cohort values of 0.51 ± 0.12 mL/min/cm3 in the cerebral cortex and 2.03 ± 0.64 mL/min/cm3 in the lungs). HTR (1–2 s/frame) was required for AATH modeling. Conclusion: Total-body blood-flow imaging was feasible using early dynamic 18F-FDG PET with HTR kinetic modeling. This method may be combined with standard 18F-FDG PET methods to enable efficient single-tracer multiparametric flow-metabolism imaging, with numerous research and clinical applications in oncology, cardiovascular disease, pain medicine, and neuroscience.

采用高时间分辨率早期动态18F-FDG PET动力学建模的血流定量全身成像
过去使用广泛使用的放射性示踪剂18F-FDG测量血流的努力仅限于具有高18F-FDG萃取分数的组织。在这项研究中,我们开发了一种基于高时间分辨率(HTR)动力学模型的早期动态18F-FDG PET方法,通过衍生18F-FDG运输的血管相来评估全身血流,并与11c -丁醇血流示踪剂进行了初步比较研究。方法:采用HTR (60 × 1 s/帧,30 × 2 s/帧)重建动态PET扫描前2 min,以解决放射性示踪剂通过血管的快速通道问题。与使用血液到组织转运率作为血流量替代指标的现有方法不同,我们的方法使用分布式动力学模型(组织均匀性绝热近似[AATH]模型)直接估计血流量。为了验证我们的18F-FDG对参考血流特异性放射性示踪剂的血流测量结果,我们分析了6名受试者用18F-FDG和11c -丁醇扫描的全身动态PET图像。对健康参与者的另外34张全身动态18F-FDG PET图像进行分析,与已公布的血流范围进行比较。估计全身区域血流量,并进行全身血流量参数化成像进行视觉评估。采用赤池信息准则,比较了不同时间分辨率下的AATH和标准隔室模型拟合。结果:在同一受试者区域测量中,18F-FDG血流量与11c -丁醇血流量的定量一致(Pearson相关系数,0.955;P & lt;0.001;线性回归斜率和截距分别为0.973和0.012),经全身血流参数化成像直观证实。我们的方法解决了大范围的全身血流量值,与已公布的范围大体一致(例如,健康队列值为0.51 +;脑皮质0.12 mL/min/cm3,脑皮质2.03 mL/min/cm3;肺0.64 mL/min/cm3)。AATH建模需要HTR (1–2 s/frame)。结论:采用HTR动力学建模的早期动态18F-FDG PET进行全身血流成像是可行的。该方法可与标准的18F-FDG PET方法相结合,实现高效的单示踪剂多参数血流代谢成像,在肿瘤学、心血管疾病、疼痛医学和神经科学领域具有广泛的研究和临床应用。
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