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

Chung, Kevin J; Chaudhari, Abhijit J; Nardo, Lorenzo; Jones, Terry; Chen, Moon S; Badawi, Ramsey D; Cherry, Simon R; Wang, Guobao · J Nucl Med · 2025

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Abstract

Past efforts to measure blood flow with the widely available radiotracer <sup>18</sup>F-FDG were limited to tissues with high <sup>18</sup>F-FDG extraction fraction. In this study, we developed an early dynamic <sup>18</sup>F-FDG PET method with high-temporal-resolution (HTR) kinetic modeling to assess total-body blood flow based on deriving the vascular phase of <sup>18</sup>F-FDG transit and conducted a pilot comparison study against a <sup>11</sup>C-butanol flow-tracer reference. <b>Methods:</b> The first 2 min of dynamic PET scans were reconstructed at HTR (60 × 1 s/frame, 30 × 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 <sup>18</sup>F-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 <sup>18</sup>F-FDG and <sup>11</sup>C-butanol. An additional 34 total-body dynamic <sup>18</sup>F-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. <b>Results:</b> <sup>18</sup>F-FDG blood flow was in quantitative agreement with flow measured from <sup>11</sup>C-butanol across same-subject regional measurements (Pearson correlation coefficient, 0.955; <i>P</i> < 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/cm<sup>3</sup> in the cerebral cortex and 2.03 ± 0.64 mL/min/cm<sup>3</sup> in the lungs). HTR (1-2 s/frame) was required for AATH modeling. <b>Conclusion:</b> Total-body blood-flow imaging was feasible using early dynamic <sup>18</sup>F-FDG PET with HTR kinetic modeling. This method may be combined with standard <sup>18</sup>F-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.

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