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