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Dual Time-Point [18F]Fdg Pet Imaging for Quantification of Metabolic Uptake Rate: Evaluation of a Simple, Clinically Feasible Method Publisher Pubmed



Samimi R1 ; Kamaliasl A1 ; Ahmadyar Y1 ; Van Den Hoff J2, 3 ; Geramifar P4 ; Rahmim A5, 6
Authors
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Authors Affiliations
  1. 1. Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran, Iran
  2. 2. Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, 01328, Germany
  3. 3. Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universitat Dresden, Dresden, 01307, Germany
  4. 4. Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada
  6. 6. Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada

Source: Physica Medica Published:2024


Abstract

Purpose: We aimed to investigate whether a clinically feasible dual time-point (DTP) approach can accurately estimate the metabolic uptake rate constant (Ki) and to explore reliable acquisition times through simulations and clinical assessment considering patient comfort and quantification accuracy. Methods: We simulated uptake kinetics in different tumors for four sets of DTP PET images within the routine clinical static acquisition at 60-min post-injection (p.i.). We determined Ki for a total of 81 lesions. Ki quantification from full dynamic PET data (Patlak-Ki) and Ki from DTP (DTP-Ki) were compared. In addition, we scaled a population-based input function (PBIFscl) with the image-derived blood pool activity sampled at different time points to assess the best scaling time-point for Ki quantifications in the simulation data. Results: In the simulation study, Ki estimated using DTP via (30,60–min), (30,90–min), (60,90-min), and (60,120-min) samples showed strong correlations (r ≥ 0.944, P < 0.0001) with the true value of Ki. The DTP results with the PBIFscl at 60-min time-point in (30,60–min), (60,90-min), and (60,120-min) were linearly related to the true Ki with a slope of 1.037, 1.008, 1.013 and intercept of −6 × 10−4, 2 × 10−5, 5 × 10−5, respectively. In a clinical study, strong correlations (r ≥ 0.833, P < 0.0001) were observed between Patlak-Ki and DTP-Ki. The Patlak-derived mean values of Ki, tumor-to-background-ratio, signal-to-noise-ratio, and contrast-to-noise-ratio were linearly correlated with the DTP method. Conclusions: Besides calculating the retention index as a commonly used quantification parameter in DTP imaging, our DTP method can accurately estimate Ki. © 2024 Associazione Italiana di Fisica Medica e Sanitaria