Novel multi-parametric SUV/Patlak FDG-PET whole-body imaging framework for routine application to clinical oncology

摘要: 625 Objectives Standardized uptake value (SUV), although established in clinical oncology, depends on post-injection (p.i.) scan times and patient metabolic state[1]. In this study, we investigate a clinically adoptable quantitative whole-body (WB) PET framework, to replace conventional single-pass SUV with multi-pass dynamic imaging of same total duration, allowing generation both Patlak images from the scan. Methods A series 5 WB (0-90min) FDG-PET studies were conducted Siemens Biograph mCT TOF scanner, each consisting 15 passes [2,3]. Then, block 4 (10th 13th), was selected, corresponding duration (4x45sec=3min/bed) p.i. time (60-78min for 6 beds) routine protocols summed together either sinogram or image domains obtain respective data. parallel, selected frames also fit via model validated population-based input function method generate parametric [4]. Finally, sinogram- image-based methods against reference few days apart. Results Contrast-to-noise ratio (CNR) agreements within 15% found between proposed all patients, which is satisfactory given repeatability issues [1]. Moreover, sinogram-based achieved only slightly better precision (~5%) than SUV, while accuracy similar, thus, summing 60mins can be adequate. tumor contrast similar enhanced compared ROIs. Conclusions We have readily-adoptable transition imaging, demonstrated potential maintain performance, additionally providing images. Research Support This work supported by Swiss National Science Foundation under Grant SNSF 31003A-149957 Medical Solutions.