Guobing Liu1,2,3,4, Haojun Yu1,2,3,4, Dai Shi1,2,3,4, Pengcheng Hu1,2,3,4, Yan Hu1,2,3,4, Hui Tan1,2,3,4, Yiqiu Zhang1,2,3,4, Hongyan Yin1,2,3,4, Hongcheng Shi5,6,7,8. 1. Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China. 2. Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, China. 3. Shanghai Institute of Medical Imaging, Shanghai, 200032, China. 4. Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. 5. Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China. shi.hongcheng@zs-hospital.sh.cn. 6. Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, China. shi.hongcheng@zs-hospital.sh.cn. 7. Shanghai Institute of Medical Imaging, Shanghai, 200032, China. shi.hongcheng@zs-hospital.sh.cn. 8. Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. shi.hongcheng@zs-hospital.sh.cn.
Abstract
PURPOSE: To investigate the performance of short-time dynamic imaging in quantifying kinetic metrics of 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG). METHODS: Dynamic total-body positron emission tomography (PET) imaging was performed in 11 healthy volunteers for 75 min. The data were divided into 30-, 45- and 75-min groups. Nonlinear regression (NLR) generated constant rates (k1 to k3) and NLR-based Ki in various organs. The Patlak method calculated parametric Ki images to generate Patlak-based Ki values. Paired samples t-test or the Wilcoxon signed-rank test compared the kinetic metrics between the groups, depending on data normality. Deming regression and Bland-Altman analysis assessed the correlation and agreement between NLR- and Patlak-based Ki. A two-sided P < 0.05 was considered statistically significant. RESULTS: The 45- and 75-min groups were similar in NLR-based kinetic metrics. The relative difference ranges were as follows: k1, from 3.4% (P = 0.627) in the spleen to 57.9% (P = 0.130) in the white matter; k2, from 6.0% (P = 0.904) in the spleen to 60.7% (P = 0.235) in the left ventricle (LV) myocardium; k3, from 45.6% (P = 0.302) in the LV myocardium to 96.3% (P = 0.478) in the liver; Ki, from 14.0% (P = 0.488) in the liver to 77.8% (P = 0.067) in the kidney. Patlak-based Ki values were also similar between these groups in all organs, except the grey matter (9.6%, P = 0.029) and cerebellum (14.4%, P = 0.002). However, significant differences in kinetic metrics were found between the 30-min and 75-min groups in most organs both in NLR- and Patlak-based analyses. The NLR- and Patlak-based Ki values significantly correlated, with no bias in any of the organs. CONCLUSION: Dynamic imaging using a high-sensitivity total-body PET scanner for a shorter time of 45 min could achieve relevant kinetic metrics of 18F-FDG as done by long-time imaging.
PURPOSE: To investigate the performance of short-time dynamic imaging in quantifying kinetic metrics of 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG). METHODS: Dynamic total-body positron emission tomography (PET) imaging was performed in 11 healthy volunteers for 75 min. The data were divided into 30-, 45- and 75-min groups. Nonlinear regression (NLR) generated constant rates (k1 to k3) and NLR-based Ki in various organs. The Patlak method calculated parametric Ki images to generate Patlak-based Ki values. Paired samples t-test or the Wilcoxon signed-rank test compared the kinetic metrics between the groups, depending on data normality. Deming regression and Bland-Altman analysis assessed the correlation and agreement between NLR- and Patlak-based Ki. A two-sided P < 0.05 was considered statistically significant. RESULTS: The 45- and 75-min groups were similar in NLR-based kinetic metrics. The relative difference ranges were as follows: k1, from 3.4% (P = 0.627) in the spleen to 57.9% (P = 0.130) in the white matter; k2, from 6.0% (P = 0.904) in the spleen to 60.7% (P = 0.235) in the left ventricle (LV) myocardium; k3, from 45.6% (P = 0.302) in the LV myocardium to 96.3% (P = 0.478) in the liver; Ki, from 14.0% (P = 0.488) in the liver to 77.8% (P = 0.067) in the kidney. Patlak-based Ki values were also similar between these groups in all organs, except the grey matter (9.6%, P = 0.029) and cerebellum (14.4%, P = 0.002). However, significant differences in kinetic metrics were found between the 30-min and 75-min groups in most organs both in NLR- and Patlak-based analyses. The NLR- and Patlak-based Ki values significantly correlated, with no bias in any of the organs. CONCLUSION: Dynamic imaging using a high-sensitivity total-body PET scanner for a shorter time of 45 min could achieve relevant kinetic metrics of 18F-FDG as done by long-time imaging.
Authors: G Brix; S I Ziegler; M E Bellemann; J Doll; R Schosser; R Lucht; H Krieter; D Nosske; U Haberkorn Journal: J Nucl Med Date: 2001-08 Impact factor: 10.057
Authors: Lioe-Fee de Geus-Oei; Eric P Visser; Paul F M Krabbe; Bas A van Hoorn; Emile B Koenders; Antoon T Willemsen; Jan Pruim; Frans H M Corstens; Wim J G Oyen Journal: J Nucl Med Date: 2006-06 Impact factor: 10.057
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