Jing Wu1, Jean-Dominique Gallezot1, Yihuan Lu1, Qing Ye1,2, Hui Liu3, Denise A Esserman4, Tassos C Kyriakides4, Stephanie L Thorn3, Taraneh Hashemi Zonouz3, Yi-Hwa Liu3,5,6, Rachel J Lampert3, Albert J Sinusas1,3, Richard E Carson1, Chi Liu7. 1. Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut. 2. Department of Engineering Physics, Key Laboratory of Particle and Radiation Imaging (Tsinghua University), Ministry of Education, Beijing, China. 3. Department of Internal Medicine (Cardiology), Yale University, New Haven, Connecticut. 4. Yale School of Public Health (Biostatistics), Yale University, New Haven, Connecticut. 5. Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan; and. 6. Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan. 7. Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut chi.liu@yale.edu.
Abstract
Previous studies have demonstrated the feasibility of absolute quantification of dynamic 123I-metaiodobenzylguanidine (123I-MIBG) SPECT imaging in humans. This work reports a simplified quantification method for dynamic 123I-MIBG SPECT using practical protocols with shortened acquisition time and voxel-by-voxel parametric imaging. Methods: Twelve healthy human volunteers underwent five 15-min dynamic SPECT scans at 0, 15, 90, 120, and 180 min after 123I-MIBG injection. List-mode SPECT data were binned into 29 frames and reconstructed with corrections for attenuation, scatter, and decay. Population-based blood-to-plasma correction and metabolite correction were applied to the image-derived input function. Likelihood estimation in graphical analysis (LEGA) was used as a simplified model to obtain volume of distribution (V T) values, which were compared with those obtained with the reversible 2-tissue (2T) compartment model. Three simplified protocols were evaluated with 2T and LEGA using a 30-min scan started simultaneously with tracer injection plus a 15-min scan at 90, 120, or 180 min after injection. Voxel-by-voxel LEGA fitting was applied to the aligned dynamic images using both the full protocol (five 15-min scans) and the simplified protocols. Results: Correlation analysis (y = 0.955x + 0.547, R 2 = 0.997) and Bland-Altman plot (mean difference, -0.8 mL/cm3; 95% limits of agreement, [-2.5, 1.0] mL/cm3; normal V T range, 29.0 ± 12.4 mL/cm3) showed that LEGA can be used as a simplified model of 2T for 123I-MIBG. High-quality V T parametric images could be obtained with LEGA. Region-of-interest (ROI) modeling and parametric imaging results were in excellent agreement as determined by correlation analysis (y = 0.999x - 1.026, R 2 = 0.982) and Bland-Altman plot (mean difference, -1.0 mL/cm3; 95% limits of agreement, [-4.2, 2.1] mL/cm3). V T correlated reasonably well between all simplified protocols and the full protocol with LEGA but not with 2T. The V T results were more reliable when there was a longer interval between the 2 acquisitions in the simplified protocols. Conclusion: For ROI-based kinetic modeling and parametric imaging, reliable quantification of dynamic 123I-MIBG SPECT can be achieved with LEGA using a simplified protocol of a 30-min scan starting with tracer injection plus a 15-min scan no earlier than 180 min after injection.
Previous studies have demonstrated the feasibility of absolute quantification of dynamic 123I-metaiodobenzylguanidine (123I-MIBG) SPECT imaging in humans. This work reports a simplified quantification method for dynamic 123I-MIBG SPECT using practical protocols with shortened acquisition time and voxel-by-voxel parametric imaging. Methods: Twelve healthy human volunteers underwent five 15-min dynamic SPECT scans at 0, 15, 90, 120, and 180 min after 123I-MIBG injection. List-mode SPECT data were binned into 29 frames and reconstructed with corrections for attenuation, scatter, and decay. Population-based blood-to-plasma correction and metabolite correction were applied to the image-derived input function. Likelihood estimation in graphical analysis (LEGA) was used as a simplified model to obtain volume of distribution (V T) values, which were compared with those obtained with the reversible 2-tissue (2T) compartment model. Three simplified protocols were evaluated with 2T and LEGA using a 30-min scan started simultaneously with tracer injection plus a 15-min scan at 90, 120, or 180 min after injection. Voxel-by-voxel LEGA fitting was applied to the aligned dynamic images using both the full protocol (five 15-min scans) and the simplified protocols. Results: Correlation analysis (y = 0.955x + 0.547, R 2 = 0.997) and Bland-Altman plot (mean difference, -0.8 mL/cm3; 95% limits of agreement, [-2.5, 1.0] mL/cm3; normal V T range, 29.0 ± 12.4 mL/cm3) showed that LEGA can be used as a simplified model of 2T for 123I-MIBG. High-quality V T parametric images could be obtained with LEGA. Region-of-interest (ROI) modeling and parametric imaging results were in excellent agreement as determined by correlation analysis (y = 0.999x - 1.026, R 2 = 0.982) and Bland-Altman plot (mean difference, -1.0 mL/cm3; 95% limits of agreement, [-4.2, 2.1] mL/cm3). V T correlated reasonably well between all simplified protocols and the full protocol with LEGA but not with 2T. The V T results were more reliable when there was a longer interval between the 2 acquisitions in the simplified protocols. Conclusion: For ROI-based kinetic modeling and parametric imaging, reliable quantification of dynamic 123I-MIBG SPECT can be achieved with LEGA using a simplified protocol of a 30-min scan starting with tracer injection plus a 15-min scan no earlier than 180 min after injection.
Authors: Jing Wu; Nabil E Boutagy; Zhengxin Cai; Shu-Fei Lin; Ming-Qiang Zheng; Attila Feher; John C Stendahl; Michael Kapinos; Jean-Dominique Gallezot; Hui Liu; Tim Mulnix; Wenjie Zhang; Marcel Lindemann; Jo-Ku Teng; Edward J Miller; Yiyun Huang; Richard E Carson; Albert J Sinusas; Chi Liu Journal: J Nucl Cardiol Date: 2020-05-15 Impact factor: 5.952