TY - JOUR T1 - Parametric Methods for Dynamic <sup>11</sup>C-Phenytoin PET Studies JF - Journal of Nuclear Medicine JO - J Nucl Med SP - 479 LP - 483 DO - 10.2967/jnumed.116.178707 VL - 58 IS - 3 AU - Syahir Mansor AU - Maqsood Yaqub AU - Ronald Boellaard AU - Femke E. Froklage AU - Anke de Vries AU - Esther D.M. Bakker AU - Rob A. Voskuyl AU - Jonas Eriksson AU - Lothar A. Schwarte AU - Joost Verbeek AU - Albert D. Windhorst AU - Adriaan A. Lammertsma Y1 - 2017/03/01 UR - http://jnm.snmjournals.org/content/58/3/479.abstract N2 - In this study, the performance of various methods for generating quantitative parametric images of dynamic 11C-phenytoin PET studies was evaluated. Methods: Double-baseline 60-min dynamic 11C-phenytoin PET studies, including online arterial sampling, were acquired for 6 healthy subjects. Parametric images were generated using Logan plot analysis, a basis function method, and spectral analysis. Parametric distribution volume (VT) and influx rate (K1) were compared with those obtained from nonlinear regression analysis of time–activity curves. In addition, global and regional test–retest (TRT) variability was determined for parametric K1 and VT values. Results: Biases in VT observed with all parametric methods were less than 5%. For K1, spectral analysis showed a negative bias of 16%. The mean TRT variabilities of VT and K1 were less than 10% for all methods. Shortening the scan duration to 45 min provided similar VT and K1 with comparable TRT performance compared with 60-min data. Conclusion: Among the various parametric methods tested, the basis function method provided parametric VT and K1 values with the least bias compared with nonlinear regression data and showed TRT variabilities lower than 5%, also for smaller volume-of-interest sizes (i.e., higher noise levels) and shorter scan duration. ER -