Parametric Methods for Dynamic 11 C-Phenytoin PET Studies

• Published in: Journal of Nuclear Medicine Vol. 58; no. 3; pp. 479 - 483
• Main Authors: Mansor, Syahir, Yaqub, Maqsood, Boellaard, Ronald, Froklage, Femke E., de Vries, Anke, Bakker, Esther D.M., Voskuyl, Rob A., Eriksson, Jonas, Schwarte, Lothar A., Verbeek, Joost, Windhorst, Albert D., Lammertsma, Adriaan A.
• Format: Journal Article
• Language: English
• Published: United States 01.03.2017
• Subjects: Adult; ATP-Binding Cassette, Sub-Family B, Member 1 - metabolism; Brain - diagnostic imaging; Brain - metabolism; Carbon Radioisotopes - blood; Carbon Radioisotopes - pharmacokinetics; Humans; Male; Metabolic Clearance Rate; Organ Specificity; Phenytoin - blood; Phenytoin - pharmacokinetics; Positron-Emission Tomography - methods; Radiopharmaceuticals - pharmacokinetics; Reproducibility of Results; Sensitivity and Specificity; Tissue Distribution; Young Adult; test-retest variability; parametric kinetic modeling; 11C-phenytoin; PET quantification
• ISSN: 0161-5505; 2159-662X; 1535-5667
• DOI: 10.2967/jnumed.116.178707

In this study, the performance of various methods for generating quantitative parametric images of dynamic C-phenytoin PET studies was evaluated. Double-baseline 60-min dynamic C-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 (V ) and influx rate ( ) 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 and V values. Biases in V observed with all parametric methods were less than 5%. For , spectral analysis showed a negative bias of 16%. The mean TRT variabilities of V and were less than 10% for all methods. Shortening the scan duration to 45 min provided similar V and with comparable TRT performance compared with 60-min data. Among the various parametric methods tested, the basis function method provided parametric V and 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.