title: Quantification of dopamine transporter binding using [18F]FP-beta-CIT and positron emission tomography.
abstract: The purpose of this study was to compare different kinetic and semi-quantitative methods for analysing human [18F]FP-beta-CIT studies: plasma input models, simplified (SRTM) and full (FRTM) reference tissue models, standard uptake values (SUV) and SUV ratios (SUVr). Both simulations and clinical evaluations were performed to determine the effects of noise, scan duration and blood volume on Akaike model selection, and on precision and accuracy of estimated parameters. For typical noise levels (COV approximately 2.5%) and scan durations (<90 mins), simulations provided poor fits (Akaike criterion) in case of reversible plasma input models showing a relatively high number of outliers compared with the two-tissue irreversible model. Reference tissue models provided more reliable fits, which were nearly independent of noise and scan duration. For clinical data, two tissue irreversible and reversible plasma input models fitted striatum curves equally well (Akaike criterion). BP with plasma input models were less precise and contained more outliers than BP obtained with SRTM or FRTM. Among all methods tested, SRTM showed the highest contrast between patients and controls. When differentiating between patients and controls, SUVr performed almost equally well as SRTM, although contrast between striatum and background was lower. In conclusion, SRTM provided BP estimates with the highest precision and accuracy. Moreover, SRTM provided good contrast between patients and controls, and between striatum and background. SRTM is therefore the method of choice for quantitative [18F]FP-beta-CIT studies. SUVr might be an alternative for larger clinical trials.
authors.affiliation: Department of Nuclear Medicine & PET Research, VU University Medical Centre, Amsterdam, The Netherlands. Maqsood.Yaqub@VUmc.nl
authors.forename: Maqsood
authors.initials: M
authors.lastname: Yaqub
authors.forename: Ronald
authors.initials: R
authors.lastname: Boellaard
authors.forename: Bart N M
authors.initials: BN
authors.lastname: van Berckel
authors.forename: Mirthe M
authors.initials: MM
authors.lastname: Ponsen
authors.forename: Mark
authors.initials: M
authors.lastname: Lubberink
authors.forename: Albert D
authors.initials: AD
authors.lastname: Windhorst
authors.forename: Henk W
authors.initials: HW
authors.lastname: Berendse
authors.forename: Adriaan A
authors.initials: AA
authors.lastname: Lammertsma
mesh_terms: D000368:Aged; D001921:Brain / Q000187:drug effects / Q000378:metabolism*; D050483:Dopamine Plasma Membrane Transport Proteins / Q000378:metabolism*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D019636:Neurodegenerative Diseases / Q000175:diagnosis; D049268:Positron-Emission Tomography; D019275:Radiopharmaceuticals / Q000493:pharmacokinetics*; D012680:Sensitivity and Specificity; D014326:Tropanes / Q000493:pharmacokinetics*
chemical_list: D050483:Dopamine Plasma Membrane Transport Proteins; D019275:Radiopharmaceuticals; D014326:Tropanes; C087552:2-carbomethoxy-8-(3-fluoropropyl)-3-(4-iodophenyl)tropane