UNLABELLED: Several methods are in use for analyzing (11)C-Pittsburgh compound-B ((11)C-PiB) data. The objective of this study was to identify the method of choice for measuring longitudinal changes in specific (11)C-PiB binding. METHODS: Dynamic 90-min (11)C-PiB baseline and follow-up scans (interval, 30 ± 5 mo) were obtained for 7 Alzheimer disease (AD) patients, 11 patients with mild cognitive impairment (MCI), and 11 healthy controls. Parametric images were generated using reference parametric mapping (RPM2), reference Logan values, and standardized uptake value volume ratios (SUVr), the latter for intervals between 60 and 90 (SUVr(60-90)) and 40 and 60 (SUVr(40-60)) minutes after injection. In all analyses, cerebellar gray matter was used as a reference region. A global cortical volume of interest was defined using a probability map-based template. Percentage change between baseline and follow-up was derived for all analytic methods. RESULTS: SUVr(60-90) and SUVr(40-60) overestimated binding with 13% and 10%, respectively, compared with RPM2. Reference Logan values were on average 6% lower than RPM2. Both SUVr measures showed high intersubject variability. Over time, R1, the delivery of tracer to the cortex relative to that to the cerebellum, decreased in AD patients (P < 0.05) but not in MCI patients and controls. Simulations showed that SUVr, but not RPM2 and reference Logan values, was highly dependent on uptake period and that changes in SUVr over time were sensitive to changes in flow. CONCLUSION: To reliably assess amyloid binding over time--for example, in drug intervention studies--it is essential to use fully quantitative methods for data acquisition and analysis.
UNLABELLED: Several methods are in use for analyzing (11)C-Pittsburgh compound-B ((11)C-PiB) data. The objective of this study was to identify the method of choice for measuring longitudinal changes in specific (11)C-PiB binding. METHODS: Dynamic 90-min (11)C-PiB baseline and follow-up scans (interval, 30 ± 5 mo) were obtained for 7 Alzheimer disease (AD) patients, 11 patients with mild cognitive impairment (MCI), and 11 healthy controls. Parametric images were generated using reference parametric mapping (RPM2), reference Logan values, and standardized uptake value volume ratios (SUVr), the latter for intervals between 60 and 90 (SUVr(60-90)) and 40 and 60 (SUVr(40-60)) minutes after injection. In all analyses, cerebellar gray matter was used as a reference region. A global cortical volume of interest was defined using a probability map-based template. Percentage change between baseline and follow-up was derived for all analytic methods. RESULTS: SUVr(60-90) and SUVr(40-60) overestimated binding with 13% and 10%, respectively, compared with RPM2. Reference Logan values were on average 6% lower than RPM2. Both SUVr measures showed high intersubject variability. Over time, R1, the delivery of tracer to the cortex relative to that to the cerebellum, decreased in ADpatients (P < 0.05) but not in MCI patients and controls. Simulations showed that SUVr, but not RPM2 and reference Logan values, was highly dependent on uptake period and that changes in SUVr over time were sensitive to changes in flow. CONCLUSION: To reliably assess amyloid binding over time--for example, in drug intervention studies--it is essential to use fully quantitative methods for data acquisition and analysis.
Authors: Yin J Chen; Bedda L Rosario; Wenzhu Mowrey; Charles M Laymon; Xueling Lu; Oscar L Lopez; William E Klunk; Brian J Lopresti; Chester A Mathis; Julie C Price Journal: J Nucl Med Date: 2015-06-04 Impact factor: 10.057
Authors: Kristina Herfert; Julia G Mannheim; Laura Kuebler; Sabina Marciano; Mario Amend; Christoph Parl; Hanna Napieczynska; Florian M Maier; Salvador Castaneda Vega; Bernd J Pichler Journal: Mol Imaging Biol Date: 2020-04 Impact factor: 3.488
Authors: Jennifer L Whitwell; Nirubol Tosakulwong; Christopher G Schwarz; Hugo Botha; Matthew L Senjem; Anthony J Spychalla; J Eric Ahlskog; David S Knopman; Ronald C Petersen; Clifford R Jack; Val J Lowe; Keith A Josephs Journal: Mov Disord Date: 2018-11-23 Impact factor: 10.338
Authors: Christopher G Schwarz; Matthew L Senjem; Jeffrey L Gunter; Nirubol Tosakulwong; Stephen D Weigand; Bradley J Kemp; Anthony J Spychalla; Prashanthi Vemuri; Ronald C Petersen; Val J Lowe; Clifford R Jack Journal: Neuroimage Date: 2016-08-27 Impact factor: 6.556
Authors: Valentina Garibotto; Nathalie L Albert; Henryk Barthel; Bart van Berckel; Ronald Boellaard; Matthias Brendel; Diego Cecchin; Ozgul Ekmekcioglu; Elsmarieke van de Giessen; Eric Guedj; Adriaan A Lammerstma; Franck Semah; Tatjana Traub-Weidinger; Donatienne Van Weehaeghe; Silvia Morbelli Journal: Eur J Nucl Med Mol Imaging Date: 2021-07-17 Impact factor: 9.236
Authors: Nathalie Mertens; Ralph Paul Maguire; Kim Serdons; Brigitte Lacroix; Joel Mercier; David Sciberras; Koen Van Laere; Michel Koole Journal: Mol Imaging Biol Date: 2020-04 Impact factor: 3.488