Simplified parametric methods for [11C]PIB studies

Yaqub, Maqsood; Tolboom, Nelleke; Boellaard, Ronald; Berckel, Bart N.M. van; Tilburg, Erica W. van; Luurtsema, Gert; Scheltens, Philip; Lammertsma, Adriaan A.

doi:10.1016/j.neuroimage.2008.04.251

Cited by 85 publications

(105 citation statements)

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“…Previous studies using 11 C-PiB have shown high diagnostic accuracy for the detection of AD (2,3). Longitudinal studies, however, have provided inconsistent findings with either no (4)(5)(6) or modest (7-9) changes in 11 C-PiB binding over time in AD patients.…”

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confidence: 99%

“…Longitudinal studies, however, have provided inconsistent findings with either no (4)(5)(6) or modest (7-9) changes in 11 C-PiB binding over time in AD patients. Apart from other methodologic considerations, one possible explanation for these inconsistent results could be the method used to quantify specific 11 C-PiB binding.…”

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confidence: 99%

“…In a previous study, receptor parametric mapping (RPM2, a basis function implementation of the simplified reference tissue model) (10) was identified as the best parametric method for analyzing 11 C-PiB data (11). Compared with other methods, RPM2 was least sensitive to noise and showed the highest contrast.…”

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confidence: 99%

“…In most clinical 11 C-PiB studies, SUVr has been used to measure amyloid load (2,6,13). This is understandable because SUVr has numerous advantages, such as computational simplicity, shorter scan duration, and less vulnerability to patient movement.…”

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Longitudinal Amyloid Imaging Using ¹¹C-PiB: Methodologic Considerations

et al. 2013

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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 6 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, R 1 , 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.

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Longitudinal Amyloid Imaging Using ¹¹C-PiB: Methodologic Considerations

et al. 2013

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“…This approach has been used extensively since its introduction [16][17][18][19]. Nevertheless, as with every reference approach, it does not allow for estimation of the V T and requires the existence of a reference region with little or no specific binding that does not differ between groups of interest, which is not available for all radioligands.…”

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confidence: 99%