Publications
230 results found
Okello A, Edison P, Archer H, et al., 2008, In vivo imaging of amyloid deposition and neuroinflammation in mild cognitive impairment with 11C-PIB and 11C-PK11195 pet, Annual Meeting of the Association-of-British-Neurologists, Publisher: B M J PUBLISHING GROUP, Pages: 341-341, ISSN: 0022-3050
Swingland JT, Edison P, Bose SK, et al., 2008, Disentangling functional imaging end-points in Alzheimer's disease, 7th International Symposium on Functional Neuroreceptor Mapping of the Living Brain, Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE, Pages: T117-T117, ISSN: 1053-8119
Tomasi G, Bertoldo A, Edison P, et al., 2007, Increased binding potential of [11C]PK11195 in Alzheimer disease using a new SRTM accounting for vascular binding, Journal of Cerebral Blood Flow and Metabolism, Vol: 27, ISSN: 0271-678X
INTRODUCTION: [11C]PK11195 PET is a marker of activated microglia. Currently, the simplified reference tissue model (SRTM) is the most used approach to estimate binding potential (BP) of this tracer. Standard SRTM can be modified by accounting for cerebral vasculature binding both in reference and target tissues (SRTMV) [1]. Here we analyze the use of SRTMV in comparison with SRTM in controls and patients suffering from Alzheimer's disease(AD). MATERIAL AND METHODS: 18 healthy subjects and 10 patients suffering from AD were considered. Each study was performed on an ECAT EXACT 3D scanner and each summed image was coregistered to the corresponding T1-weighted MRI scan and normalized to the stereotaxic space using SPM5 software. The time-activity-curves of several ROIs were extracted from the normalized image using the Hammersmith maximum probability atlas. BPs were first estimated using a classical SRTM with the reference tissue time course (CR) computed with the supervised selection algorithm described in [2]. A new version of the SRTM (SRTMV) was subsequently used which accounts for binding of [11C]PK11195 to vasculature in both target (Vb) and reference (VbR) regions. A fast algorithm which selected the pixels with the highest peak in the early frames was used to extract the vasculature tracer activity (Cb) directly from the images. CR and Cb were then used as input functions to SRTMV, VbR fixed to 5%, and RI, k2, BP and Vb estimated. Results: Figure 1 shows mean (±SD) BP estimates obtained in the six considered ROIs by using a SRTM (blue bars) and SRTMV (red bars) in controls(left panel) and patients(right panel). The inclusion of a vasculature component in SRTM increases BPs by about 10% in controls and 17% in AD patients. P-values obtained thorugh STRMV, indicators of higher BPs in AD patients,were significantly lower than SRTM p-values. In addition average Vb values derived in the 6 ROIs using SRTMV are 4% for controls but only 2.8% in patients. CONCLUS
Hinz R, Edison P, Brooks DJ, et al., 2007, Multi-resolution Bayesian regression for parametric imaging of [18F]FDG brain studies, Journal of Cerebral Blood Flow and Metabolism, Vol: 27, ISSN: 0271-678X
Background and aims: For the generation of parametric images of cerebral glucose metabolism, we have so far used the value of the impulse response function (IRF) at a late time point calculated with spectral analysis (SA) as an estimate of the combined forward rate constant KI [1]. This method provides unbiased estimates and images of good statistical quality, however, it also requires the acquisition of an arterial plasma input function with good temporal sampling. The Patlak plot [2] allows the generation of parametric maps utilising a series of discrete blood samples. Because the Patlak plot does not use the entire dynamic data set, the statistical quality of the parametric images is poorer. Here, we investigated the properties of the parametric maps generated with the new wavelet-based multi-resolution Bayesian regression (MBR) implementation of the Patlak plot [3]. Methods: After bolus administration of 185 MBq [18F]FDG, dynamic 3D PET data were acquired for 60 min on the ECAT EXACT HR+ scanner. The arterial plasma input function was generated using an online blood detector and 6 discrete arterial samples. SA was used with 100 basis functions logarithmically spaced between 0.0001053 s-1 and 0.1 s-1 to generate parametric maps of the IRF at 45 min. For the Patlak analysis, data of the last 6 frames between 30 and 60 min were used. Results: The figure shows parametric images of KI from an Alzheimer's disease subject. In comparison with region of interest based analysis, all three Methods: provided KI estimates in close agreement. In comparison with the original Patlak method on the left handside, SA and MBR Patlak provide images of superior quality, including cold spots in sulci. The Bland Altman plot in the right panel is derived from a voxelwise comparison between the parametric maps generated by SA and MBR Patlak. Apart from very small KI values where the nonnegativity constraint of SA applies, there is no systematic difference between the estimates provided b
Anderson AN, Pavese N, Edison P, et al., 2007, A systematic comparison of kinetic modelling methods generating parametric maps for [<SUP>11</SUP>C]-(R)-PK11195, NEUROIMAGE, Vol: 36, Pages: 28-37, ISSN: 1053-8119
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- Citations: 26
Edison P, Archer HA, Hinz R, et al., 2007, Amyloid, hypometabolism, and cognition in Alzheimer disease - An [11C]PIB and [18F]FDG PET study, NEUROLOGY, Vol: 68, Pages: 501-508, ISSN: 0028-3878
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- Citations: 413
Turkheimer FE, Edison P, Pavese N, et al., 2007, Reference and target region modeling of [<SUP>11</SUP>C]-(<i>R</i>)-PK11195 brain studies, JOURNAL OF NUCLEAR MEDICINE, Vol: 48, Pages: 158-167, ISSN: 0161-5505
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- Citations: 242
Archer HA, Edison P, Brooks DJ, et al., 2006, Amyloid load and cerebral atrophy in Alzheimer's disease:: An <SUP>11</SUP>C-PIB positron emission tomography study, ANNALS OF NEUROLOGY, Vol: 60, Pages: 145-147, ISSN: 0364-5134
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- Citations: 155
Edison P, Archer H, Hinz R, et al., 2006, Relationship between the distribution of microglial activation, amyloid plaque load and cerebral glucose metabolism in Alzheimer's disease (AD): An 11C-PK11195, 18F-FDG and 11C-PIB PET study., Annual Meeting of the American-Geriatrics-Society, Publisher: WILEY-BLACKWELL, Pages: S6-S7, ISSN: 0002-8614
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- Citations: 4
Edison P, Archer H, Hinz R, et al., 2006, Microglial activation and amyloid deposition in Alzheimer's disease:: An <SUP>11</SUP>C-PK11195 and <SUP>11</SUP>C-PIB PET study, 58th Annual Meeting of the American-Academy-of-Neurology, Publisher: LIPPINCOTT WILLIAMS & WILKINS, Pages: A122-A122, ISSN: 0028-3878
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- Citations: 1
Turkheimer FE, Edison P, Pavese N, et al., 2006, Supervised reference region extraction for the quantification of [11C]-(<i>R</i>)-PK11195 brain studies, 6th International Symposium on Neuroreceptor Mapping, Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE, Pages: T18-T18, ISSN: 1053-8119
Hinz R, Blomquist G, Edison P, et al., 2005, Parametric imaging of [11C]PIB studies using spectral analysis, J Cereb Blood Flow Metab, Vol: 25, Pages: S590-S590
Hinz R, Blonquist G, Edison P, et al., 2005, Simplified analysis of [11C]PIB images in AD patients and control subjects., J Nucl Med, Vol: 46, Pages: 456-457
Hinz R, Blomquist G, Edison P, et al., 2005, Parametric imaging of [11C]PIB studies using spectral analysis, J Cereb Blood Flow Metab, Vol: 25, Pages: S590-S590
Edison P, Archer HA, Hinz R, et al., 2005, Correlations between the distribution of microglial activation and amyloid plaque load in Alzheimer’s disease: An 11C-PK11195 and 11C-PIB PET study, Alzheimer's and Dementia, Vol: 1, Pages: 84-85
Edison P, Archer HA, Hinz R, et al., 2005, Correlation of regional cerebral amyloid load in Alzheimer's disease, measured with [11C]-PIB pet using spectral analysis and tissue uptake ratios, with Performance on recognition memory tests, J Cereb Blood Flow Metab, Vol: 25, Pages: S591-S591
Edison P, Archer HA, Hinz R, et al., 2005, Amyloid load in mild cognitive impairment compared to Alzheimer patients and normal subjects: An 11C-PIB PET study :, Alzheimer's and Dementia, Vol: 1, Pages: 44-44
Johansen A, Vasishta S, Edison P, et al., 2002, Clostridium difficile associated diarrhoea: how good are nurses at identifying the disease, Age and Ageing, Vol: 31, Pages: 487-488
Edison P, Amyloid Imaging in Dementia, International conference on Vascular Dementia, Budapest
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