Literature DB >> 19591948

Strategies for the generation of parametric images of [11C]PIB with plasma input functions considering discriminations and reproducibility.

Paul Edison1, David J Brooks, Federico E Turkheimer, Hilary A Archer, Rainer Hinz.   

Abstract

Pittsburgh compound B or [11C]PIB is an amyloid imaging agent which shows a clear differentiation between subjects with Alzheimer's disease (AD) and controls. However the observed signal difference in other forms of dementia such as dementia with Lewy bodies (DLB) is smaller, and mild cognitively impaired (MCI) subjects and some healthy elderly normals may show intermediate levels of [11C]PIB binding. The cerebellum, a commonly used reference region for non-specific tracer uptake in [11C]PIB studies in AD may not be valid in Prion disorders or monogenic forms of AD. The aim of this work was to: 1-compare methods for generating parametric maps of [11C]PIB retention in tissue using a plasma input function in respect of their ability to discriminate between AD subjects and controls and 2-estimate the test-retest reproducibility in AD subjects. 12 AD subjects (5 of which underwent a repeat scan within 6 weeks) and 10 control subjects had 90 minute [11C]PIB dynamic PET scans, and arterial plasma input functions were measured. Parametric maps were generated with graphical analysis of reversible binding (Logan plot), irreversible binding (Patlak plot), and spectral analysis. Between group differentiation was calculated using Student's t-test and comparisons between different methods were made using p values. Reproducibility was assessed by intraclass correlation coefficients (ICC). We found that the 75 min value of the impulse response function showed the best group differentiation and had a higher ICC than volume of distribution maps generated from Logan and spectral analysis. Patlak analysis of [11C]PIB binding was the least reproducible.

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Year:  2009        PMID: 19591948     DOI: 10.1016/j.neuroimage.2009.06.079

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  12 in total

Review 1.  Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches.

Authors:  Matteo Tonietto; Gaia Rizzo; Mattia Veronese; Masahiro Fujita; Sami S Zoghbi; Paolo Zanotti-Fregonara; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

2.  Separation of β-amyloid binding and white matter uptake of (18)F-flutemetamol using spectral analysis.

Authors:  Kerstin Heurling; Christopher Buckley; Rik Vandenberghe; Koen Van Laere; Mark Lubberink
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-10-12

3.  Kinetic modelling of [11C]PBR28 for 18 kDa translocator protein PET data: A validation study of vascular modelling in the brain using XBD173 and tissue analysis.

Authors:  Mattia Veronese; Tiago Reis Marques; Peter S Bloomfield; Gaia Rizzo; Nisha Singh; Deborah Jones; Erjon Agushi; Dominic Mosses; Alessandra Bertoldo; Oliver Howes; Federico Roncaroli; Federico E Turkheimer
Journal:  J Cereb Blood Flow Metab       Date:  2017-06-05       Impact factor: 6.200

4.  Technical aspects of amyloid imaging for Alzheimer's disease.

Authors:  Paul Edison; Rainer Hinz; David J Brooks
Journal:  Alzheimers Res Ther       Date:  2011-08-31       Impact factor: 6.982

5.  Multi-graphical analysis of dynamic PET.

Authors:  Yun Zhou; Weiguo Ye; James R Brasić; Dean F Wong
Journal:  Neuroimage       Date:  2009-11-17       Impact factor: 6.556

6.  [(11)C]Doxepin binding to histamine H1 receptors in living human brain: reproducibility during attentive waking and circadian rhythm.

Authors:  Katsuhiko Shibuya; Yoshihito Funaki; Kotaro Hiraoka; Takeo Yoshikawa; Fumito Naganuma; Masayasu Miyake; Shoichi Watanuki; Hirotoshi Sato; Manabu Tashiro; Kazuhiko Yanai
Journal:  Front Syst Neurosci       Date:  2012-06-11

7.  Quantitative amyloid imaging using image-derived arterial input function.

Authors:  Yi Su; Tyler M Blazey; Abraham Z Snyder; Marcus E Raichle; Russ C Hornbeck; Patricia Aldea; John C Morris; Tammie L S Benzinger
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

8.  Reference region automatic extraction in dynamic [(11)C]PIB.

Authors:  Yoko Ikoma; Paul Edison; Anil Ramlackhansingh; David J Brooks; Federico E Turkheimer
Journal:  J Cereb Blood Flow Metab       Date:  2013-08-07       Impact factor: 6.200

Review 9.  A survey of FDG- and amyloid-PET imaging in dementia and GRADE analysis.

Authors:  Daniela Perani; Perani Daniela; Orazio Schillaci; Schillaci Orazio; Alessandro Padovani; Padovani Alessandro; Flavio Mariano Nobili; Nobili Flavio Mariano; Leonardo Iaccarino; Iaccarino Leonardo; Pasquale Anthony Della Rosa; Della Rosa Pasquale Anthony; Giovanni Frisoni; Frisoni Giovanni; Carlo Caltagirone; Caltagirone Carlo
Journal:  Biomed Res Int       Date:  2014-03-19       Impact factor: 3.411

10.  Quantitative analysis of PiB-PET with FreeSurfer ROIs.

Authors:  Yi Su; Gina M D'Angelo; Andrei G Vlassenko; Gongfu Zhou; Abraham Z Snyder; Daniel S Marcus; Tyler M Blazey; Jon J Christensen; Shivangi Vora; John C Morris; Mark A Mintun; Tammie L S Benzinger
Journal:  PLoS One       Date:  2013-11-06       Impact factor: 3.240

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