Literature DB >> 15944649

Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound-B.

Julie C Price1, William E Klunk, Brian J Lopresti, Xueling Lu, Jessica A Hoge, Scott K Ziolko, Daniel P Holt, Carolyn C Meltzer, Steven T DeKosky, Chester A Mathis.   

Abstract

A valid quantitative imaging method for the measurement of amyloid deposition in humans could improve Alzheimer's disease (AD) diagnosis and antiamyloid therapy assessment. Our group developed Pittsburgh Compound-B (PIB), an amyloid-binding radiotracer, for positron emission tomography (PET). The current study was aimed to further validate PIB PET through quantitative imaging (arterial input) and inclusion of subjects with mild cognitive impairment (MCI). Pittsburgh Compound-B studies were performed in five AD, five MCI, and five control subjects and five subjects were retested within 20 days. Magnetic resonance images were acquired for partial volume correction and region-of-interest definition (e.g., posterior cingulate: PCG; cerebellum: CER). Data were analyzed using compartmental and graphical approaches. Regional distribution volume (DV) values were normalized to the reference region (CER) to yield DV ratios (DVRs). Good agreement was observed between compartmental and Logan DVR values (e.g., PCG: r=0.89, slope=0.91); the Logan results were less variable. Nonspecific PIB retention was similar across subjects (n=15, Logan CER DV: 3.63+/-0.48). Greater retention was observed in AD cortical areas, relative to controls (P<0.05). The PIB retention in MCI subjects appeared either 'AD-like' or 'control-like'. The mean test/retest variation was approximately 6% in primary areas-of-interest. The Logan analysis was the method-of-choice for the PIB PET data as it proved stable, valid, and promising for future larger studies and voxel-based statistical analyses. This study also showed that it is feasible to perform quantitative PIB PET imaging studies that are needed to validate simpler methods for routine use across the AD disease spectrum.

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Year:  2005        PMID: 15944649     DOI: 10.1038/sj.jcbfm.9600146

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  331 in total

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Authors:  Bruce R Reed; Natalie L Marchant; William J Jagust; Charles C DeCarli; Wendy Mack; Helena C Chui
Journal:  Neurobiol Aging       Date:  2011-11-10       Impact factor: 4.673

Review 2.  Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia.

Authors:  William E Klunk
Journal:  Neurobiol Aging       Date:  2011-12       Impact factor: 4.673

3.  Shapes of the trajectories of 5 major biomarkers of Alzheimer disease.

Authors:  Clifford R Jack; Prashanthi Vemuri; Heather J Wiste; Stephen D Weigand; Timothy G Lesnick; Val Lowe; Kejal Kantarci; Matt A Bernstein; Matthew L Senjem; Jeffrey L Gunter; Bradley F Boeve; John Q Trojanowski; Leslie M Shaw; Paul S Aisen; Michael W Weiner; Ronald C Petersen; David S Knopman
Journal:  Arch Neurol       Date:  2012-07

4.  Cerebrovascular disease, β-amyloid, and cognition in aging.

Authors:  Natalie L Marchant; Bruce R Reed; Charles S DeCarli; Cindee M Madison; Michael W Weiner; Helena C Chui; William J Jagust
Journal:  Neurobiol Aging       Date:  2011-11-01       Impact factor: 4.673

Review 5.  Positron emission tomography imaging in neurological disorders.

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Journal:  J Neurol       Date:  2012-09       Impact factor: 4.849

6.  Amyloid and metabolic positron emission tomography imaging of cognitively normal adults with Alzheimer's parents.

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Journal:  Neurobiol Aging       Date:  2012-04-11       Impact factor: 4.673

7.  Molecular imaging of serotonin degeneration in mild cognitive impairment.

Authors:  Gwenn S Smith; Frederick S Barrett; Jin Hui Joo; Najlla Nassery; Alena Savonenko; Devin J Sodums; Christopher M Marano; Cynthia A Munro; Jason Brandt; Michael A Kraut; Yun Zhou; Dean F Wong; Clifford I Workman
Journal:  Neurobiol Dis       Date:  2017-05-13       Impact factor: 5.996

8.  Association of gray matter atrophy with age, β-amyloid, and cognition in aging.

Authors:  Hwamee Oh; Cindee Madison; Sylvia Villeneuve; Candace Markley; William J Jagust
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

9.  Comparison of dual-biomarker PIB-PET and dual-tracer PET in AD diagnosis.

Authors:  Liping Fu; Linwen Liu; Jinming Zhang; Baixuan Xu; Yong Fan; Jiahe Tian
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

10.  Brain imaging of cognitively normal individuals with 2 parents affected by late-onset AD.

Authors:  Lisa Mosconi; John Murray; Wai H Tsui; Yi Li; Nicole Spector; Alexander Goldowsky; Schantel Williams; Ricardo Osorio; Pauline McHugh; Lidia Glodzik; Shankar Vallabhajosula; Mony J de Leon
Journal:  Neurology       Date:  2014-02-12       Impact factor: 9.910

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