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First published online July 16, 2008, 10.2967/jnumed.107.049932
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Journal of Nuclear Medicine Vol. 49 No. 8 1262-1269
© 2008 by Society of Nuclear Medicine

doi: 10.2967/jnumed.107.049932

Clinical Investigation

Voxel-Based Analysis of 11C-PIB Scans for Diagnosing Alzheimer's Disease

Arthur Mikhno1, Davangere Devanand2,3, Gregory Pelton2,3, Katrina Cuasay3, Roger Gunn4, Neil Upton4, Robert Y. Lai4, Vincenzo Libri4, J. John Mann1,2 and Ramin V. Parsey1,2

1 Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, New York; 2 Columbia University, New York, New York; 3 Department of Geriatric Depression, New York State Psychiatric Institute, New York, New York; and 4 GlaxoSmithKline CPDM and Neurology-CEDD, Essex, United Kingdom

Correspondence: For correspondence or reprints contact: Arthur Mikhno, 1051 Riverside Dr., Manhattan, NY 10032. E-mail: am2679{at}columbia.edu

The positron emission tomography (PET) radioligand N-methyl-11C-2-(4-methylaminophenyl)-6-hydroxybenzothiazole (also known as 11C-6-OH-BTA-1 or 11C-PIB) binds to amyloid-β (Aβ), which accumulates pathologically in Alzheimer's disease (AD). Although 11C-PIB accumulation is greater in patients with AD than in healthy controls at a group level, the optimal method for discriminating between these 2 groups has, to our knowledge, not been established. We assessed the use of data-determined standardized voxels of interest (VOIs) to improve the classification capability of 11C-PIB scans on patients with AD. Methods: A total of 16 controls and 14 AD age-matched patients were recruited. All subjects underwent a 11C-PIB scan and structural MRI. Binding potential (a measure of amyloid burden) was calculated for each voxel using the Logan graphical method with cerebellar gray matter as the reference region. Voxel maps were then partial-volume corrected and spatially normalized by MRI onto a standardized template. The subjects were divided into 2 cohorts. The first cohort (control, 12; AD, 9) was used for statistical parametric mapping analysis and delineation of data-based VOIs. These VOIs were tested in the second cohort (control, 4; AD, 5) of subjects. Results: Statistical parametric mapping analysis revealed significant differences between control and AD groups. The VOI map determined from the first cohort resulted in complete separation between the control and the AD subjects in the second cohort (P < 0.02). Binding potential values based on this VOI were in the same range as other reported individual and mean cortical VOI results. Conclusion: A standardized VOI template that is optimized for control or AD group discrimination provides excellent separation of control and AD subjects on the basis of 11C-PIB uptake. This VOI template can serve as a potential replacement for manual VOI delineation and can eventually be fully automated, facilitating potential use in a clinical setting. To facilitate independent analysis and validation with more and a broader variety of subjects, this VOI template and the software for processing will be made available through the Internet.

Key Words: PET • PIB • Alzheimer's • diagnosis • voxel

COPYRIGHT © 2008 by the Society of Nuclear Medicine, Inc.


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