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

Overview

Journal J Nucl Med

Specialty Nuclear Medicine

Date 2008 Jul 18

PMID 18632806

Citations 17

Authors

Arthur Mikhno

Davangere Devanand

Gregory Pelton

Katrina Cuasay

Roger Gunn

Neil Upton

Robert Y Lai

Vincenzo Libri

J John Mann

Ramin V Parsey

Affiliations

Soon will be listed here.

Abstract

Unlabelled: 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-beta (Abeta), 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.

Citing Articles

Partial Volume Correction Increases the Sensitivity of 18F-Florbetapir-Positron Emission Tomography for the Detection of Early Stage Amyloidosis.

Teipel S, Dyrba M, Vergallo A, Lista S, Habert M, Potier M Front Aging Neurosci. 2022; 13:748198.

PMID: 35002673 PMC: 8729321. DOI: 10.3389/fnagi.2021.748198.

Reshaping the Amyloid Buildup Curve in Alzheimer Disease? Partial-Volume Effect Correction of Longitudinal Amyloid PET Data.

Rullmann M, McLeod A, Grothe M, Sabri O, Barthel H J Nucl Med. 2020; 61(12):1820-1824.

PMID: 32358089 PMC: 9364900. DOI: 10.2967/jnumed.119.238477.

Voxel-based statistical analysis and quantification of amyloid PET in the Japanese Alzheimer's disease neuroimaging initiative (J-ADNI) multi-center study.

Akamatsu G, Ikari Y, Ohnishi A, Matsumoto K, Nishida H, Yamamoto Y EJNMMI Res. 2019; 9(1):91.

PMID: 31535240 PMC: 6751233. DOI: 10.1186/s13550-019-0561-2.

Neuroimaging of Alzheimer's disease: focus on amyloid and tau PET.

Matsuda H, Shigemoto Y, Sato N Jpn J Radiol. 2019; 37(11):735-749.

PMID: 31493197 DOI: 10.1007/s11604-019-00867-7.

Impact of partial volume correction on the regional correspondence between in vivo [C-11]PiB PET and postmortem measures of Aβ load.

Minhas D, Price J, Laymon C, Becker C, Klunk W, Tudorascu D Neuroimage Clin. 2018; 19:182-189.

PMID: 30023168 PMC: 6050460. DOI: 10.1016/j.nicl.2018.04.007.

References

Meltzer C, Kinahan P, Greer P, Nichols T, Comtat C, Cantwell M . Comparative evaluation of MR-based partial-volume correction schemes for PET. J Nucl Med. 2000; 40(12):2053-65. View

Mosconi L, Tsui W, De Santi S, Li J, Rusinek H, Convit A . Reduced hippocampal metabolism in MCI and AD: automated FDG-PET image analysis. Neurology. 2005; 64(11):1860-7. DOI: 10.1212/01.WNL.0000163856.13524.08. View

Links J, Prince J, Bryan R, McVeigh E, Leal J, Davatzikos C . Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects. J Cereb Blood Flow Metab. 1992; 12(4):571-83. DOI: 10.1038/jcbfm.1992.81. View

Ziolko S, Weissfeld L, Klunk W, Mathis C, Hoge J, Lopresti B . Evaluation of voxel-based methods for the statistical analysis of PIB PET amyloid imaging studies in Alzheimer's disease. Neuroimage. 2006; 33(1):94-102. DOI: 10.1016/j.neuroimage.2006.05.063. View

Kemppainen N, Aalto S, Wilson I, Nagren K, Helin S, Bruck A . PET amyloid ligand [11C]PIB uptake is increased in mild cognitive impairment. Neurology. 2007; 68(19):1603-6. DOI: 10.1212/01.wnl.0000260969.94695.56. View

Royall D, Gao J, Kellogg Jr D . Insular Alzheimer's disease pathology as a cause of "age-related" autonomic dysfunction and mortality in the non-demented elderly. Med Hypotheses. 2006; 67(4):747-58. DOI: 10.1016/j.mehy.2005.10.036. View

Foundas A, Eure K, SELTZER B . Conventional MRI volumetric measures of parietal and insular cortex in Alzheimer's disease. Prog Neuropsychopharmacol Biol Psychiatry. 1996; 20(7):1131-44. DOI: 10.1016/s0278-5846(96)00101-7. View

Thal D, Rub U, Orantes M, Braak H . Phases of A beta-deposition in the human brain and its relevance for the development of AD. Neurology. 2002; 58(12):1791-800. DOI: 10.1212/wnl.58.12.1791. View

Klunk W, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt D . Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B. Ann Neurol. 2004; 55(3):306-19. DOI: 10.1002/ana.20009. View

10.

Hoffman E, Huang S, Phelps M . Quantitation in positron emission computed tomography: 1. Effect of object size. J Comput Assist Tomogr. 1979; 3(3):299-308. DOI: 10.1097/00004728-197906000-00001. View

11.

Chetelat G, Landeau B, Eustache F, Mezenge F, Viader F, De La Sayette V . Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. Neuroimage. 2005; 27(4):934-46. DOI: 10.1016/j.neuroimage.2005.05.015. View

12.

Logan J, Fowler J, Volkow N, Ding Y, Wang G, Alexoff D . A strategy for removing the bias in the graphical analysis method. J Cereb Blood Flow Metab. 2001; 21(3):307-20. DOI: 10.1097/00004647-200103000-00014. View

13.

Jenkinson M, Smith S . A global optimisation method for robust affine registration of brain images. Med Image Anal. 2001; 5(2):143-56. DOI: 10.1016/s1361-8415(01)00036-6. View

14.

Smith S . Fast robust automated brain extraction. Hum Brain Mapp. 2002; 17(3):143-55. PMC: 6871816. DOI: 10.1002/hbm.10062. View

15.

Logan J, Fowler J, Volkow N, Wang G, Ding Y, Alexoff D . Distribution volume ratios without blood sampling from graphical analysis of PET data. J Cereb Blood Flow Metab. 1996; 16(5):834-40. DOI: 10.1097/00004647-199609000-00008. View

16.

Rusjan P, Mamo D, Ginovart N, Hussey D, Vitcu I, Yasuno F . An automated method for the extraction of regional data from PET images. Psychiatry Res. 2006; 147(1):79-89. DOI: 10.1016/j.pscychresns.2006.01.011. View

17.

Ng S, Villemagne V, Berlangieri S, Lee S, Cherk M, Gong S . Visual assessment versus quantitative assessment of 11C-PIB PET and 18F-FDG PET for detection of Alzheimer's disease. J Nucl Med. 2007; 48(4):547-52. DOI: 10.2967/jnumed.106.037762. View

18.

Mazziotta J, Toga A, Evans A, Fox P, Lancaster J . A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). Neuroimage. 1995; 2(2):89-101. DOI: 10.1006/nimg.1995.1012. View

19.

Meltzer C, Zubieta J, Brandt J, Tune L, Mayberg H, Frost J . Regional hypometabolism in Alzheimer's disease as measured by positron emission tomography after correction for effects of partial volume averaging. Neurology. 1996; 47(2):454-61. DOI: 10.1212/wnl.47.2.454. View

20.

Ashburner J, Friston K . Nonlinear spatial normalization using basis functions. Hum Brain Mapp. 1999; 7(4):254-66. PMC: 6873340. View