The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Visual Assessment Versus Quantitative Assessment of 11C-PIB PET and 18F-FDG PET for Detection of Alzheimer's Disease
Open accessAbstract
UNLABELLED: Amyloid-beta (Abeta) imaging with N-methyl-(11)C-2-(4'-methylamino-phenyl)-6-hydroxy-benzothiazole ((11)C-6-OH-BTA-1; also known as (11)C-PIB) shows a robust increase in cortical binding in Alzheimer's disease (AD). The aim of this study was to explore the clinical potential of Abeta imaging for the diagnosis of AD by comparison of the accuracy of visual reading of (11)C-PIB images with quantitative analysis and (18)F-FDG. METHODS: Fifteen AD patients (age, 71.1 +/- 11.3 y [mean +/- SD]; mini-mental state examination [MMSE], 18.9 +/- 9.3 [mean +/- SD]) and 25 healthy control (HC) subjects (age, 71.9 +/- 6.82 y; MMSE >or= 28) underwent 90-min dynamic (11)C-PIB PET and 20-min static (18)F-FDG PET. (11)C-PIB images, generated from data acquired between 40 and 70 min after injection, and (18)F-FDG images were rated separately by 2 readers as normal, possible AD, or probable AD. Quantitative analyses used the distribution volume ratio (DVR) of frontal cortex, parietotemporal cortex, posterior cingulate, and caudate nucleus for (11)C-PIB and standardized uptake value ratio (SUVR) of parietotemporal cortex and posterior cingulate for (18)F-FDG, using cerebellar cortex as the reference region. Receiver-operating-characteristic (ROC) analysis was performed to compare the accuracy of quantitative measures. To determine the effect of age on diagnostic accuracy, the median age of the AD subjects (74 y) was chosen to separate the cohort into younger (64.4 +/- 5.8 y) and older (78.6 +/- 4.1 y) groups. RESULTS: Visual agreement between readers was excellent for (11)C-PIB (kappa = 0.90) and good for (18)F-FDG (kappa = 0.56). (11)C-PIB was more accurate than (18)F-FDG both on visual reading (accuracy, 90% vs. 70%, P = 0.05) and ROC analysis (95% vs. 83%, P = 0.02). Accuracy declined more with (18)F-FDG than with (11)C-PIB in the older group. CONCLUSION: Visual analysis of (11)C-PIB images appears more accurate than visual reading of (18)F-FDG for identification of AD and has accuracy similar to quantitative analysis of a 90-min dynamic scan. The accuracy of (11)C-PIB PET is limited by cortical binding in some healthy elderly subjects, consistent with postmortem studies of cerebral Abeta. Longitudinal follow-up is required to determine if this represents detection of preclinical AD.
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Cites
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802
Arnold, S. E., Hyman, B. T., Flory, J., Damasio, A. R., & Van Hoesen, G. W. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.103 · Cited by 1,380
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336
[ 11 C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036
Self-citationDiscrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
Herholz, K., Salmon, E., Perani, D., Baron, J.-C., Holthoff, V., Frölich, L., Schönknecht, P., Ito, K., Mielke, R., & Kalbe, E. (2002) · NeuroImage · doi:10.1006/nimg.2002.1208 · Cited by 832
Morris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513
HULETTE, C. M., WELSH-BOHMER, K. A., MURRAY, M. G., SAUNDERS, A. M., MASH, D. C., & MCINTYRE, L. M. (1998) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199812000-00009 · Cited by 311
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Koronyo-Hamaoui, M., Koronyo, Y., Ljubimov, A. V., Miller, C. A., Ko, M. K., Black, K. L., Schwartz, M., & Farkas, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.020 · Cited by 672
Aβ amyloid and glucose metabolism in three variants of primary progressive aphasia
Rabinovici, G. D., Jagust, W. J., Furst, A. J., Ogar, J. M., Racine, C. A., Mormino, E. C., O'Neil, J. P., Lal, R. A., Dronkers, N. F., Miller, B. L., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21451 · Cited by 477
Amyloid vs FDG-PET in the differential diagnosis of AD and FTLD
Rabinovici, G. D., Rosen, H. J., Alkalay, A., Kornak, J., Furst, A. J., Agarwal, N., Mormino, E. C., O'Neil, J. P., Janabi, M., Karydas, A., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31823b9c5e · Cited by 318
Li, Y., Rinne, J. O., Mosconi, L., Pirraglia, E., Rusinek, H., DeSanti, S., Kemppainen, N., Någren, K., Kim, B.-C., Tsui, W., et al. (2008) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-008-0833-y · Cited by 278
Impact of molecular imaging on the diagnostic process in a memory clinic
Ossenkoppele, R., Prins, N. D., Pijnenburg, Y. A. L., Lemstra, A. W., van der Flier, W. M., Adriaanse, S. F., Windhorst, A. D., Handels, R. L. H., Wolfs, C. A. G., Aalten, P., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.07.003 · Cited by 194
Metadata
- Authors
- Ng, S., Villemagne, V. L., Berlangieri, S., Lee, S.-T., Cherk, M., Gong, S. J., Ackermann, U., Saunder, T., Tochon-Danguy, H., Jones, G., Smith, C., O'Keefe, G., Masters, C. L., & Rowe, C. C.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2007-04-01
- Volume
- 48
- Issue
- 4
- Pages
- 547-552
- ISSN
- 0161-5505 (ISSN-L)
- OpenAlex
- W2046601821
- Cited by
- 258
- References
- 8
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ng, S., Villemagne, V. L., Berlangieri, S., Lee, S.-T., Cherk, M., Gong, S. J., Ackermann, U., Saunder, T., Tochon-Danguy, H., Jones, G., Smith, C., O'Keefe, G., Masters, C. L., & Rowe, C. C. (2007). Visual Assessment Versus Quantitative Assessment of 11C-PIB PET and 18F-FDG PET for Detection of Alzheimer's Disease. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.106.037762
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