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Impact of molecular imaging on the diagnostic process in a memory clinic
Open accessAbstract
Background: [ 11 C]Pittsburgh compound B ([ 11 C]PIB) and [ 18 F]‐2‐fluoro‐2‐deoxy‐D‐glucose ([ 18 F]FDG) PET measure fibrillar amyloid‐β load and glucose metabolism, respectively. We evaluated the impact of these tracers on the diagnostic process in a memory clinic population. Methods: One hundred fifty‐four patients underwent paired dynamic [ 11 C]PIB and static [ 18 F]FDG PET scans shortly after completing a standard dementia screening. Two‐year clinical follow‐up data were available for 39 patients. Parametric PET images were assessed visually and results were reported to the neurologists responsible for the initial diagnosis. Outcome measures were (change in) clinical diagnosis and confidence in that diagnosis before and after disclosing PET results. Results: [ 11 C]PIB scans were positive in 40 of 66 (61%) patients with a clinical diagnosis of Alzheimer's disease (AD), 5 of 18 (28%) patients with frontotemporal dementia (FTD), 4 of 5 (80%) patients with Lewy body dementia, and 3 of 10 (30%) patients with other dementias. [ 18 F]FDG uptake patterns matched the clinical diagnosis in 38 of 66 (58%) of AD patients, and in 6 of 18 (33%) FTD patients. PET results led to a change in diagnosis in 35 (23%) patients. This only occurred when prior diagnostic certainty was <90%. Diagnostic confidence increased from 71 ± 17% before to 87 ± 16% after PET ( p < .001). Two‐year clinical follow‐up ( n = 39) showed that [ 11 C]PIB and [ 18 F]FDG predicted progression to AD for patients with mild cognitive impairment, and that the diagnosis of dementia established after PET remained unchanged in 96% of patients. Conclusions: In a memory clinic setting, combined [ 11 C]PIB and [ 18 F]FDG PET are of additional value on top of the standard diagnostic work‐up, especially when prior diagnostic confidence is low.
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“and a similar proportion has normal amyloid PET or CSF Aβ42 studies [53–62].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [59]
In the citing paper
“It is part of the biomarker screening in the AD diagnostic criteria and can help particularly in the diagnosis of young onset AD and differentiate from other dementias such as bvFTD [156, 157].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [157]
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“It is part of the biomarker screening in the AD diagnostic criteria and can help particularly in the diagnosis of young onset AD and differentiate from other dementias such as bvFTD [156, 157].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [157]
Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Self-citationAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Self-citationDiagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069
Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria
Neary, D., Snowden, J. S., Gustafson, L., Passant, U., Stuss, D., Black, S., Freedman, M., Kertesz, A., Robert, P. H., Albert, M., et al. (1998) · Neurology · doi:10.1212/wnl.51.6.1546 · Cited by 5,047
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Self-citationLitvan, I., Agid, Y., Calne, D., Campbell, G., Dubois, B., Duvoisin, R. C., Goetz, C. G., Golbe, L. I., Grafman, J., Growdon, J. H., et al. (1996) · Neurology · doi:10.1212/wnl.47.1.1 · Cited by 2,538
Positron Emission Tomography in Evaluation of Dementia
Silverman, D. H. S., Small, G. W., Chang, C. Y., Lu, C. S., de Aburto, M. A. K., Chen, W., Czernin, J. G., Rapoport, S. I., Pietrini, P., Alexander, G. E., et al. (2001) · JAMA · doi:10.1001/jama.286.17.2120 · Cited by 960
Discrimination 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
PET imaging of amyloid deposition in patients with mild cognitive impairment
Forsberg, A., Engler, H., Almkvist, O., Blomquist, G., Hagman, G., Wall, A. E., Ringheim, A., Långström, B., & Nordberg, A. K. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.029 · Cited by 725
Comparing predictors of conversion and decline in mild cognitive impairment
Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., Jack, C. R., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e8e8b8 · Cited by 616
Galton, C. J. (2000) · Brain · doi:10.1093/brain/123.3.484 · Cited by 613
Chételat, G., Desgranges, B., Sayette, V. D. L., Viader, F., Eustache, F., & Baron, J. (2003) · Neurology · doi:10.1212/01.wnl.0000055847.17752.e6 · Cited by 606
Siebner, H. R., Riemenschneider, M. J., Willoch, F., Minoshima, S., Schwaiger, M., Kurz, A., Drzezga, A. E., & Lautenschlager, N. T. (2003) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-003-1194-1 · Cited by 603
Conversion of amyloid positive and negative MCI to AD over 3 years
Okello, A., Koivunen, J., Edison, P., Archer, H. A., Turkheimer, F., Någren, K., Bullock, R. M., Walker, Z., Kennedy, A. M., Fox, N. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b23564 · Cited by 537
Frontotemporal dementia: Clinicopathological correlations
Forman, M. S., Farmer, J., Johnson, J. K., Clark, C. M., Arnold, S. E., Coslett, H. B., Chatterjee, A., Hurtig, H. I., Karlawish, J. H., Rosen, H. J., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20873 · Cited by 478
Morris, J. C., Roe, C. M., Grant, E. A., Head, D., Storandt, M., Goate, A. M., Fagan, A. M., Holtzman, D. M., & Mintun, M. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.269 · Cited by 476
Imaging amyloid deposition in Lewy body diseases
Gomperts, S. N., Rentz, D. M., Moran, E., Becker, J. A., Locascio, J. J., Klunk, W. E., Mathis, C. A., Elmaleh, D. R., Shoup, T., Fischman, A. J., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000326146.60732.d6 · Cited by 443
Noise Reduction in the Simplified Reference Tissue Model for Neuroreceptor Functional Imaging
Wu, Y., & Carson, R. (2002) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1097/01.wcb.0000033967.83623.34 · Cited by 440
Clinical and pathological evidence for a frontal variant of Alzheimer disease.
Johnson, J., Head, E., Kim, R., Starr, A., & Cotman, C. (1999) · Archives of Neurology · doi:10.1001/archneur.56.10.1233 · Cited by 435
Svarer, C., Madsen, K., Hasselbalch, S. G., Pinborg, L. H., Haugbøl, S., Frøkjær, V. G., Holm, S., Paulson, O. B., & Knudsen, G. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.017 · Cited by 383
Leyton, C. E., Villemagne, V. L., Savage, S. A., Pike, K. E., Ballard, K. J., Piguet, O., Burrell, J. R., Rowe, C. C., & Hodges, J. R. (2011) · Brain · doi:10.1093/brain/awr216 · Cited by 322
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
Regional cerebral glucose metabolism in dementia with Lewy bodies and Alzheimer's disease
Ishii, K., Imamura, T., Sasaki, M., Yamaji, S., Sakamoto, S., Kitagaki, H., Hashimoto, M., Hirono, N., Shimomura, T., & Mori, E. (1998) · Neurology · doi:10.1212/wnl.51.1.125 · Cited by 306
Cortical Lewy body pathology in the diagnosis of dementia
Harding, A. J., & Halliday, G. M. (2001) · Acta Neuropathologica · doi:10.1007/s004010100390 · Cited by 298
Ng, S., Villemagne, V. L., Berlangieri, S. U., Lee, S.-T., Cherk, M. H., Gong, S., Ackermann, U., Saunder, T., Tochon‐Danguy, H., Jones, G. R., et al. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.106.037762 · Cited by 258
(1998) · PubMed · Cited by 213
Leinonen, V. (2008) · Archives of Neurology · doi:10.1001/archneur.65.10.noc80013 · Cited by 199
Amyloid PET imaging in patients with mild cognitive impairment: A 2-year follow-up study
Koivunen, J., Scheinin, N., Virta, J. R., Aalto, S., Vahlberg, T., Någren, K., Helin, S., Parkkola, R., Viitanen, M., & Rinne, J. O. (2011) · Neurology · doi:10.1212/wnl.0b013e318212015e · Cited by 188
Identification of pure subcortical vascular dementia using 11 C-Pittsburgh compound B
Lee, J. H., Kim, S. H., Kim, G. H., Seo, S. W., Park, H. K., Oh, S. J., Kim, J. S., Cheong, H. K., & Na, D. L. (2011) · Neurology · doi:10.1212/wnl.0b013e318221acee · Cited by 179
Longitudinal imaging of Alzheimer pathology using [11C]PIB, [18F]FDDNP and [18F]FDG PET
Ossenkoppele, R., Tolboom, N., Foster‐Dingley, J. C., Adriaanse, S. F., Boellaard, R., Yaqub, M. M., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., Scheltens, P., et al. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2102-3 · Cited by 164
Self-citationDetection of Alzheimer Pathology In Vivo Using Both 11C-PIB and 18F-FDDNP PET
Tolboom, N., Yaqub, M. M., van der Flier, W. M., Boellaard, R., Luurtsema, G., Windhorst, A. D., Barkhof, F., Scheltens, P., Lammertsma, A. A., & van Berckel, B. N. M. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.056499 · Cited by 119
Self-citationSimplified parametric methods for [11C]PIB studies
Yaqub, M. M., Tolboom, N., Boellaard, R., van Berckel, B. N. M., van Tilburg, E. W., Luurtsema, G., Scheltens, P., & Lammertsma, A. A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.251 · Cited by 88
Self-citationTolboom, N., van der Flier, W. M., Boverhoff, J., Yaqub, M. M., Wattjes, M. P., Raijmakers, P. G. H. M., Barkhof, F., Scheltens, P., Herholz, K., Lammertsma, A. A., et al. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.194779 · Cited by 59
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NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537
Self-citationTau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease
Ossenkoppele, R., Schonhaut, D. R., Schöll, M., Lockhart, S. N., Ayakta, N., Baker, S. L., O’Neil, J. P., Janabi, M., Lazaris, A., Cantwell, A., et al. (2016) · Brain · doi:10.1093/brain/aww027 · Cited by 1,185
Self-citationPrevalence of Amyloid PET Positivity in Dementia Syndromes: A Meta-analysis
Ossenkoppele, R., Jansen, W. J., Rabinovici, G. D., Knol, D. L., van der Flier, W. M., van Berckel, B. N. M., Scheltens, P., Visser, P. J., Verfaillie, S. C. J., Zwan, M. D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4669 · Cited by 677
Self-citationOssenkoppele, R., Pijnenburg, Y. A. L., Perry, D. C., Cohn-Sheehy, B. I., Scheltens, N. M. E., Vogel, J. W., Kramer, J. H., van der Vlies, A. E., Joie, R. L., Rosen, H. J., et al. (2015) · Brain · doi:10.1093/brain/awv191 · Cited by 548
Self-citationA clinicopathological approach to the diagnosis of dementia
Elahi, F. M., & Miller, B. L. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.96 · Cited by 425
Metadata
- Authors
- 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., Verhey, F. R. J., Verbeek, M. M., van Buchem, M. A., Hoekstra, O. S., Lammertsma, A. A., Scheltens, P., & van Berckel, B. N. M.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Maastricht University Medical Centre (NL)
- Radboud University Medical Center (NL)
- Leiden University Medical Center (NL)
- Corresponding author
- Ossenkoppele, Rik
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2012-11-19
- Volume
- 9
- Issue
- 4
- Pages
- 414-421
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2137348301
- Cited by
- 194
- References
- 37
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 8 · 2023: 10 · 2022: 7 · 2021: 19 · 2020: 16 · 2019: 21 · 2018: 20 · 2017: 18 · 2016: 16 · 2015: 26 · 2014: 12 · 2013: 10
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Pure Amsterdam UMC (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- Center for Translational Molecular Medicine (02N-101)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- amyloid PET, Pittsburgh compound B
- MeSH terms
- Aged, Alzheimer Disease, Aniline Compounds, Brain, Carbon Radioisotopes, Dementia, Diagnosis, Differential, Female, Fluorine Radioisotopes, Follow-Up Studies, France, Humans, Male, Memory Disorders, Middle Aged, Outpatient Clinics, Hospital, Prospective Studies, Sensitivity and Specificity, Thiazoles, Treatment Outcome, Disease Progression, Radiopharmaceuticals, Fluorodeoxyglucose F18, Lewy Body Disease, Early Diagnosis, Positron-Emission Tomography, Molecular Imaging, Frontotemporal Dementia
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