Appropriate use criteria for amyloid PET: a report of the amyloid imaging task force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association
Open accessAbstract
Positron emission tomography (PET) of brain amyloid b is a technology that is becoming more available, but its clinical utility in medical practice requires careful definition. To provide guidance to dementia care practitioners, patients, and caregivers, the Alzheimer's Association and the Society of Nuclear Medicine and Molecular Imaging convened the Amyloid Imaging Taskforce (AIT). The AIT considered a broad range of specific clinical scenarios in which amyloid PET could potentially be used appropriately. Peer-reviewed, published literature was searched to ascertain available evidence relevant to these scenarios, and the AIT developed a consensus of expert opinion. Although empirical evidence of impact on clinical outcomes is not yet available, a set of specific appropriate use criteria (AUC) were agreed on that define the types of patients and clinical circumstances in which amyloid PET could be used. Both appropriate and inappropriate uses were considered and formulated,and are reported and discussed here. Because both dementia care and amyloid PET technology are in active development, these AUC will require periodic reassessment. Future research directions are also outlined, including diagnostic utility and patient-centered outcomes.
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Clinical use of AD CSF and PET biomarkers are not currently indicated in most symptomatic individuals to include or exclude AD pathology.
“However, clinical use of AD CSF and PET biomarkers are not currently indicated in most symptomatic individuals to include or exclude AD pathology.”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [10]
AD CSF and PET biomarkers are reserved for atypical, rapidly progressive, or early-onset syndromes, or when comprehensive evaluation is inconclusive.
“These tests are reserved for atypical, rapidly progressive, or early-onset syndromes, or when comprehensive evaluation is inconclusive.10,11”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [10]
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Mok, V., Leung, E. Y. L., Chu, W., Chen, S., Wong, A., Xiong, Y., Lam, W., Ho, C. L., & Wong, K. S. (2010) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2009.12.014 · Cited by 52 · see citing works
Assessment of mild dementia with amyloid and dopamine terminal positron emission tomography
Burke, J. F., Albin, R. L., Koeppe, R. A., Giordani, B., Kilbourn, M. R., Gilman, S., & Frey, K. A. (2011) · Brain · doi:10.1093/brain/awr089 · Cited by 48 · see citing works
Ly, J. V., Rowe, C. C., Villemagne, V. L., Zavala, J. A., Ma, H., O'Keefe, G. J., Gong, S. J., Gunawan, R., Churilov, L. P., Saunder, T., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22072 · Cited by 34 · see citing works
Self-citationBlendon, R. J., Benson, J. M., Wikler, E., Weldon, K. J., Georges, J., Baumgart, M., & Kallmyer, B. A. (2012) · International Journal of Alzheimer s Disease · doi:10.1155/2012/903645 · Cited by 33 · see citing works
FDG-PET and molecular brain imaging in the movement disorders clinic
Bohnen, N. I., & Minoshima, S. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1be1 · Cited by 20 · see citing works
Self-citationWey, S., Weng, C.-C., Lin, K., et al. (2009) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2009.01.013 · Cited by 13 · see citing works
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Dementia prevention, intervention, and care
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2020 Alzheimer's disease facts and figures
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2018 Alzheimer's disease facts and figures
Alzheimer's Association (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.001 · Cited by 1,912 · see citing works
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Rabinovici, G. D., Gatsonis, C., Apgar, C., Chaudhary, K., Gareen, I., Hanna, L., Hendrix, J., Hillner, B. E., Olson, C., Lesman-Segev, O. H., et al. (2019) · JAMA · doi:10.1001/jama.2019.2000 · Cited by 674 · see citing works
Self-citationStrategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers
Frisoni, G. B., Boccardi, M., Barkhof, F., Blennow, K., Cappa, S., Chiotis, K., Démonet, J.-F., Garibotto, V., Giannakopoulos, P., Gietl, A., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30159-x · Cited by 626 · see citing works
Self-citationThe Alzheimer’s Disease Clinical Spectrum
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“These tests are reserved for atypical, rapidly progressive, or early-onset syndromes, or when comprehensive evaluation is inconclusive.(10,11) In relatively typical cases, an individualized approach to history, examination, and selected laboratory”
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Self-citationCurtis, C., Gamez, J. E., Singh, U., Sadowsky, C. H., Villena, T., Sabbagh, M. N., Beach, T. G., Duara, R., Fleisher, A. S., Frey, K. A., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4144 · Cited by 332 · see citing works
La Joie, R., Ayakta, N., Seeley, W. W., Borys, E., Boxer, A. L., DeCarli, C., Doré, V., Grinberg, L. T., Huang, E., Hwang, J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.001 · Cited by 317 · see citing works
Self-citationAndrieu, S., Coley, N., Lovestone, S., Aisen, P. S., & Vellas, B. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00153-2 · Cited by 293 · see citing works
Shaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266 · see citing works
Self-citationPathogenesis of synaptic degeneration in Alzheimer's disease and Lewy body disease
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Quantification of amyloid PET for future clinical use: a state-of-the-art review
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Rowe, C. C., Bourgeat, P., Ellis, K. A., Brown, B., Lim, Y. Y., Mulligan, R., Jones, G., Maruff, P., Woodward, M., Price, R., et al. (2013) · Annals of Neurology · doi:10.1002/ana.24040 · Cited by 222 · see citing works
Self-citationDesigning the next-generation clinical care pathway for Alzheimer’s disease
Hampel, H., Au, R., Mattke, S., van der Flier, W. M., Aisen, P., Apostolova, L., Chen, C., Cho, M., De Santi, S., Gao, P., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00269-x · Cited by 191 · see citing works
Amadoru, S., Doré, V., McLean, C. A., Hinton, F., Shepherd, C. E., Halliday, G. M., Leyton, C. E., Yates, P. A., Hodges, J. R., Masters, C. L., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00587-5 · Cited by 181 · see citing works
Self-citationAnti-amyloid antibody therapies in Alzheimer's disease
Perneczky, R., Jessen, F., Grimmer, T., Levin, J., Flöel, A., Peters, O., & Froelich, L. (2023) · Brain · doi:10.1093/brain/awad005 · Cited by 182 · see citing works
Alzheimer’s disease profiled by fluid and imaging markers: tau PET best predicts cognitive decline
Bucci, M., Chiotis, K., Nordberg, A., & Initiative, F. T. A. D. N. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01263-2 · Cited by 140 · see citing works
Mild to moderate Alzheimer dementia with insufficient neuropathological changes
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Self-citationDepressive symptoms accelerate cognitive decline in amyloid-positive MCI patients
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Recent Updates on Subcortical Ischemic Vascular Dementia
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Phenotypic heterogeneity in dementia: a challenge for epidemiology and biomarker studies
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Anti-amyloid-β protein agents for the treatment of Alzheimer’s disease: an update on emerging drugs
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Atypical Alzheimer Disease Variants
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- Authors
- Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., Hedrick, S., Pappas, V., & Thies, W. H.
- Affiliations
- Harvard University (US)
- University of Washington (US)
- University of Michigan (US)
- Beth Israel Deaconess Medical Center (US)
- University of Utah (US)
- National Institutes of Health (US)
- University of Pennsylvania (US)
- Austin Hospital (AU)
- Division of Medical and Scientific Relations Alzheimer's Association Chicago IL USA
- Alzheimer's Association (US)
- Society of Nuclear Medicine and Molecular Imaging (US)
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 9
- Issue
- 1
- Pages
- e-1
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3733252
- OpenAlex
- W2103346709
- Cited by
- 603
- References
- 79
- Citations by year
- 2026: 25 · 2025: 43 · 2024: 39 · 2023: 41 · 2022: 48 · 2021: 44 · 2020: 59 · 2019: 47 · 2018: 57 · 2017: 48 · 2016: 51 · 2015: 45 · 2014: 30 · 2013: 26
- FWCI
- 35.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- Alzheimer's Association
- Society of Nuclear Medicine and Molecular Imaging
- National Institute on Aging (R01AG027435, R01AG037497, P50AG005134, P01AG036694)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- amyloid PET, brain amyloid imaging
- MeSH terms
- Alzheimer Disease, Brain, Humans, Nuclear Medicine, Amyloid beta-Peptides, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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