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Diagnostic Accuracy of Amyloid and FDG PET in Pathologically-Confirmed Dementia (S8.005)
Abstract
OBJECTIVE: To assess the diagnostic accuracy of amyloid and FDG PET compared to pathology in a consecutive series of patients evaluated at an academic dementia clinic. BACKGROUND: Pathological validation studies of amyloid imaging have been conducted largely in end-of-life subjects that may not represent clinical practice. Few studies have compared amyloid PET with other diagnostic modalities. DESIGN/METHODS: 37 patients (mean age 66.5±8.8, MMSE 21.1±6.8) underwent PIB (all) and FDG (N=34) PET. Clinical diagnoses included Alzheimer’s disease (AD, N=10), frontotemporal dementia (FTD, N=24), mild cognitive impairment (N=2) and prion disease (N=1). PET scans were visually interpreted by two raters blinded to clinical diagnosis (PIB: positive or negative; FDG: AD or FTD). Pathologic diagnoses (2.9±1.8 years after PET; 36 autopsies and one biopsy) were based on standard research criteria. RESULTS: Pathologic diagnoses included: high-likelihood AD (N=9), FTD (N=24) and prion disease (N=1). Three patients met criteria for both high-likelihood AD and FTD - these cases were considered AD in evaluating PET performance. PIB reads had a sensitivity of 100% (both raters) and specificity of 88%-92% for AD. Mixed AD/FTD cases were all PIB+. Three of four PIB+ patients (by at least one rater) who did not meet high-likelihood AD criteria had frequent neuritic plaques (CERAD) and one had sparse neuritic but frequent diffuse plaques. FDG reads had a sensitivity of 83%-92% and specificity of 77%…
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Because of its high negative predictive value, absence of amyloid binding reliably points towards a non-Alzheimer's disease cause of dementia, such as bvFTD.
“Regarding amyloid imaging, because of its high negative predictive value, absence of amyloid binding reliably points towards a non-Alzheimer's disease cause of dementia, such as bvFTD (Rabinovici et al. , 2014).”
From Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders (2020) · cites this paper as Rabinovici et al. , 2014
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Metadata
- Authors
- Rabinovici, G., Lehmann, M., Rosen, H., Ghosh, P., Cohn-Sheehy, B., Trojanowski, J., Mendez, M., Vinters, H., Dickson, D., Gorno-Tempini, M., Boxer, A., Kramer, J., Miller, B., Grinberg, L., Seeley, W., & Jagust, W.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- University of California, San Francisco (US)
- Helen Wills Neuroscience Institute UC Berkeley Berkeley CA United States
- University of Pennsylvania (US)
- VA Greater Los Angeles Healthcare System (US)
- Los Angeles CA United States
- Mayo Clinic (US)
- UCSF Memory & Aging Center, Dept. of Neurology San Francisco CA United States
- ORCID
- Venue
- Neurology
- Published
- 2014-04-08
- Volume
- 82
- Issue
- 10_supplement
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W1881862985
- Cited by
- 5
- References
- 0
- Citations by year
- 2025: 2 · 2020: 1 · 2017: 1 · 2015: 1
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- FDG-PET, Alzheimer's disease, frontotemporal dementia, prion disease, mild cognitive impairment, Pib, diagnostic accuracy, neuritic plaques, positive predictive value, negative predictive value, sensitivity and specificity, autopsy neuropathology, CERAD
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