Multisite study of the relationships between antemortem [ 11 C]PIB‐PET Centiloid values and postmortem measures of Alzheimer's disease neuropathology
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Introduction: We sought to establish the relationships between standard postmortem measures of AD neuropathology and antemortem [ 11 C]PIB–positron emission tomography ([ 11 C]PIB‐PET) analyzed with the Centiloid (CL) method, a standardized scale for Aβ‐PET quantification. Methods: Four centers contributed 179 participants encompassing a broad range of clinical diagnoses, PET data, and autopsy findings. Results: CL values increased with each CERAD neuritic plaque score increment (median −3 CL for no plaques and 92 CL for frequent plaques) and nonlinearly with Thal Aβ phases (increases were detected starting at phase 2) with overlap between scores/phases. PET‐pathology associations were comparable across sites and unchanged when restricting the analyses to the 56 patients who died within 2 years of PET. A threshold of 12.2 CL detected CERAD moderate‐to‐frequent neuritic plaques (area under the curve = 0.910, sensitivity = 89.2%, specificity = 86.4%), whereas 24.4 CL identified intermediate‐to‐high AD neuropathological changes (area under the curve = 0.894, sensitivity = 84.1%, specificity = 87.9%). Discussion: Our study demonstrated the robustness of a multisite Centiloid [ 11 C]PIB‐PET study and established a range of pathology‐based CL thresholds.
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PET scans were read as positive or negative using a method previously described and validated against neuropathology.
“PET scans were read as positive or negative, as previously described and validated against neuropathology.27”
From Plasma Tau and Neurofilament Light in Frontotemporal Lobar Degeneration and Alzheimer Disease (2021) · cites this paper as [27]
The Results (Complementary analyses; page unavailable) describe clinicians reading PET scans as positive or negative. The Discussion (Pathology-based thresholds; page unavailable) validates a quantitative Centiloid threshold against neuropathology and compares it with visual reads, but does not establish that the visual-reading method itself was validated against neuropathology. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe 12-Centiloid threshold is the optimal cut-off validated in neuropathology to detect CERAD moderate-to-frequent neuritic plaque scores, early detection of Aβ abnormalities by PET, and agreement against CSF AD biomarkers.
“The 12-Centiloid threshold is the optimal cut-off validated in neuropathology to detect CERAD moderate-to-frequent, neuritic plaque scores19, early detection of Aβ abnormalities by PET22 and agreement against CSF AD biomarkers18.”
From Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease (2022) · cites this paper as [19]
A level of 20 centiloids or less is an accepted threshold for amyloid negativity.
“From this work, ≤20 CL is an accepted threshold for amyloid negativity.”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [85]
Amyloid PET ligands display 85%-98% sensitivity and 87%-100% specificity for Aβ plaques against postmortem CERAD or NIA-AA standards.
“18 F-flutemetamol, 18 F-florbetaben and 18 F-florbetapir tracers display 85%-98% sensitivity and 87%-100% specificity for Aβ plaques when using the postmortem truth standards of the Consortium to Establish a Registry for AD (CERAD) or the National Institute on Aging-Alzheimer's Association 85,[136][137][138] .”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [85]
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“In addition to these Ab centric scales, we studied AD neuropathologic change (ADNC) levels, which combine information from Ab (CERAD and Thal) and tau pathology (Braak staging [19]) into a global four-point summary scale recommended for AD neuropathologic diagnosis [20].”
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Concordance Between Amyloid-PET Quantification and Real-World Visual Reads
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Self-citation
- Authors
- La Joie, R., Ayakta, N., Seeley, W. W., Borys, E., Boxer, A. L., DeCarli, C., Doré, V., Grinberg, L. T., Huang, E., Hwang, J., Ikonomovic, M. D., Jack, C., Jagust, W. J., Jin, L., Klunk, W. E., Kofler, J., Lesman‐Segev, O. H., Lockhart, S. N., Lowe, V. J., Masters, C. L., Mathis, C. A., McLean, C. L., Miller, B. L., Mungas, D., O'Neil, J. P., Olichney, J. M., Parisi, J. E., Petersen, R. C., Rosen, H. J., Rowe, C. C., Spina, S., Vemuri, P., Villemagne, V. L., Murray, M. E., & Rabinovici, G. D.
- Affiliations
- Memory & Aging Center Department of Neurology University of California San Francisco CA USA
- University of California, San Francisco (US)
- Loyola University Chicago (US)
- University of California, Davis (US)
- Austin Health (AU)
- Department of Neurology University of Pittsburgh PA USA
- Mayo Clinic (US)
- University of California, Berkeley (US)
- University of Pittsburgh (US)
- Wake Forest University Health Sciences (US)
- The University of Melbourne (AU)
- The Alfred Hospital (AU)
- Helen Wills Neuroscience Institute University of California Berkeley CA USA
- ORCID
- Ayakta, Nagehan
- Seeley, William W.
- Boxer, Adam L.
- DeCarli, Charles
- Doré, Vincent
- Grinberg, Lea T.
- Huang, Eric
- Hwang, Ji‐Hye
- Jack, Clifford
- Jagust, William J.
- Klunk, William E.
- Kofler, Julia
- Lesman‐Segev, Orit H.
- Lockhart, Samuel N.
- Lowe, Val J.
- Masters, Colin L.
- Mathis, Chester A.
- McLean, Catriona L.
- Miller, Bruce L.
- Olichney, John M.
- Petersen, Ronald C.
- Rosen, Howard J.
- Rowe, Christopher C.
- Spina, Salvatore
- Vemuri, Prashanthi
- Villemagne, Victor L.
- Murray, Melissa E.
- Rabinovici, Gil D.
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2018-10-19
- Volume
- 15
- Issue
- 2
- Pages
- 205-216
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC6368897
- OpenAlex
- W2897964327
- Cited by
- 317
- References
- 47
- Citations by year
- 2026: 49 · 2025: 72 · 2024: 51 · 2023: 31 · 2022: 40 · 2021: 42 · 2020: 22 · 2019: 10
- FWCI
- 14.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Biogen
- Genentech
- GE Healthcare
- National Institutes of Health
- National Institute on Aging
- National Cancer Institute
- 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
- Alzheimer's disease, 11C-PiB PET
- MeSH terms
- Neuropathology, Aged, Alzheimer Disease, Aniline Compounds, Autopsy, Female, Humans, Male, Retrospective Studies, Thiazoles, Positron-Emission Tomography, Plaque, Amyloid
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.
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