Defining imaging biomarker cut points for brain aging and Alzheimer's disease
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INTRODUCTION: Our goal was to develop cut points for amyloid positron emission tomography (PET), tau PET, flouro-deoxyglucose (FDG) PET, and MRI cortical thickness. METHODS: We examined five methods for determining cut points. RESULTS: The reliable worsening method produced a cut point only for amyloid PET. The specificity, sensitivity, and accuracy of cognitively impaired versus young clinically normal (CN) methods labeled the most people abnormal and all gave similar cut points for tau PET, FDG PET, and cortical thickness. Cut points defined using the accuracy of cognitively impaired versus age-matched CN method labeled fewer people abnormal. DISCUSSION: In the future, we will use a single cut point for amyloid PET (standardized uptake value ratio, 1.42; centiloid, 19) based on the reliable worsening cut point method. We will base lenient cut points for tau PET, FDG PET, and cortical thickness on the accuracy of cognitively impaired versus young CN method and base conservative cut points on the accuracy of cognitively impaired versus age-matched CN method.
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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 [138]
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18F‐AV‐1451 and CSF T‐tau and P‐tau as biomarkers in Alzheimer's disease
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White matter hyperintensity topography in Alzheimer's disease and links to cognition
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Self-citationBiomarker-Based Prediction of Longitudinal Tau Positron Emission Tomography in Alzheimer Disease
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Eligibility for Anti-Amyloid Treatment in a Population-Based Study of Cognitive Aging
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Self-citationUtilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies
Su, Y., Flores, S., Hornbeck, R. C., Speidel, B., Vlassenko, A. G., Gordon, B. A., Koeppe, R. A., Klunk, W. E., Xiong, C., Morris, J. C., et al. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.04.022 · Cited by 126 · see citing works
White matter hyperintensities across the adult lifespan: Relation to age, Aβ load, and cognition
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Predicting future rates of tau accumulation on PET
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Self-citationCross-sectional associations of tau-PET signal with cognition in cognitively unimpaired adults
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Self-citationCerebrospinal fluid tau fragment correlates with tau PET: a candidate biomarker for tangle pathology
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MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study
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<i>APOE</i> ε4 associates with microglial activation independently of Aβ plaques and tau tangles
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Challenges associated with biomarker‐based classification systems for Alzheimer's disease
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Self-citationComparison of CSF phosphorylated tau 181 and 217 for cognitive decline
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Self-citationProgressive agrammatic aphasia without apraxia of speech as a distinct syndrome
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Self-citationAssociations among locus coeruleus catecholamines, tau pathology, and memory in aging
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Multistate models and lifetime risk estimation: application to Alzheimer's disease
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Cognitive Reserve in Midlife is not Associated with Amyloid-β Deposition in Late-Life
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Self-citationFrontotemporal dementia: does structural MRI-based clustering match clinical syndromes?
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Self-citation
- Authors
- Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Gunter, J. L., Senjem, M. L., Jones, D. T., Kantarci, K., Machulda, M. M., Mielke, M. M., Roberts, R. O., Vemuri, P., Reyes, D. A., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Jack, Clifford R.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2016-09-30
- Volume
- 13
- Issue
- 3
- Pages
- 205-216
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC5344738
- OpenAlex
- W2529649944
- Cited by
- 931
- References
- 46
- Citations by year
- 2026: 108 · 2025: 119 · 2024: 162 · 2023: 114 · 2022: 97 · 2021: 111 · 2020: 81 · 2019: 64 · 2018: 52 · 2017: 21 · 2016: 1
- FWCI
- 40.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Health (R01 AG011378, R01 AG041851, U01 AG006786, R01 AG034676)
- 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
- imaging biomarkers, cut points
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amyloidosis, Aniline Compounds, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Sensitivity and Specificity, Thiazoles, Fluorodeoxyglucose F18, Positron-Emission Tomography
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