Cited by 472Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

Discriminative Accuracy of [ 18 F]flortaucipir Positron Emission Tomography for Alzheimer Disease vs Other Neurodegenerative Disorders

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Ossenkoppele, Rik, Rabinovici, Gil D., Smith, Ruben, Cho, Hanna, Schöll, Michael, Strandberg, Olof, Palmqvist, Sebastian, Mattsson, Niklas +14 more·2018·JAMA

Abstract

Importance: The positron emission tomography (PET) tracer [18F]flortaucipir allows in vivo quantification of paired helical filament tau, a core neuropathological feature of Alzheimer disease (AD), but its diagnostic utility is unclear. Objective: To examine the discriminative accuracy of [18F]flortaucipir for AD vs non-AD neurodegenerative disorders. Design, Setting, and Participants: In this cross-sectional study, 719 participants were recruited from 3 dementia centers in South Korea, Sweden, and the United States between June 2014 and November 2017 (160 cognitively normal controls, 126 patients with mild cognitive impairment [MCI], of whom 65.9% were amyloid-β [Aβ] positive [ie, MCI due to AD], 179 patients with AD dementia, and 254 patients with various non-AD neurodegenerative disorders). Exposures: The index test was the [18F]flortaucipir PET standardized uptake value ratio (SUVR) in 5 predefined regions of interest (ROIs). Cut points for tau positivity were determined using the mean +2 SDs observed in controls and Youden Index for the contrast AD dementia vs controls. Main Outcomes and Measures: The reference standard was the clinical diagnosis determined at the specialized memory centers. In the primary analysis, the discriminative accuracy (ie, sensitivity and specificity) of [18F]flortaucipir was examined for AD dementia vs all non-AD neurodegenerative disorders. In secondary analyses, the area under the curve (AUC) of [18F]flortaucipir SUVR was compared with 3 established magnetic resonance imaging measures (hippocampal volumes and AD signature and whole-brain cortical thickness), and sensitivity and specificity of [18F]flortaucipir in MCI due to AD vs non-AD neurodegenerative disorders were determined. Results: Among 719 participants, the overall mean (SD) age was 68.8 (9.2) years and 48.4% were male. The proportions of patients who were amyloid-β positive were 26.3%, 65.9%, 100%, and 23.8% among cognitively normal controls, patients with MCI, patients with AD dementia, and patients with non-AD neurodegenerative disorders, respectively. [18F]flortaucipir uptake in the medial-basal and lateral temporal cortex showed 89.9% (95% CI, 84.6%-93.9%) sensitivity and 90.6% (95% CI, 86.3%-93.9%) specificity using the threshold based on controls (SUVR, 1.34), and 96.8% (95% CI, 92.0%-99.1%) sensitivity and 87.9% (95% CI, 81.9%-92.4%) specificity using the Youden Index-derived cutoff (SUVR, 1.27) for distinguishing AD dementia from all non-AD neurodegenerative disorders. The AUCs for all 5 [18F]flortaucipir ROIs were higher (AUC range, 0.92-0.95) compared with the 3 volumetric MRI measures (AUC range, 0.63-0.75; all ROIs P < .001). Diagnostic performance of the 5 [18F]flortaucipir ROIs were lower in MCI due to AD (AUC range, 0.75-0.84). Conclusions and Relevance: Among patients with established diagnoses at a memory disorder clinic, [18F]flortaucipir PET was able to discriminate AD from other neurodegenerative diseases. The accuracy and potential utility of this test in patient care require further research in clinically more representative populations.

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Crossref · 10.1001/jama.2018.12917

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  • Structural MRI represents a relatively lower-cost alternative to spatially measure in vivo neurodegeneration, but it is substantially less specific to AD pathology compared to PET.

    “Structural magnetic resonance imaging (MRI) represents a relatively lower‐cost alternative to spatially measure in vivo neurodegeneration, but it is substantially less specific to AD pathology compared to PET. 5 , 6 , 7 , 8”

    From Machine learning prediction of tau‐PET in Alzheimer's disease using plasma, MRI, and clinical data (2025) · cites this paper as [5]

    The introduction identifies structural MRI as a biomarker of neurodegeneration that lacks specificity for AD. The “Flortaucipir PET vs MRI Markers” section reports substantially better discrimination of AD dementia from other neurodegenerative disorders with flortaucipir PET than with MRI atrophy measures. The copy mentions higher costs associated with PET, but does not establish a direct MRI-versus-PET cost comparison; its comparison is also specific to flortaucipir PET, rather than PET generally. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • 18F-flortaucipir PET showed slightly lower accuracy (AUC 0.75-0.84) when comparing positive amyloid PET MCI to other non-AD neurodegenerative disorders.

    “It did show however slightly lower accuracy (AUC 0.75–0.84) when comparing positive amyloid PET MCI to other non-AD neurodegenerative disorders [192].”

    From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [192]

    The MCI Due to AD vs Non-AD Neurodegenerative Disorders section reports lower flortaucipir PET accuracy than in AD dementia, with AUCs of 0.75–0.84 across five regions. However, the Participants section says amyloid positivity was determined by PET or cerebrospinal fluid testing; the reported AUC range is not specific to amyloid-PET-positive MCI. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • In a multicentre cross-sectional study of 719 participants, 18F-flortaucipir PET had 89.9% sensitivity and 90.6% specificity in discriminating AD from non-AD neurodegenerative disorders.

    “In a multicentre cross-sectional study that included 719 participants (150 controls, 126 MCI, 170 AD and 254 other neurodegenerative disorder), 18F-flortaucipir PET had 89.9% sensitivity and 90.6% specificity in discriminating AD from non-AD neurodegenerative disorders and higher AUC (0.92–0.95) compared to volumetric MRI measures (AUC 0.63–0.75) [192].”

    From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [192]

    Table 2 reports 89.9% sensitivity and 90.6% specificity for distinguishing AD dementia from non-AD neurodegenerative disorders; the Results also report the stated PET and MRI AUC ranges. However, the citing sentence misstates the group counts: the study had 160 controls and 179 patients with AD dementia, not 150 and 170 (Participants; Abstract, page unavailable). (LLM, conf=0.92)

    Experimental — accuracy not yet measured
  • 18F-flortaucipir PET had higher AUC (0.92-0.95) compared to volumetric MRI measures (AUC 0.63-0.75) in that study.

    “In a multicentre cross-sectional study that included 719 participants (150 controls, 126 MCI, 170 AD and 254 other neurodegenerative disorder), 18F-flortaucipir PET had 89.9% sensitivity and 90.6% specificity in discriminating AD from non-AD neurodegenerative disorders and higher AUC (0.92–0.95) compared to volumetric MRI measures (AUC 0.63–0.75) [192].”
  • Aschenbrenner et al. retrospectively studied 152 participants; only tau PET signal significantly predicted cognitive decline, while high amyloid levels were also associated with tau-related cognitive decline.

    “Aschenbrenner et al. 131 performed a retrospective study of 152 participants who had received at least 1 flortaucipir tau PET scan and 1 florbetapir amyloid PET scan within a year, and ≥2 clinical and cognitive assessments.All participants entering the study had equal to or less than 0.5 on the CDR scale; that is, they were cognitively normal or with very mild AD.The statistical analysis demonstr”

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  1. [27]27. Villemagne VL, Dore V, Bourgeat P, et al. Generating continuous and categorical measures from tau imaging studies with 18F-AV1451 and 18F-THK5351: The Tau MeTeR scale. Alzheimers Dement. 2016;12(7):244. doi:10.1016/j.jalz.2016.06 .437 · DOI

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Authors
Ossenkoppele, R., Rabinovici, G. D., Smith, R., Cho, H., Schöll, M., Strandberg, O., Palmqvist, S., Mattsson, N., Janelidze, S., Santillo, A., Ohlsson, T., Jögi, J., Tsai, R., La Joie, R., Kramer, J., Boxer, A. L., Gorno-Tempini, M. L., Miller, B. L., Choi, J. Y., Ryu, Y. H., Lyoo, C. H., & Hansson, O.
Affiliations
  • Lund University (SE)
  • University of California, San Francisco (US)
  • Yonsei University (KR)
  • Skåne University Hospital (SE)
  • Memory and Aging Center, Department of Neurology, University of California San Francisco
Corresponding author
  • Ossenkoppele, Rik
  • Hansson, Oskar
Venue
JAMA
Published
2018-09-18
Volume
320
Issue
11
Pages
1151
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2892120842
Cited by
472
References
51
Citations by year
2026: 51 · 2025: 74 · 2024: 58 · 2023: 60 · 2022: 56 · 2021: 73 · 2020: 57 · 2019: 37 · 2018: 6
FWCI
33.49
Type
journal article
Language
en
Open access
Locations
  • JAMA (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • Pure Amsterdam UMC (acceptedVersion, other-oa)
  • YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
  • Lund University Publications (Lund University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • Alzheimer's Association (P50 AG023501, 443577, AARF-16-443577, 16-443577)
  • Larry L. Hillblom Foundation
  • Amgen
  • Bristol-Myers Squibb
  • Parkinson Research Foundation
  • Eli Lilly and Company
  • Pfizer
  • American Brain Foundation (R01-AG045611)
  • Biogen
  • Celgene
  • Quest Diagnostics
  • TauRx Pharmaceuticals
  • National Institute for Health and Care Research
  • National Research Foundation
  • Lunds Universitet
  • Ministry of Science, ICT and Future Planning (2017R1A2B2006694, 2015R1C1A2A01054507)
  • National Research Foundation of Korea (2017R1A2B2006694, 2015R1C1A2A01054507)
  • Knut och Alice Wallenbergs Stiftelse
  • Vetenskapsrådet
  • Skånes universitetssjukhus
  • Marcus och Amalia Wallenbergs minnesfond
  • National Institutes of Health
  • Genentech
  • University of California, San Francisco
  • Parkinsonfonden
  • Avid Radiopharmaceuticals
  • NIHR Cambridge Biomedical Research Centre
  • National Institute on Aging (R01AG045611, R01AG038791, U01AG052943, P01AG019724, P30AG062422, R01AG032289, P50AG023501)
  • National Institute on Deafness and Other Communication Disorders (K24DC015544)
  • National Institute of Neurological Disorders and Stroke (R01NS100440, R56NS050915, U54NS092089, R01NS050915)
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
18F-flortaucipir, Alzheimer's disease, tau PET imaging, discriminative accuracy, mild cognitive impairment, amyloid-beta, hippocampal volume, cortical thickness, dementia diagnosis, standardized uptake value ratio, sensitivity and specificity, differential diagnosis of dementia, neurodegeneration biomarkers
MeSH terms
Adult, Aged, Aged, 80 and over, Alzheimer Disease, Carbolines, Cerebral Cortex, Cross-Sectional Studies, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Amyloid beta-Peptides, Radiopharmaceuticals, Area Under Curve, Neurodegenerative Diseases, Fluorodeoxyglucose F18, Positron-Emission Tomography, Cognitive Dysfunction

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