Cited by 32Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

Amyloid imaging for differential diagnosis of dementia: incremental value compared to clinical diagnosis and [18F]FDG PET

Open access
Hellwig, Sabine, Frings, Lars, Bormann, Tobias, Vach, Werner, Buchert, Ralph, Meyer, Philipp T.·2019·European Journal of Nuclear Medicine and Molecular Imaging

Abstract

Cerebral beta-amyloid and regional glucose metabolism assessed by positron emission tomography (PET) are used as diagnostic biomarkers for Alzheimer’s disease (AD). The present study validates the incremental diagnostic value of amyloid PET in addition to clinical diagnosis and [ 18 F]FDG PET in a real-life memory clinic population. Of 138 consecutive patients with cognitive impairment who received combined [ 18 F]FDG and [ 11 C]PIB PET, 84 were diagnosed with major neurocognitive disorder (DSM-5) and included. Baseline clinical and [ 18 F]FDG PET diagnoses were independently established with and without access to amyloid PET results and were dichotomized into AD or non-AD disorders. The incremental value of amyloid PET was evaluated in terms of: (1) the change in clinical and [ 18 F]FDG PET diagnoses, (2) the change in agreement between clinical and [ 18 F]FDG PET diagnoses, and (3) diagnostic accuracy using an interdisciplinary consensus diagnosis after an extended follow-up (2.4 ± 1.3 years after PET) as the reference. After disclosure of the amyloid PET results, clinical and [ 18 F]FDG PET diagnoses changed in 23% and 18% of patients, respectively, and agreement between both ratings increased from 62% to 86% ( p < 0.001). The accuracy of clinical and [ 18 F]FDG PET diagnoses improved from 71% to 89% ( p < 0.01) and from 76% to 94% ( p < 0.001), respectively. The additional value of amyloid PET was rather uniform in relation to age at onset and consistency with appropriate use criteria. Amyloid PET provides significant incremental diagnostic value beyond clinical and [ 18 F]FDG PET diagnoses of AD. Given the high diagnostic accuracy of combined clinical and amyloid PET assessment, further studies are needed to clarify the role of an additional [ 18 F]FDG PET scan in these patients.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00259-018-4111-3

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Studies suggest amyloid PET provides incremental diagnostic value beyond clinical and FDG-PET diagnoses of AD.

    “Studies have suggested that amyloid PET provides incremental diagnostic value beyond clinical and FDG-PET diagnoses of AD.”
  • Compared to FDG-PET, amyloid PET is more sensitive (89% vs 73%) but less specific (83% vs 98%) for differential diagnosis between AD and FTD.

    “Compared to FDG-PET, amyloid PET is more sensitive (89% vs 73%) but less specific (83% compared to 98%) for the differential diagnosis between AD and FTD [167, 168].”

    From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [167]

    The Results (Table 4; page unavailable) give sensitivity and specificity for FDG-PET diagnoses before and after disclosure of amyloid PET results, not a head-to-head comparison of the two scans for AD versus FTD. The paper groups FTD with other non-AD diagnoses, and the searched passages do not report the claimed 89% versus 73% sensitivity or 83% versus 98% specificity. (LLM, conf=0.75)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 31

  1. [2]McKhann G Drachman D Folstein M Katzman R Price D Stadlan EM Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease Neurology 1984 34 939 944 10.1212/WNL.34.7.939 6610841 · DOI · Paper page
  2. [3]McKhann GM Knopman DS Chertkow H The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement 2011 7 263 269 10.1016/j.jalz.2011.03.005 21514250 PMC3312024 · DOI · Paper page
  3. [4]Apostolova LG Haider JM Goukasian N Rabinovici GD Chételat G Ringman JM Critical review of the Appropriate Use Criteria for amyloid imaging: effect on diagnosis and patient care Alzheimers Dement 2016 5 15 22 PMC5198877 28054024
  4. [5]Boccardi M Altomare D Ferrari C Festari C Guerra UP Paghera B Assessment of the incremental diagnostic value of florbetapir F 18 imaging in patients with cognitive impairment: the Incremental Diagnostic Value of Amyloid PET With [18F]-Florbetapir (INDIA-FBP) study JAMA Neurol 2016 73 1417 1424 10.1001/jamaneurol.2016.3751 27802513 · DOI
  5. [6]Frederiksen KS Hasselbalch SG Hejl AM Law I Hojgaard L Waldemar G Added diagnostic value of (11)C-PiB-PET in memory clinic patients with uncertain diagnosis Dement Geriatr Cogn Dis Extra 2012 2 610 621 10.1159/000345783 23341826 PMC3551383 · DOI
  6. [7]Grundman M Pontecorvo MJ Salloway SP Doraiswamy PM Fleisher AS Sadowsky CH Potential impact of amyloid imaging on diagnosis and intended management in patients with progressive cognitive decline Alzheimer Dis Assoc Disord 2013 27 4 15 10.1097/WAD.0b013e318279d02a 23203162 · DOI
  7. [9]Pontecorvo MJ Siderowf A Dubois B Doraiswamy PM Frisoni GB Grundman M Effectiveness of florbetapir PET imaging in changing patient management Dement Geriatr Cogn Disord 2017 44 129 143 10.1159/000478007 28787712 PMC5806476 · DOI
  8. [10]Zwan MD Bouwman FH Konijnenberg E van der Flier WM Lammertsma AA Verhey FR Diagnostic impact of [18F]flutemetamol PET in early-onset dementia Alzheimers Res Ther 2017 9 2 10.1186/s13195-016-0228-4 28093088 PMC5240413 · DOI · Paper page
  9. [11]Bensaidane MR Beauregard JM Poulin S Buteau FA Guimond J Bergeron D Clinical utility of amyloid PET imaging in the differential diagnosis of atypical dementias and its impact on caregivers J Alzheimers Dis 2016 52 1251 1262 10.3233/JAD-151180 27104896 · DOI
  10. [12]Brendel M Schnabel J Schonecker S Wagner L Brendel E Meyer-Wilmes J Additive value of amyloid-PET in routine cases of clinical dementia work-up after FDG-PET Eur J Nucl Med Mol Imaging 2017 44 2239 2248 10.1007/s00259-017-3832-z 28932894 · DOI
  11. [13]Carswell CJ Win Z Muckle K Kennedy A Waldman A Dawe G Clinical utility of amyloid PET imaging with (18)F-florbetapir: a retrospective study of 100 patients J Neurol Neurosurg Psychiatry 2018 89 294 299 10.1136/jnnp-2018-ABN.102 29018162 · DOI
  12. [14]Ceccaldi M Jonveaux T Verger A Krolak-Salmon P Houzard C Godefroy O Added value of (18)F-florbetaben amyloid PET in the diagnostic workup of most complex patients with dementia in France: a naturalistic study Alzheimers Dement 2018 14 293 305 10.1016/j.jalz.2017.09.009 29107051 · DOI
  13. [15]Grundman M Johnson KA Lu M Siderowf A Dell'Agnello G Arora AK Effect of amyloid imaging on the diagnosis and management of patients with cognitive decline: impact of appropriate use criteria Dement Geriatr Cogn Disord 2016 41 80 92 10.1159/000441139 26745445 PMC6625826 · DOI
  14. [16]Sánchez-Juan P Ghosh PM Hagen J Gesierich B Henry M Grinberg LT Practical utility of amyloid and FDG-PET in an academic dementia center Neurology 2014 82 230 238 10.1212/WNL.0000000000000032 24353340 PMC3902757 · DOI
  15. [17]Ossenkoppele R Jansen WJ Rabinovici GD Knol DL van der Flier WM van Berckel BN Prevalence of amyloid PET positivity in dementia syndromes: a meta-analysis JAMA 2015 313 1939 1949 10.1001/jama.2015.4669 25988463 PMC4517678 · DOI · Paper page
  16. [18]Johnson KA Minoshima S Bohnen NI Donohoe KJ Foster NL Herscovitch P 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 J Nucl Med 2013 54 476 490 10.2967/jnumed.113.120618 23359661 · DOI · Paper page
  17. [19]Albert MS DeKosky ST Dickson D Dubois B Feldman HH Fox NC The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement 2011 7 270 279 10.1016/j.jalz.2011.03.008 21514249 PMC3312027 · DOI · Paper page
  18. [20]Gallia GL Rigamonti D Williams MA The diagnosis and treatment of idiopathic normal pressure hydrocephalus Nat Clin Pract Neurol 2006 2 375 381 10.1038/ncpneuro0237 16932588 · DOI
  19. [21]Gorno-Tempini ML Hillis AE Weintraub S Kertesz A Mendez M Cappa SF Classification of primary progressive aphasia and its variants Neurology 2011 76 1006 1014 10.1212/WNL.0b013e31821103e6 21325651 PMC3059138 · DOI · Paper page
  20. [23]McKeith IG Dickson DW Lowe J Emre M O'Brien JT Feldman H Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium Neurology 2005 65 1863 1872 10.1212/01.wnl.0000187889.17253.b1 16237129 · DOI · Paper page
  21. [24]McMonagle P Deering F Berliner Y Kertesz A The cognitive profile of posterior cortical atrophy Neurology 2006 66 331 338 10.1212/01.wnl.0000196477.78548.db 16476930 · DOI
  22. [25]Rascovsky K Hodges JR Knopman D Mendez MF Kramer JH Neuhaus J Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia Brain 2011 134 2456 2477 10.1093/brain/awr179 21810890 PMC3170532 · DOI · Paper page
  23. [26]Petersen RC Smith GE Waring SC Ivnik RJ Tangalos EG Kokmen E Mild cognitive impairment: clinical characterization and outcome Arch Neurol 1999 56 303 308 10.1001/archneur.56.3.303 10190820 · DOI · Paper page
  24. [27]Gabel MJ Foster NL Heidebrink JL Higdon R Aizenstein HJ Arnold SE Validation of consensus panel diagnosis in dementia Arch Neurol 2010 67 1506 1512 10.1001/archneurol.2010.301 21149812 PMC3178413 · DOI
  25. [28]Frings L Hellwig S Spehl TS Bormann T Buchert R Vach W Asymmetries of amyloid-beta burden and neuronal dysfunction are positively correlated in Alzheimer's disease Brain 2015 138 3089 3099 10.1093/brain/awv229 26280595 · DOI
  26. [29]Minoshima S Frey KA Koeppe RA Foster NL Kuhl DE A diagnostic approach in Alzheimer's disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET J Nucl Med 1995 36 1238 1248 7790950
  27. [30]Frisoni GB Bocchetta M Chetelat G Rabinovici GD de Leon MJ Kaye J Imaging markers for Alzheimer disease: which vs how Neurology 2013 81 487 500 10.1212/WNL.0b013e31829d86e8 23897875 PMC3776529 · DOI
  28. [31]Landis JR Koch GG The measurement of observer agreement for categorical data Biometrics 1977 33 159 174 10.2307/2529310 843571 · DOI · Paper page
  29. [32]Bohnen NI Djang DS Herholz K Anzai Y Minoshima S Effectiveness and safety of 18F-FDG PET in the evaluation of dementia: a review of the recent literature J Nucl Med 2012 53 59 71 10.2967/jnumed.111.096578 22173840 · DOI
  30. [33]Cure S Abrams K Belger M Dell'agnello G Happich M Systematic literature review and meta-analysis of diagnostic test accuracy in Alzheimer's disease and other dementia using autopsy as standard of truth J Alzheimers Dis 2014 42 169 182 10.3233/JAD-131559 24840572 · DOI
  31. [34]Matsunari I Samuraki M Chen WP Yanase D Takeda N Ono K Comparison of 18F-FDG PET and optimized voxel-based morphometry for detection of Alzheimer's disease: aging effect on diagnostic performance J Nucl Med 2007 48 1961 1970 10.2967/jnumed.107.042820 18006622 · DOI

Cited by

Sorted by citations

Authors
Hellwig, S., Frings, L., Bormann, T., Vach, W., Buchert, R., & Meyer, P. T.
Affiliations
  • University of Freiburg (DE)
  • University Medical Center Hamburg-Eppendorf (DE)
Corresponding author
Hellwig, Sabine
Venue
European Journal of Nuclear Medicine and Molecular Imaging
Published
2018-08-10
Volume
46
Issue
2
Pages
312-323
ISSN
  • 1619-7070 (ISSN-L)
  • 1619-7089
OpenAlex
W2885265215
Cited by
32
References
3
Citations by year
2026: 2 · 2025: 7 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 2 · 2020: 7 · 2019: 2
FWCI
2.16
Type
journal article
Language
en
Open access
Locations
  • European Journal of Nuclear Medicine and Molecular Imaging (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
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, Alzheimer's disease, differential diagnosis of dementia, 18F-FDG PET, 11C-PiB PET, incremental diagnostic value, major neurocognitive disorder, cognitive impairment, diagnostic accuracy, diagnosis, regional glucose metabolism, memory clinic patients
MeSH terms
Aged, Amyloid, Dementia, Diagnosis, Differential, Female, Humans, Male, Area Under Curve, Fluorodeoxyglucose F18, 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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review