Literature DB >> 17704526

FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease.

Norman L Foster1, Judith L Heidebrink, Christopher M Clark, William J Jagust, Steven E Arnold, Nancy R Barbas, Charles S DeCarli, R Scott Turner, Robert A Koeppe, Roger Higdon, Satoshi Minoshima.   

Abstract

Distinguishing Alzheimer's disease (AD) and frontotemporal dementia (FTD) currently relies on a clinical history and examination, but positron emission tomography with [(18)F] fluorodeoxyglucose (FDG-PET) shows different patterns of hypometabolism in these disorders that might aid differential diagnosis. Six dementia experts with variable FDG-PET experience made independent, forced choice, diagnostic decisions in 45 patients with pathologically confirmed AD (n = 31) or FTD (n = 14) using five separate methods: (1) review of clinical summaries, (2) a diagnostic checklist alone, (3) summary and checklist, (4) transaxial FDG-PET scans and (5) FDG-PET stereotactic surface projection (SSP) metabolic and statistical maps. In addition, we evaluated the effect of the sequential review of a clinical summary followed by SSP. Visual interpretation of SSP images was superior to clinical assessment and had the best inter-rater reliability (mean kappa = 0.78) and diagnostic accuracy (89.6%). It also had the highest specificity (97.6%) and sensitivity (86%), and positive likelihood ratio for FTD (36.5). The addition of FDG-PET to clinical summaries increased diagnostic accuracy and confidence for both AD and FTD. It was particularly helpful when raters were uncertain in their clinical diagnosis. Visual interpretation of FDG-PET after brief training is more reliable and accurate in distinguishing FTD from AD than clinical methods alone. FDG-PET adds important information that appropriately increases diagnostic confidence, even among experienced dementia specialists.

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Year:  2007        PMID: 17704526     DOI: 10.1093/brain/awm177

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  170 in total

1.  The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core.

Authors:  William J Jagust; Dan Bandy; Kewei Chen; Norman L Foster; Susan M Landau; Chester A Mathis; Julie C Price; Eric M Reiman; Daniel Skovronsky; Robert A Koeppe
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 2.  Neuroimaging in psychiatric disorders.

Authors:  Joseph C Masdeu
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

3.  CSF metabolites in the differential diagnosis of Alzheimer's disease from frontal variant of frontotemporal dementia.

Authors:  Francesca de Rino; Filippo Martinelli-Boneschi; Francesca Caso; Marta Zuffi; Matteo Zabeo; Gabriella Passerini; Giancarlo Comi; Giuseppe Magnani; Massimo Franceschi
Journal:  Neurol Sci       Date:  2011-11-29       Impact factor: 3.307

4.  Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND.

Authors:  Prashanthi Vemuri; Gyorgy Simon; Kejal Kantarci; Jennifer L Whitwell; Matthew L Senjem; Scott A Przybelski; Jeffrey L Gunter; Keith A Josephs; David S Knopman; Bradley F Boeve; Tanis J Ferman; Dennis W Dickson; Joseph E Parisi; Ronald C Petersen; Clifford R Jack
Journal:  Neuroimage       Date:  2010-12-31       Impact factor: 6.556

5.  Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.

Authors:  Tingting Ye; Chen Zu; Biao Jie; Dinggang Shen; Daoqiang Zhang
Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

Review 6.  FDG-PET Contributions to the Pathophysiology of Memory Impairment.

Authors:  Shailendra Segobin; Renaud La Joie; Ludivine Ritz; Hélène Beaunieux; Béatrice Desgranges; Gaël Chételat; Anne Lise Pitel; Francis Eustache
Journal:  Neuropsychol Rev       Date:  2015-08-30       Impact factor: 7.444

Review 7.  Clinical utility of FDG-PET for the differential diagnosis among the main forms of dementia.

Authors:  Peter J Nestor; Daniele Altomare; Cristina Festari; Alexander Drzezga; Jasmine Rivolta; Zuzana Walker; Femke Bouwman; Stefania Orini; Ian Law; Federica Agosta; Javier Arbizu; Marina Boccardi; Flavio Nobili; Giovanni Battista Frisoni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-07       Impact factor: 9.236

8.  Correlation between two methods of florbetapir PET quantitative analysis.

Authors:  Christopher Breault; Jonathan Piper; Abhinay D Joshi; Sara D Pirozzi; Aaron S Nelson; Ming Lu; Michael J Pontecorvo; Mark A Mintun; Michael D Devous
Journal:  Am J Nucl Med Mol Imaging       Date:  2017-07-15

Review 9.  Emerging biomarkers in cognition.

Authors:  Meredith Wicklund; Ronald C Petersen
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

Review 10.  Why do so many drugs for Alzheimer's disease fail in development? Time for new methods and new practices?

Authors:  Robert E Becker; Nigel H Greig; Ezio Giacobini
Journal:  J Alzheimers Dis       Date:  2008-10       Impact factor: 4.472

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