Literature DB >> 28932894

Additive value of amyloid-PET in routine cases of clinical dementia work-up after FDG-PET.

Matthias Brendel1, Jonas Schnabel1, Sonja Schönecker2, Leonie Wagner1, Eva Brendel1, Johanna Meyer-Wilmes1, Marcus Unterrainer1, Andreas Schildan3, Marianne Patt3, Catharina Prix2, Nibal Ackl2, Cihan Catak4, Oliver Pogarell5, Johannes Levin2,6, Adrian Danek2,6, Katharina Buerger4,6, Peter Bartenstein1,7, Henryk Barthel3, Osama Sabri3, Axel Rominger8,9.   

Abstract

PURPOSE: In recent years, several [18F]-labeled amyloid-PET tracers have been developed and have obtained clinical approval. Despite their widespread scientific use, studies in routine clinical settings are limited. We therefore investigated the impact of [18F]-florbetaben (FBB)-PET on the diagnostic management of patients with suspected dementia that was still unclarified after [18F]-fluordeoxyglucose (FDG)-PET.
METHODS: All subjects were referred in-house with a suspected dementia syndrome due to neurodegenerative disease. After undergoing an FDG-PET exam, the cases were discussed by the interdisciplinary dementia board, where the most likely diagnosis as well as potential differential diagnoses were documented. Because of persistent diagnostic uncertainty, the patients received an additional FBB-PET exam. Results were interpreted visually and classified as amyloid-positive or amyloid-negative, and we then compared the individual clinical diagnoses before and after additional FBB-PET.
RESULTS: A total of 107 patients (mean age 69.4 ± 9.7y) were included in the study. The FBB-PET was rated as amyloid-positive in 65/107. In 83% of the formerly unclear cases, a final diagnosis was reached through FBB-PET, and the most likely prior diagnosis was changed in 28% of cases. The highest impact was observed for distinguishing Alzheimer's dementia (AD) from fronto-temporal dementia (FTLD), where FBB-PET altered the most likely diagnosis in 41% of cases.
CONCLUSIONS: FBB-PET has a high additive value in establishing a final diagnosis in suspected dementia cases when prior investigations such as FDG-PET are inconclusive. The differentiation between AD and FTLD was particularly facilitated by amyloid-PET, predicting a considerable impact on patient management, especially in the light of upcoming disease-modifying therapies.

Entities:  

Keywords:  Alzheimer’s disease; Clinical routine; FDG PET; [18F]-florbetaben PET; β-amyloid

Mesh:

Substances:

Year:  2017        PMID: 28932894     DOI: 10.1007/s00259-017-3832-z

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  34 in total

1.  Worldwide variation in the doubling time of Alzheimer's disease incidence rates.

Authors:  Kathryn Ziegler-Graham; Ron Brookmeyer; Elizabeth Johnson; H Michael Arrighi
Journal:  Alzheimers Dement       Date:  2008-09       Impact factor: 21.566

2.  Classification of primary progressive aphasia and its variants.

Authors:  M L Gorno-Tempini; A E Hillis; S Weintraub; A Kertesz; M Mendez; S F Cappa; J M Ogar; J D Rohrer; S Black; B F Boeve; F Manes; N F Dronkers; R Vandenberghe; K Rascovsky; K Patterson; B L Miller; D S Knopman; J R Hodges; M M Mesulam; M Grossman
Journal:  Neurology       Date:  2011-02-16       Impact factor: 9.910

3.  Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer's disease: phase 3 study.

Authors:  Osama Sabri; Marwan N Sabbagh; John Seibyl; Henryk Barthel; Hiroyasu Akatsu; Yasuomi Ouchi; Kohei Senda; Shigeo Murayama; Kenji Ishii; Masaki Takao; Thomas G Beach; Christopher C Rowe; James B Leverenz; Bernardino Ghetti; James W Ironside; Ana M Catafau; Andrew W Stephens; Andre Mueller; Norman Koglin; Anja Hoffmann; Katrin Roth; Cornelia Reininger; Walter J Schulz-Schaeffer
Journal:  Alzheimers Dement       Date:  2015-03-28       Impact factor: 21.566

4.  Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study.

Authors:  Henryk Barthel; Hermann-Josef Gertz; Stefan Dresel; Oliver Peters; Peter Bartenstein; Katharina Buerger; Florian Hiemeyer; Sabine M Wittemer-Rump; John Seibyl; Cornelia Reininger; Osama Sabri
Journal:  Lancet Neurol       Date:  2011-04-08       Impact factor: 44.182

5.  SNMMI Procedure Standard/EANM Practice Guideline for Amyloid PET Imaging of the Brain 1.0.

Authors:  Satoshi Minoshima; Alexander E Drzezga; Henryk Barthel; Nicolaas Bohnen; Mehdi Djekidel; David H Lewis; Chester A Mathis; Jonathan McConathy; Agneta Nordberg; Osama Sabri; John P Seibyl; Margaret K Stokes; Koen Van Laere
Journal:  J Nucl Med       Date:  2016-08       Impact factor: 10.057

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

Authors:  Norman L Foster; 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
Journal:  Brain       Date:  2007-08-18       Impact factor: 13.501

7.  Cerebrospinal Fluid Aβ42/40 Corresponds Better than Aβ42 to Amyloid PET in Alzheimer's Disease.

Authors:  Piotr Lewczuk; Anja Matzen; Kaj Blennow; Lucilla Parnetti; Jose Luis Molinuevo; Paolo Eusebi; Johannes Kornhuber; John C Morris; Anne M Fagan
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

8.  Evaluation of early-phase [18F]-florbetaben PET acquisition in clinical routine cases.

Authors:  Sonja Daerr; Matthias Brendel; Christian Zach; Erik Mille; Dorothee Schilling; Mathias Johannes Zacherl; Katharina Bürger; Adrian Danek; Oliver Pogarell; Andreas Schildan; Marianne Patt; Henryk Barthel; Osama Sabri; Peter Bartenstein; Axel Rominger
Journal:  Neuroimage Clin       Date:  2016-10-08       Impact factor: 4.881

9.  Added Diagnostic Value of (11)C-PiB-PET in Memory Clinic Patients with Uncertain Diagnosis.

Authors:  K S Frederiksen; S G Hasselbalch; A-M Hejl; I Law; L Højgaard; G Waldemar
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2012-12-13

10.  Applied multimodal diagnostics in a case of presenile dementia.

Authors:  Sonja Schönecker; Matthias Brendel; Marion Huber; Christian Vollmar; Hans-Juergen Huppertz; Stefan Teipel; Nobuyuki Okamura; Johannes Levin; Axel Rominger; Adrian Danek
Journal:  BMC Neurol       Date:  2016-08-09       Impact factor: 2.474

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