Skip to main navigation Skip to search Skip to main content

Impact of beta-amyloid-specific florbetaben pet imaging on confidence in early diagnosis of Alzheimer's disease

  • C. G. Schipke
  • , O. Peters
  • , I. Heuser
  • , T. Grimmer
  • , M. N. Sabbagh
  • , O. Sabri
  • , C. Hock
  • , M. Kunz
  • , J. Kuhlmann
  • , C. Reininger
  • , M. Blankenburg
  • Charité – Universitätsmedizin Berlin
  • Banner Sun Health Research Institute
  • University Hospital Leipzig
  • University Hospital of Psychiatry
  • Therapeutic Research Group Women's Healthcare Bayer Schering Pharma AG

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Background: Early diagnosis of Alzheimer's disease (AD) may be corroborated by imaging of beta-amyloid plaques using positron emission tomography (PET). Here, we performed an add-on questionnaire study to evaluate the relevance of florbetaben imaging (BAY 949172) in diagnosis and consecutive management of probable AD patients. Methods: AD patients with a clinical diagnosis in accordance with the NINCDS-ADRDA criteria or controls were imaged using florbetaben. Referring physicians were asked on a voluntary basis about their confidence in initial diagnosis, significance of PET imaging results, and their anticipated consequences for future patient care. Results: 121 questionnaires for probable AD patients and 80 questionnaires for controls were evaluated. In 18% of patients who had initially received the diagnosis of probable AD, PET scans were rated negative, whereas in controls 18% of scans were positive. An increase in confidence in the initial diagnosis was frequently reported (80%). Imaging results had a significant impact on the intended patient care, as judged by the referring physicians; this was most prominent in those patients with a contradicting scan and/or a low confidence in the initial diagnosis. Conclusion: Florbetaben amyloid imaging increases the overall confidence in diagnosis of AD and may frequently influence clinical decisions and patient management.

Original languageEnglish
Pages (from-to)416-422
Number of pages7
JournalDementia and Geriatric Cognitive Disorders
Volume33
Issue number6
DOIs
StatePublished - Aug 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alzheimer's disease
  • Beta-amyloid plaques
  • Florbetaben amyloid imaging

Fingerprint

Dive into the research topics of 'Impact of beta-amyloid-specific florbetaben pet imaging on confidence in early diagnosis of Alzheimer's disease'. Together they form a unique fingerprint.

Cite this