» Articles » PMID: 22814208

Impact of Beta-amyloid-specific Florbetaben PET Imaging on Confidence in Early Diagnosis of Alzheimer's Disease

Overview
Publisher Karger
Date 2012 Jul 21
PMID 22814208
Citations 29
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Molecular Design of Magnetic Resonance Imaging Agents Binding to Amyloid Deposits.

Nikiforova A, Sedov I Int J Mol Sci. 2023; 24(13).

PMID: 37446329 PMC: 10342860. DOI: 10.3390/ijms241311152.


PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer's disease.

Kim N, Park U, Yang D, Choi S, Youn Y, Kang S Sci Rep. 2023; 13(1):10299.

PMID: 37365198 PMC: 10293163. DOI: 10.1038/s41598-023-36713-0.


Software compatibility analysis for quantitative measures of [F]flutemetamol amyloid PET burden in mild cognitive impairment.

Pemberton H, Buckley C, Battle M, Bollack A, Patel V, Tomova P EJNMMI Res. 2023; 13(1):48.

PMID: 37225974 PMC: 10209381. DOI: 10.1186/s13550-023-00994-3.


The impact of subthreshold levels of amyloid deposition on conversion to dementia in patients with amyloid-negative amnestic mild cognitive impairment.

Kim H, Oh J, Lim J, Lee S, Jo S, Chung E Alzheimers Res Ther. 2022; 14(1):93.

PMID: 35821150 PMC: 9277922. DOI: 10.1186/s13195-022-01035-2.


Quantification of amyloid PET for future clinical use: a state-of-the-art review.

Pemberton H, Collij L, Heeman F, Bollack A, Shekari M, Salvado G Eur J Nucl Med Mol Imaging. 2022; 49(10):3508-3528.

PMID: 35389071 PMC: 9308604. DOI: 10.1007/s00259-022-05784-y.