scholarly journals Clinical Assessment of Amyloid Imaging in Alzheimer's Disease: A Systematic Review of the Literature

2013 ◽  
Vol 36 (5-6) ◽  
pp. 263-278 ◽  
Author(s):  
Philip Wahlster ◽  
Charlotte Niederländer ◽  
Christine Kriza ◽  
Sandra Schaller ◽  
Peter L. Kolominsky-Rabas
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Assessment ◽  
Amyloid Imaging ◽  
Review Of The Literature

A SYSTEMATIC REVIEW & META-ANALYSIS OF F-18-LABELLED AMYLOID IMAGING IN ALZHEIMER'S DISEASE

2015 ◽  
Vol 86 (11) ◽  
pp. e4.142-e4
Author(s):  
Jing Ming Yeo ◽  
Briony Waddell ◽  
Zubair Khan ◽  
Suvankar Pal
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Sensitivity And Specificity ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Amyloid Imaging ◽  
Pittsburgh Compound B ◽  
Analysis Methodology ◽  
Sensitivity Specificity

IntroductionThere has been recent interest in the use of fluorine-18-labelled (18F) tracers in amyloid imaging as they have longer half-lives compared to 11C-labelled Pittsburgh compound-B (11C-PIB). This systematic review and meta-analysis aims to assess the sensitivity and specificity of 18F tracers florbetapir, florbetaben and flutemetamol in diagnosing Alzheimer's disease (AD).MethodsWe systematically searched MEDLINE and EMBASE for relevant studies published from January 1980 to March 2014. We pooled the studies comparing imaging findings in AD and normal controls (NC) in a meta-analysis, calculating the pooled weighted sensitivity, specificity and diagnostic odds ratio (OR) using DerSimonian-Laird random effects model.ResultsA total of nineteen studies investigating 682 patients with AD, met the inclusion criteria; florbetapir (n=10), florbetaben (n=6), flutemetamol (n=3). Our meta-analysis for florbetapir revealed a pooled weighted sensitivity of 89.6%, specificity of 87.2% and diagnostic OR of 91.7 in differentiating AD from NC; and for florbetaben a pooled weighted sensitivity of 89.3%, specificity of 87.6% and diagnostic OR of 69.9.ConclusionThis meta-analysis demonstrated favourable sensitivity and specificity for 18F tracers in diagnosing AD. Further and larger prospective studies are required to establish an optimal imaging analysis methodology for these tracers for consistency and comparability

scholarly journals Systematic review of the literature on vitamin A and memory

2012 ◽  
Vol 6 (4) ◽  
pp. 219-222 ◽  
Author(s):  
Yara Dadalti Fragoso ◽  
Niklas Söderberg Campos ◽  
Breno Faria Tenrreiro ◽  
Fernanda Jussio Guillen
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Vitamin A ◽  
Evidence Based ◽  
Review Of The Literature ◽  
Vitamin A Supplementation ◽  
Treatment And Prevention ◽  
The Subject

ABSTRACT Background: Over the last 30 years, a variety of studies reporting the effects of vitamin A on memory have been published. Objective: To perform a rigorous systematic review of the literature on vitamin A and memory in order to organize evidence-based data on the subject. Methods: Four authors carried out the systematic review in accordance with strict guidelines. The terms "vitamin A" OR "retinol" OR "retinoic acid" AND "memory" OR "cognition" OR "Alzheimer" were searched in virtually all medical research databases. Results: From 236 studies containing the key words, 44 were selected for this review, numbering 10 reviews and 34 original articles. Most studies used animal models for studying vitamin A and cognition. Birds, mice and rats were more frequently employed whereas human studies accounted for only two reports on brain tissue from autopsies and one on the role of isotretinoin in cognition among individuals taking this medication to treat acne. Conclusion: Vitamin A may be an important and viable complement in the treatment and prevention of Alzheimer's disease. Clinical trials are imperative and, at present, there is no evidence-based data to recommend vitamin A supplementation for the prevention or treatment of Alzheimer's disease.

Leveraging Technology in Detection of Alzheimer’s Disease: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Clemens Kruse ◽  
Britney Larson ◽  
Reagan Wilkinson ◽  
Roger Samson ◽  
Taylor Castillo
Keyword(s):  
Magnetic Resonance Imaging ◽  
United States ◽  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The United States ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
Common Cause ◽  
Key Terms

BACKGROUND Incidence of AD continues to increase, making it the most common cause of dementia and the sixth-leading cause of death in the United States. 2018 numbers are expected to double by 2030. OBJECTIVE We examined the benefits of utilizing technology to identify and detect Alzheimer’s disease in the diagnostic process. METHODS We searched PubMed and CINAHL using key terms and filters to identify 30 articles for review. We analyzed these articles and reported them in accordance with the PRISMA guidelines. RESULTS We identified 11 technologies used in the detection of Alzheimer’s disease: 66% of which used some form of MIR. Functional, structural, and 7T magnetic resonance imaging were all used with structural being the most prevalent. CONCLUSIONS MRI is the best form of current technology being used in the detection of Alzheimer’s disease. MRI is a noninvasive approach that provides highly accurate results in the diagnostic process of Alzheimer’s disease.

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