18F-FDG PET for Prediction of Conversion to Alzheimer’s Disease Dementia in People with Mild Cognitive Impairment: An Updated Systematic Review of Test Accuracy-Reference-Cited by-同舟云学术

18F-FDG PET for Prediction of Conversion to Alzheimer’s Disease Dementia in People with Mild Cognitive Impairment: An Updated Systematic Review of Test Accuracy

Published:2018-07-24 Issue:4 Volume:64 Page:1175-1194
ISSN:1387-2877
Container-title:Journal of Alzheimer's Disease
language:
Short-container-title:JAD

Author:

Smailagic Nadja¹,Lafortune Louise¹,Kelly Sarah¹,Hyde Chris²,Brayne Carol¹

Affiliation:

1. Cambridge Institute of Public Health, Forvie Site, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK

2. Exeter Test Group and South West CLAHRC, University of Exeter Medical School, St Luke’s Campus, Exeter, UK

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference78 articles.

1. Clinical diagnosis of Alzheimer’s disease Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services TaskForce on Alzheimer’s Disease;McKhann;Neurology,1984

2. Prince M , Bryce R , Ferri C (2011) World Alzheimer Report 2011: The benefits of early diagnosis and intervention. Alzheimer Disease International https://www.alz.co.uk/research/WorldAlzheimerReport2011.pdf, accessed on March 28, 2017.

3. Timely diagnosis for Alzheimer’s disease: A literature review on benefits and challenges;Dubois;J Alzheimers Dis,2016

4. Mild cognitive impairment as a diagnostic entity;Petersen;J Intern Med,2004

5. Is MCI really just early dementia? A systematic review of conversion studies;Bruscoli;Int Psychogeriatr,2004

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