Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

The role of biomarkers and imaging in the clinical diagnosis of dementia

Bayer, Antony J. 2018. The role of biomarkers and imaging in the clinical diagnosis of dementia. Age and Ageing 47 (5) , pp. 641-643. 10.1093/ageing/afy004

[img]
Preview
PDF - Accepted Post-Print Version
Download (330kB) | Preview

Abstract

Recognition of dementia relies on a good clinical history, supported by formal cognitive testing, but identifying the subtype of dementia may be wrong in 20% or more of cases. Accuracy may be improved by use of imaging and cerebrospinal fluid (CSF) biomarkers. Structural neuroimaging is recommended for most patients, not just to identify potentially reversible surgical pathology, but also to detect vascular changes and patterns of cerebral atrophy. Functional imaging can help to confirm neurodegeneration and to distinguish dementia subtypes when structural imaging has been inconclusive. Amyloid-positron emission tomography scans reflect neuritic plaque burden and identify the earliest pathological changes in Alzheimer’s disease, but their value outside research settings is still uncertain. A combination of low CSF amyloid β1–42 and high CSF total-tau or phospho-tau also has high predictive power for AD pathology, but diagnostic usefulness decreases with age because of the increased prevalence of AD-type pathology in non-demented people. The need to use biomarkers more routinely will become necessary as disease-modifying treatments become available and accurate subtype diagnosis will be required at an early (ideally pre-dementia) stage. Clinicians should be considering the resources and expertise that will soon be needed for optimal dementia diagnosis.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: Oxford University Press
ISSN: 0002-0729
Date of First Compliant Deposit: 12 February 2018
Date of Acceptance: 16 January 2018
Last Modified: 08 Feb 2019 02:30
URI: http://orca.cf.ac.uk/id/eprint/109017

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics