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Positron emission tomography and magnetic resonance imaging in the diagnosis and prediction of dementia
Author(s) -
Jagust William
Publication year - 2006
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2005.11.002
Subject(s) - dementia , positron emission tomography , magnetic resonance imaging , neuroimaging , frontotemporal dementia , medicine , fluorodeoxyglucose , disease , psychology , radiology , neuroscience , pathology , psychiatry
Background The diagnosis of dementia, along with the prediction of who will develop dementia, has been assisted by the development of the brain imaging techniques of magnetic resonance imaging (MRI) and positron emission tomography (PET). Methods This paper reviews the brain imaging technologies of structural MRI and PET scanning as they have been applied to both the diagnosis of dementia and prediction of who will develop dementia. Results Diagnosis has long been enhanced by the use of structural imaging techniques like MRI to rule out non‐degenerative causes of disease. More recently, PET imaging with the glucose metabolic tracer [ 18 F]Fluorodeoxyglucose (FDG) may be useful in providing information on the cause of dementia during life, most specifically in differentiating Alzheimer's disease from frontotemporal lobar degeneration. In addition to diagnosis, potential therapeutic advances have increased interest in prediction of dementia. Both MR and FDG‐PET have shown evidence of change in brain structure and metabolism in several models of individuals at‐risk for dementia, including those with mild cognitive impairment and genetic risk factors. Conclusions While these studies have not yet advanced to the level of prospective individual‐subject predictive ability, the pattern of data emerging suggests likely candidate approaches for such studies. The advent of newer techniques such as amyloid imaging with PET and functional MRI may ultimately have relevance for both diagnosis and prediction.