Literature DB >> 19595854

Positron emission tomography and magnetic resonance imaging in the diagnosis and prediction of dementia.

William Jagust1.   

Abstract

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.

Entities:  

Year:  2006        PMID: 19595854     DOI: 10.1016/j.jalz.2005.11.002

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  14 in total

1.  The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Marilyn S Albert; Steven T DeKosky; Dennis Dickson; Bruno Dubois; Howard H Feldman; Nick C Fox; Anthony Gamst; David M Holtzman; William J Jagust; Ronald C Petersen; Peter J Snyder; Maria C Carrillo; Bill Thies; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

2.  Joint analysis of structural and perfusion MRI for cognitive assessment and classification of Alzheimer's disease and normal aging.

Authors:  Duygu Tosun; Pouria Mojabi; Michael W Weiner; Norbert Schuff
Journal:  Neuroimage       Date:  2010-04-18       Impact factor: 6.556

3.  Cardiovascular risk in cognitively preserved elderlies is associated with glucose hypometabolism in the posterior cingulate cortex and precuneus regardless of brain atrophy and apolipoprotein gene variations.

Authors:  Jaqueline Hatsuko Tamashiro-Duran; Paula Squarzoni; Fábio Luís de Souza Duran; Pedro Kallas Curiati; Homero Pinto Vallada; Carlos Alberto Buchpiguel; Paulo Andrade Lotufo; Mauricio Wajngarten; Paulo Rossi Menezes; Márcia Scazufca; Tânia Corrêa de Toledo Ferraz Alves; Geraldo Filho Busatto
Journal:  Age (Dordr)       Date:  2012-04-29

4.  Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, frontotemporal dementia, and elderly controls: a multi-block barycentric discriminant analysis (MUBADA) methodology.

Authors:  Hervé Abdi; Lynne J Williams; Derek Beaton; Mette T Posamentier; Thomas S Harris; Anjali Krishnan; Michael D Devous
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

5.  Anomaly detection for the individual analysis of brain PET images.

Authors:  Ninon Burgos; M Jorge Cardoso; Jorge Samper-González; Marie-Odile Habert; Stanley Durrleman; Sébastien Ourselin; Olivier Colliot
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-05

Review 6.  The role of molecular imaging in the diagnosis and management of neuropsychiatric disorders.

Authors:  Lie-Hang Shen; Yu-Chin Tseng; Mei-Hsiu Liao; Ying-Kai Fu
Journal:  J Biomed Biotechnol       Date:  2011-03-22

7.  Framingham Coronary Heart Disease Risk Score Can be Predicted from Structural Brain Images in Elderly Subjects.

Authors:  Jane Maryam Rondina; Paula Squarzoni; Fabio Luis Souza-Duran; Jaqueline Hatsuko Tamashiro-Duran; Marcia Scazufca; Paulo Rossi Menezes; Homero Vallada; Paulo A Lotufo; Tania Correa de Toledo Ferraz Alves; Geraldo Busatto Filho
Journal:  Front Aging Neurosci       Date:  2014-12-01       Impact factor: 5.750

Review 8.  Alzheimer's disease clinical and research update for health care practitioners.

Authors:  Philip A Defina; Rosemarie Scolaro Moser; Megan Glenn; Jonathan D Lichtenstein; Jonathan Fellus
Journal:  J Aging Res       Date:  2013-09-04

Review 9.  Update on the core and developing cerebrospinal fluid biomarkers for Alzheimer disease.

Authors:  Mirjana Babić; Dubravka Svob Štrac; Dorotea Mück-Šeler; Nela Pivac; Gabrijela Stanić; Patrick R Hof; Goran Simić
Journal:  Croat Med J       Date:  2014-08-28       Impact factor: 1.351

10.  Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes.

Authors:  Ke Zeng; Yinghua Wang; Gaoxiang Ouyang; Zhijie Bian; Lei Wang; Xiaoli Li
Journal:  Front Comput Neurosci       Date:  2015-10-29       Impact factor: 2.380

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