Literature DB >> 19751127

Quantitative evaluation of Alzheimer's disease.

Anna Caroli1, Giovanni B Frisoni.   

Abstract

Alzheimer's disease (AD) can be definitively diagnosed only by histopathologic examination of brain tissue; the identification and differential diagnosis of AD is especially challenging in its early stages. Neuroimaging is playing an increasingly relevant role in the identification and quantification of AD in vivo, especially in the preclinical stages, when therapeutic intervention could be more effective. Neuroimaging enables quantification of brain volume loss (structural imaging), detection of early cerebral dysfunction (functional imaging), probing into the finest cerebral structures (microstructural imaging), and investigation of amyloid plaque and neurofibrillary tangle build-up (amyloid imaging). Throughout the years, several imaging tools have been developed, ranging from simple visual rating scales to sophisticated computerized algorithms. As recently revised criteria for AD require quantitative evaluation of biomarkers mostly based on imaging, this paper provides an overview of the main neuroimaging tools which might be used presently or in the future in routine clinical practice for AD diagnosis.

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Year:  2009        PMID: 19751127     DOI: 10.1586/erd.09.35

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  3 in total

Review 1.  The quantitative neuroradiology initiative framework: application to dementia.

Authors:  Olivia Goodkin; Hugh Pemberton; Sjoerd B Vos; Ferran Prados; Carole H Sudre; James Moggridge; M Jorge Cardoso; Sebastien Ourselin; Sotirios Bisdas; Mark White; Tarek Yousry; John Thornton; Frederik Barkhof
Journal:  Br J Radiol       Date:  2019-08-01       Impact factor: 3.039

2.  Applause sign in Alzheimer's disease: relationships to cognitive profile and severity of illness.

Authors:  Simona Luzzi; Katia Fabi; Martina Pesallaccia; Mauro Silvestrini; Leandro Provinciali
Journal:  J Neurol       Date:  2012-07-20       Impact factor: 4.849

3.  Aβ40 oligomers identified as a potential biomarker for the diagnosis of Alzheimer's disease.

Authors:  Carol Man Gao; Alice Y Yam; Xuemei Wang; Erika Magdangal; Cleo Salisbury; David Peretz; Ronald N Zuckermann; Michael D Connolly; Oskar Hansson; Lennart Minthon; Henrik Zetterberg; Kaj Blennow; Joseph P Fedynyshyn; Sophie Allauzen
Journal:  PLoS One       Date:  2010-12-30       Impact factor: 3.240

  3 in total

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