Literature DB >> 27276723

[Brain imaging of Alzheimer' disease: state of the art and perspectives for clinicians].

Sara Trombella, Frédéric Assal, Dina Zekry, Gabriel Gold, Panteleimon Giannakopoulos, Valentina Garibotto, Jean-François Démonet, Giovanni B Frisoni.   

Abstract

To improve the clinical detection of Alzheimer's disease (AD) new diagnostic criteria have been proposed, based on biomarkers of synaptic dysfunction, AD-related neurodegeneration, and Aβ cerebral amyloidosis. Magnetic resonance imaging (MRI) and position emission tomography (PET) neuroimaging can be configured as powerful means for the detection of medial-temporal atrophy, reduced uptake of 18F-FDG PET or and increased retention of Aβ amyloid protein by amyloïd-PET. In this review, we will discuss these promising techniques that allow assessing in vivo AD pathology and help clinicians to better diagnose and follow-up patients, particularly in clinical trials using disease-modifying treatments.

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Year:  2016        PMID: 27276723

Source DB:  PubMed          Journal:  Rev Med Suisse        ISSN: 1660-9379


  1 in total

1.  Computer-Aided Diagnosis of Alzheimer's Disease through Weak Supervision Deep Learning Framework with Attention Mechanism.

Authors:  Shuang Liang; Yu Gu
Journal:  Sensors (Basel)       Date:  2020-12-31       Impact factor: 3.576

  1 in total

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