New Perspectives of Alzheimer Disease Diagnosis - the Most Popular and Future Methods
- PMID: 28969570
- DOI: 10.2174/1573406413666171002120847
New Perspectives of Alzheimer Disease Diagnosis - the Most Popular and Future Methods
Abstract
As lifespan tendency is increasing, age-related diseases are becoming a burden to the society and health care system. Mostly incurable, constitute a subject of researchers' work. In this review, the insight into the problem of Alzheimer Disease (AD) diagnostics will be given. The unquestionable diagnosis is possible only during a post-mortem examination. AD is known as one of the forms of dementia and its differentiation from mild cognitive impairments has to be improved. Despite a great diagnostic progress during last decades, medicine still needs more accurate tools for an early detection of this incurable disease. It is hoped that this strategy will enable an administration of more aggressive therapy preventing AD development. Nowadays, pharmacotherapy is based mainly on symptomatic treatment which is not able to reverse pathological changes caused by the disease. Hence, more accurate identifying testing and monitoring methods are crucial to reveal new therapeutic targets. The most popular techniques present for detecting local brain functional changes use nuclear medicine imaging devices: Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT). Constant process of improving is not possible without new radiotracers. Magnetic Resonance Imaging (MRI) is a tool for an assessment of structural changes in brain tissue. However, providing satisfying results, these methods are not completely specific and accurate. As very promising hallmarks of AD enhancing high accuracy of testing, biomarkers - tau tangles and β-amyloid plaques have been found. At the present time they are being used only as an additional examination, one day they may become a gold standard of AD diagnostics.
Keywords: Alzheimer's disease; MRI; PET; SPECT; biomarkers; diagnosis of alzheimer's disease.
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Similar articles
-
Imaging discrepancies between magnetic resonance imaging and brain perfusion single-photon emission computed tomography in the diagnosis of Alzheimer's disease, and verification with amyloid positron emission tomography.Psychogeriatrics. 2014 Jun;14(2):110-7. doi: 10.1111/psyg.12047. Psychogeriatrics. 2014. PMID: 24954834
-
Imaginem oblivionis: the prospects of neuroimaging for early detection of Alzheimer's disease.J Clin Neurosci. 2005 Apr;12(3):221-30. doi: 10.1016/j.jocn.2004.03.011. J Clin Neurosci. 2005. PMID: 15851069 Review.
-
A comparison of the diagnostic sensitivity of MRI, CBF-SPECT, FDG-PET and cerebrospinal fluid biomarkers for detecting Alzheimer's disease in a memory clinic.Dement Geriatr Cogn Disord. 2010;30(4):285-92. doi: 10.1159/000320265. Epub 2010 Sep 22. Dement Geriatr Cogn Disord. 2010. PMID: 20861634
-
[Novel neuroimaging perspectives in the diagnosis of dementia].Nervenarzt. 2008 Nov;79 Suppl 3:129-36; quiz 137. doi: 10.1007/s00115-008-2497-z. Nervenarzt. 2008. PMID: 18830576 German.
-
PET and SPECT Radiotracers for Alzheimer's Disease.Curr Med Chem. 2015;22(28):3278-304. doi: 10.2174/0929867322666150805094645. Curr Med Chem. 2015. PMID: 26242258 Review.
Cited by
-
Identification of marker genes in Alzheimer's disease using a machine-learning model.Bioinformation. 2021 Feb 28;17(2):348-355. doi: 10.6026/97320630017348. eCollection 2021. Bioinformation. 2021. PMID: 34234395 Free PMC article.
-
Smart-Data-Driven System for Alzheimer Disease Detection through Electroencephalographic Signals.Bioengineering (Basel). 2022 Mar 28;9(4):141. doi: 10.3390/bioengineering9040141. Bioengineering (Basel). 2022. PMID: 35447701 Free PMC article.
-
Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease: A Review.Comput Math Methods Med. 2018 May 20;2018:2676409. doi: 10.1155/2018/2676409. eCollection 2018. Comput Math Methods Med. 2018. PMID: 29887912 Free PMC article. Review.
-
Potential New Approaches for Diagnosis of Alzheimer's Disease and Related Dementias.Front Neurol. 2020 Jun 5;11:496. doi: 10.3389/fneur.2020.00496. eCollection 2020. Front Neurol. 2020. PMID: 32582013 Free PMC article. Review.
-
Alzheimer's Disease Prediction Using Fisher Mantis Optimization and Hybrid Deep Learning Models.Diagnostics (Basel). 2025 Jun 6;15(12):1449. doi: 10.3390/diagnostics15121449. Diagnostics (Basel). 2025. PMID: 40564769 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials