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Front Biosci (Landmark Ed). 2018 Jan 1;23:671-725.

Medical imaging diagnosis of early Alzheimer's disease.

Author information

1
Information Technology Department, Faculty of Computers and Information, Mansoura University, 35516, Mansoura, Egypt, and BioImaging Laboratory, Department of Bioengineering, University of Louisville, 40292.
2
Information Technology Department, Faculty of Computers and Information, Mansoura University, Egypt, and Bioengineering Department, University of Louisville, Louisville, KY, USA.
3
Electrical and Computer Engineering Department, Abu Dhabi University, Abu Dhabi, UAE.
4
Information Technology Department, Faculty of Computers and Information, Mansoura University, 35516, Mansoura, Egypt.
5
Department of Pediatrics, University of South Carolina, SC, US.
6
Department of Neurology, University of Louisville, Kentucky, USA.
7
Department of Bioengineering, University of Louisville, 423 Lutz Hall, Louisville, KY, aselba01@louisville.edu.
8
Department of Electrical and Computer Engineering, Abu Dhabi University, UAE.

Abstract

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases that influences the central nervous system, often leading to dire consequences for quality of life. The disease goes through some stages mainly divided into early, moderate, and severe. Among them, the early stage is the most important as medical intervention has the potential to alter the natural progression of the condition. In practice, the early diagnosis is a challenge since the neurodegenerative changes can precede the onset of clinical symptoms by 10-15 years. This factor along with other known and unknown ones, hinder the ability for the early diagnosis and treatment of AD. Numerous research efforts have been proposed to address the complex characteristics of AD exploiting various tests including brain imaging that is massively utilized due to its powerful features. This paper aims to highlight our present knowledge on the clinical and computer-based attempts at early diagnosis of AD. We concluded that the door is still open for further research especially with the rapid advances in scanning and computer-based technologies.

PMID:
28930568
[Indexed for MEDLINE]

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