The Role of Tissue Biopsy in Diagnosing Alzheimer's Disease: Histological Perspectives

Alzheimer's disease (AD) is a progressive neurological condition characterized by memory impairment, cognitive deterioration, and alterations in behavior, becoming the primary cause of dementia worldwide. The incidence is rising, primarily due to aging demographics, with around 36 million new cases each year and an economic impact surpassing US$600 billion. Alzheimer's disease can be categorized into various types, including inherited, sporadic, early-onset, late-onset, and those characterized by fast cognitive decline. Timely diagnosis is crucial for enhancing the quality of life and minimizing treatment expenses. Alzheimer's disease diagnosis often depends on clinical evaluations and neuroimaging methods, including MRI and PET scans, to identify amyloid plaques and tau protein tangles in the brain. Cognitive assessment instruments, like the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), are employed to assess cognitive function. Notwithstanding progress in diagnostic techniques, obstacles persist in identifying early-stage cognitive loss and distinguishing Alzheimer's disease from other forms of dementia. The escalating burden of Alzheimer's disease underscores the necessity for ongoing research into better diagnostic and treatment strategies.

Authors

Institutions

Publication Details

Journal
Journal of Medical and Life Science
Published
2025-03-09
DOI
https://doi.org/10.21608/jmals.2025.348212.1038
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Tissue Biopsy in Diagnosing Alzheimer's Disease: Histological Perspectives

Mohanad A. Hussein, Anwer Jaber Faisal, Alaa Saadi Abbood
1 citations
Journal of Medical and Life Science
Cell Image Analysis Techniques
1.63
article

The Role of Tissue Biopsy in Diagnosing Alzheimer's Disease: Histological Perspectives

Mohanad A. Hussein, Anwer Jaber Faisal, Alaa Saadi Abbood
article en
1 citations

Abstract

Alzheimer's disease (AD) is a progressive neurological condition characterized by memory impairment, cognitive deterioration, and alterations in behavior, becoming the primary cause of dementia worldwide. The incidence is rising, primarily due to aging demographics, with around 36 million new cases each year and an economic impact surpassing US$600 billion. Alzheimer's disease can be categorized into various types, including inherited, sporadic, early-onset, late-onset, and those characterized by fast cognitive decline. Timely diagnosis is crucial for enhancing the quality of life and minimizing treatment expenses. Alzheimer's disease diagnosis often depends on clinical evaluations and neuroimaging methods, including MRI and PET scans, to identify amyloid plaques and tau protein tangles in the brain. Cognitive assessment instruments, like the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), are employed to assess cognitive function. Notwithstanding progress in diagnostic techniques, obstacles persist in identifying early-stage cognitive loss and distinguishing Alzheimer's disease from other forms of dementia. The escalating burden of Alzheimer's disease underscores the necessity for ongoing research into better diagnostic and treatment strategies.

Journal of Medical and Life ScienceVol. 7(1)
Mustansiriyah University (IQ)
Openalex Percentile: Top 16%
Cell Image Analysis Techniques
1.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.