Quantifying the pathology of neurodegenerative disorders

Quantitative measurements, sampling strategies and data analysis

Richard A. Armstrong

Research output: Contribution to journalArticle

Abstract

The use of quantitative methods has become increasingly important in the study of neurodegenerative disease. Disorders such as Alzheimer's disease (AD) are characterized by the formation of discrete, microscopic, pathological lesions which play an important role in pathological diagnosis. This article reviews the advantages and limitations of the different methods of quantifying the abundance of pathological lesions in histological sections, including estimates of density, frequency, coverage, and the use of semiquantitative scores. The major sampling methods by which these quantitative measures can be obtained from histological sections, including plot or quadrat sampling, transect sampling, and point-quarter sampling, are also described. In addition, the data analysis methods commonly used to analyse quantitative data in neuropathology, including analyses of variance (ANOVA) and principal components analysis (PCA), are discussed. These methods are illustrated with reference to particular problems in the pathological diagnosis of AD and dementia with Lewy bodies (DLB).

Original languageEnglish
Pages (from-to)521-529
Number of pages9
JournalHistopathology
Volume42
Issue number6
DOIs
Publication statusPublished - May 2003

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Neurodegenerative Diseases
Pathology
Alzheimer Disease
Lewy Bodies
Principal Component Analysis
Analysis of Variance

Keywords

  • abundance
  • alzheimer's disease
  • dementia with Lewy bodies
  • neurodegenerative disorders
  • quantitative measurements
  • sampling methods

Cite this

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Quantifying the pathology of neurodegenerative disorders : Quantitative measurements, sampling strategies and data analysis. / Armstrong, Richard A.

In: Histopathology, Vol. 42, No. 6, 05.2003, p. 521-529.

Research output: Contribution to journalArticle

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