Quantifying the pathology of neurodegenerative disorders: quantitative measurements, sampling strategies and data analysis
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...
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Published in | Histopathology Vol. 42; no. 6; pp. 521 - 529 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Science Ltd
01.06.2003
Blackwell |
Subjects | |
Online Access | Get full text |
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Summary: | 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). |
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Bibliography: | ArticleID:HIS1601 ark:/67375/WNG-8HBJ45C3-5 istex:D51BD249F4BE8285DA9CC74A9B69C233F3AD2AD7 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 0309-0167 1365-2559 |
DOI: | 10.1046/j.1365-2559.2003.01601.x |