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 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).
Armstrong
R A
RA
Vision Sciences, Aston University, Birmingham B4 7ET, UK. R.A.Armstrong@aston.ac.uk
D000544:Alzheimer Disease / Q000473:pathology; D006801:Humans; D019636:Neurodegenerative Diseases / Q000453:epidemiology / Q000473:pathology*; D010336:Pathology / Q000379:methods* / Q000706:statistics & numerical data; D018401:Sample Size; D013223:Statistics as Topic