Digital pathology and image analysis for robust high-throughput quantitative assessment of Alzheimer disease neuropathologic changes.
J Neuropathol Exp Neurol
; 71(12): 1075-85, 2012 Dec.
Article
em En
| MEDLINE
| ID: mdl-23147505
ABSTRACT
Quantitative neuropathologic methods provide information that is important for both research and clinical applications. The technologic advancement of digital pathology and image analysis offers new solutions to enable valid quantification of pathologic severity that is reproducible between raters regardless of experience. Using an Aperio ScanScope XT and its accompanying image analysis software, we designed algorithms for quantitation of amyloid and tau pathologies on 65 ß-amyloid (6F/3D antibody) and 48 phospho-tau (PHF-1)-immunostained sections of human temporal neocortex. Quantitative digital pathologic data were compared with manual pathology counts. There were excellent correlations between manually counted and digitally analyzed neuropathologic parameters (R² = 0.56-0.72). Data were highly reproducible among 3 participants with varying degrees of expertise in neuropathology (intraclass correlation coefficient values, >0.910). Digital quantification also provided additional parameters, including average plaque area, which shows statistically significant differences when samples are stratified according to apolipoprotein E allele status (average plaque area, 380.9 µm² in apolipoprotein E [Latin Small Letter Open E]4 carriers vs 274.4 µm² for noncarriers; p < 0.001). Thus, digital pathology offers a rigorous and reproducible method for quantifying Alzheimer disease neuropathologic changes and may provide additional insights into morphologic characteristics that were previously more challenging to assess because of technical limitations.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Diagnóstico por Computador
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Neocórtex
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Doença de Alzheimer
Tipo de estudo:
Diagnostic_studies
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Guideline
Limite:
Female
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Humans
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Male
Idioma:
En
Ano de publicação:
2012
Tipo de documento:
Article