ArticleDiagnostic pathology2016
Quantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer.
Article in Diagnostic pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- The role of COX expression in the prognostication of overall survival of canine and feline cancer: A systematic review.Veterinary medicine and science · 2021Pooled it
- Utilisation of the STEAP protein family in a diagnostic setting may provide a more comprehensive prognosis of prostate cancer.PloS one · 2019Trial
- Relationship between the expressions of DLL3, ASC1, TTF-1 and Ki-67: First steps of precision medicine at SCLC.Oncotarget · 2024Observational
- Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024Article
- Phytoestrogens and Health Effects.Nutrients · 2023Review
- Digital quantitative tissue image analysis of hypoxia in resected pancreatic ductal adenocarcinomas.Frontiers in oncology · 2022Article
- Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry.Biomolecules · 2021Article
- Application of deep learning to understand resilience to Alzheimer's disease pathology.Brain pathology (Zurich, Switzerland) · 2021Article
- Using Delaunay triangulation to sample whole-specimen color from digital images.Ecology and evolution · 2021Article
- Immune Responses Vary in Preinvasive Colorectal Lesions by Tumor Location and Histology.Cancer prevention research (Philadelphia, Pa.) · 2021Article
- Automated quantification of vomeronasal glomeruli number, size, and color composition after immunofluorescent staining.Chemical senses · 2021Article
- Best Practices for Technical Reproducibility Assessment of Multiplex Immunofluorescence.Frontiers in molecular biosciences · 2021Review
- Article
- Changes in Cellular Regulatory Factors before and after Decompression of Odontogenic Keratocysts.Journal of clinical medicine · 2020Article
- Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis.Genomics, proteomics & bioinformatics · 2020Article
- MCM2, MCM4, and MCM6 in Breast Cancer: Clinical Utility in Diagnosis and Prognosis.Neoplasia (New York, N.Y.) · 2019Article
- Resistance and resilience to Alzheimer's disease pathology are associated with reduced cortical pTau and absence of limbic-predominant age-related TDP-43 encephalopathy in a community-based cohort.Acta neuropathologica communications · 2019Article
- Comparison of evaluation techniques, including digital image analysis, for MYC protein expression by immunohistochemical stain in aggressive B-cell lymphomas.Human pathology · 2019Article
- Digital Microscopy, Image Analysis, and Virtual Slide Repository.ILAR journal · 2018Article
- Principles and approaches for reproducible scoring of tissue stains in research.Laboratory investigation; a journal of technical methods and pathology · 2018Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundDigital image analysis offers advantages over traditional pathologist visual scoring of immunohistochemistry, although few studies examining the correlation and reproducibility of these methods have been performed in prostate cancer. We evaluated the correlation between digital image analysis (continuous variable data) and pathologist visual scoring (quasi-continuous variable data), reproducibility of each method, and association of digital image analysis methods with outcomes using prostate cancer tissue microarrays (TMAs) stained for estrogen receptor-β2 (ERβ2).
methodsProstate cancer TMAs were digitized and evaluated by pathologist visual scoring versus digital image analysis for ERβ2 staining within tumor epithelium. Two independent analysis runs were performed to evaluate reproducibility. Image analysis data were evaluated for associations with recurrence-free survival and disease specific survival following radical prostatectomy.
resultsWe observed weak/moderate Spearman correlation between digital image analysis and pathologist visual scores of tumor nuclei (Analysis Run A: 0.42, Analysis Run B: 0.41), and moderate/strong correlation between digital image analysis and pathologist visual scores of tumor cytoplasm (Analysis Run A: 0.70, Analysis Run B: 0.69). For the reproducibility analysis, there was high Spearman correlation between pathologist visual scores generated for individual TMA spots across Analysis Runs A and B (Nuclei: 0.84, Cytoplasm: 0.83), and very high correlation between digital image analysis for individual TMA spots across Analysis Runs A and B (Nuclei: 0.99, Cytoplasm: 0.99). Further, ERβ2 staining was significantly associated with increased risk of prostate cancer-specific mortality (PCSM) when quantified by cytoplasmic digital image analysis (HR 2.16, 95 % CI 1.02-4.57, p = 0.045), nuclear image analysis (HR 2.67, 95 % CI 1.20-5.96, p = 0.016), and total malignant epithelial area analysis (HR 5.10, 95 % CI 1.70-15.34, p = 0.004). After adjusting for clinicopathologic factors, only total malignant epithelial area ERβ2 staining was significantly associated with PCSM (HR 4.08, 95 % CI 1.37-12.15, p = 0.012).
conclusionsDigital methods of immunohistochemical quantification are more reproducible than pathologist visual scoring in prostate cancer, suggesting that digital methods are preferable and especially warranted for studies involving large sample sizes.
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