ArticlePloS one2013
Evaluation of mitotic activity index in breast cancer using whole slide digital images.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 51 citations in OpenAlex.
- Application of gradient-consensus Richardson-Lucy deconvolution to noisy undersampled brightfield microscopy data.Biomedical optics express · 2026Article
- Comparative Analysis of Conventional and Digital Microscopy for Counting Mitotic Figures in Cutaneous Neoplasms of Dogs and Cats.Animals : an open access journal from MDPI · 2026Article
- The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.International journal of surgical pathology · 2024Article
- Artificial intelligence's impact on breast cancer pathology: a literature review.Diagnostic pathology · 2024Review
- Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Improving mitotic cell counting accuracy and efficiency using phosphohistone-H3 (PHH3) antibody counterstained with haematoxylin and eosin as part of breast cancer grading.Histopathology · 2023Article
- Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow.Journal of pathology informatics · 2023Article
- The characteristics and clinical significance of atypical mitosis in breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Knockdown of CKAP2 Inhibits Proliferation, Migration, and Aggregate Formation in Aggressive Breast Cancer.Cancers · 2022Article
- Defining the area of mitoses counting in invasive breast cancer using whole slide image.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.Veterinary pathology · 2022Article
- Validation of digital microscopy: Review of validation methods and sources of bias.Veterinary pathology · 2022Review
- Pro-Resolving Lipid Mediator Resolvin E1 Mitigates the Progress of Diethylnitrosamine-Induced Liver Fibrosis in Sprague-Dawley Rats by Attenuating Fibrogenesis and Restricting Proliferation.International journal of molecular sciences · 2020Article
- Digital Pathology: Advantages, Limitations and Emerging Perspectives.Journal of clinical medicine · 2020Review
- Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.Diagnostic pathology · 2020Article
- Maresin 1, a Proresolving Lipid Mediator, Ameliorates Liver Ischemia-Reperfusion Injury and Stimulates Hepatocyte Proliferation in Sprague-Dawley Rats.International journal of molecular sciences · 2020Article
- Deep learning assisted mitotic counting for breast cancer.Laboratory investigation; a journal of technical methods and pathology · 2019Article
- Breast Cancer Prognostic Factors in the Digital Era: Comparison of Nottingham Grade using Whole Slide Images and Glass Slides.Journal of pathology informatics · 2019Article
- Enhanced anti-mammary gland cancer activities of tamoxifen-loaded erythropoietin-coated drug delivery system.PloS one · 2019Article
- Automated Computational Detection, Quantitation, and Mapping of Mitosis in Whole-Slide Images for Clinically Actionable Surgical Pathology Decision Support.Journal of pathology informatics · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMitotic Activity Index (MAI) is an important independent prognostic factor and an integral part of the breast cancer grading system. Thus, correct estimation of this prognostically relevant feature is essential for guiding treatment decision and assessing patient prognosis. The aim of this study was to validate the use of high resolution Whole Slide Images (WSI) in estimating MAI in breast cancer specimens.
methodsMAI was evaluated in 100 consecutive breast cancer specimens by three observers on two occasions, microscopically and on WSI with a wash out period of 4 months. MAI was also translated to mitotic scores as in grading. Inter- and intra-observer agreement between microscopic and digital MAI counts and scores was measured.
resultsAlmost perfect inter-observer agreements were obtained from counting MAI using a conventional microscope (intra-class correlation coefficient (ICCC) 0.879) as well as on WSI (ICCC 0.924). K coefficients reflected good inter-observer agreements among observers' microscopic mitotic scores (average kappa 0.642). Comparable results were also observed among digital mitotic scores (average kappa 0.635). There was strong to perfect intra-observer agreements between MAI counts and mitotic scores for the two diagnostic modalities (ICCC 0.716-0.863, kappa 0.506-0.617). There were no significant differences in mitotic scores using both diagnostic modalities.
conclusionScoring mitoses using WSI in breast cancer seems to be just as reliable and reproducible as when using a microscope. Further development of software and image quality will definitely encourage the use of WSI in routine pathology practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.