ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2022
Defining the area of mitoses counting in invasive breast cancer using whole slide image.
Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Evaluating AI-Based Mitosis Detection for Breast Carcinoma in Digital Pathology: A Clinical Study on Routine Practice Integration.Diagnostics (Basel, Switzerland) · 2025Article
- Viability of Whole-Slide Imaging for Intraoperative Touch Imprint Cytological Diagnosis of Axillary Sentinel Lymph Nodes in Breast Cancer Patients.Diagnostic cytopathology · 2025Article
- The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.International journal of surgical pathology · 2024Article
- Article
- A novel dilated contextual attention module for breast cancer mitosis cell detection.Frontiers in physiology · 2024Article
- Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform.Pathology oncology research : POR · 2024Article
- Eye for an AI: More-than-seeing, fauxtomation, and the enactment of uncertain data in digital pathology.Social studies of science · 2023Article
- Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review.Cancers · 2023Review
- 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
- 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
- Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis.Journal of pathology informatics · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although counting mitoses is part of breast cancer grading, concordance studies showed low agreement. Refining the criteria for mitotic counting can improve concordance, particularly when using whole slide images (WSIs). This study aims to refine the methodology for optimal mitoses counting on WSI. Digital images of 595 hematoxylin and eosin stained sections were evaluated. Several morphological criteria were investigated and applied to define mitotic hotspots. Reproducibility, representativeness, time, and association with outcome were the criteria used to evaluate the best area size for mitoses counting. Three approaches for scoring mitoses on WSIs (single and multiple annotated rectangles and multiple digital high-power (×40) screen fields (HPSFs)) were evaluated. The relative increase in tumor cell density was the most significant and easiest parameter for identifying hotspots. Counting mitoses in 3 mm
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