ArticleDiagnostic pathology2019
Validation of mitotic cell quantification via microscopy and multiple whole-slide scanners.
Article in Diagnostic pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- 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
- Optimization of Mitotic Index Quantification Using the Amnis ImageStream Imaging Flow Cytometer.Bulletin of experimental biology and medicine · 2025Article
- The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.International journal of surgical pathology · 2024Article
- Computational pathology: A survey review and the way forward.Journal of pathology informatics · 2024Review
- Task design for crowdsourced glioma cell annotation in microscopy images.Scientific reports · 2024Article
- How to measure your microscope's HPF. A critical guide for residents.Pathologica · 2023Review
- Application of digital pathology and machine learning in the liver, kidney and lung diseases.Journal of pathology informatics · 2023Review
- Histology Image Viewer and Converter (HIVC): A High-Speed Freeware Software to View and Convert Whole Slide Histology Images.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023Article
- A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma Histopathology.Cancers · 2022Article
- Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.Veterinary pathology · 2022Article
- Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm.Diagnostics (Basel, Switzerland) · 2022Article
- Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study.European radiology · 2021Article
- Counting mitoses: SI(ze) matters!Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021Review
- A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.Journal of pathology informatics · 2021Article
- Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.Diagnostic pathology · 2020Article
- (Re) Defining the High-Power Field for Digital Pathology.Journal of pathology informatics · 2020Article
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13 authors.
Funding
Abstract
backgroundThe establishment of whole-slide imaging (WSI) as a medical diagnostic device allows that pathologists may evaluate mitotic activity with this new technology. Furthermore, the image digitalization provides an opportunity to develop algorithms for automatic quantifications, ideally leading to improved reproducibility as compared to the naked eye examination by pathologists. In order to implement them effectively, accuracy of mitotic figure detection using WSI should be investigated. In this study, we aimed to measure pathologist performance in detecting mitotic figures (MFs) using multiple platforms (multiple scanners) and compare the results with those obtained using a brightfield microscope.
methodsFour slides of canine oral melanoma were prepared and digitized using 4 WSI scanners. In these slides, 40 regions of interest (ROIs) were demarcated, and five observers identified the MFs using different viewing modes: microscopy and WSI. We evaluated the inter- and intra-observer agreements between modes with Cohen's Kappa and determined "true" MFs with a consensus panel. We then assessed the accuracy (agreement with truth) using the average of sensitivity and specificity.
resultsIn the 40 ROIs, 155 candidate MFs were detected by five pathologists; 74 of them were determined to be true MFs. Inter- and intra-observer agreement was mostly "substantial" or greater (Kappa = 0.594-0.939). Accuracy was between 0.632 and 0.843 across all readers and modes. After averaging over readers for each modality, we found that mitosis detection accuracy for 3 of the 4 WSI scanners was significantly less than that of the microscope (p = 0.002, 0.012, and 0.001).
conclusionsThis study is the first to compare WSIs and microscopy in detecting MFs at the level of individual cells. Our results suggest that WSI can be used for mitotic cell detection and offers similar reproducibility to the microscope, with slightly less accuracy.
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