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Meiosis vs. Mitosis

Meiosis vs. Mitosis

Cell division is necessary for growth and reproduction in organisms. Mitosis aids cell growth and development by dividing somatic cells. In contrast, meiosis causes the division of germ cells and plays an essential role in sexual reproduction. Due to their unique functional requirements, mitosis and meiosis differ from each other in multiple aspects.
Before the start of mitosis and meiosis I, the cell synthesizes DNA, resulting in two homologous copies of each chromosome. DNA synthesis is...

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An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

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The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.

Sherman Lin¹, Christopher Tran¹, Ela Bandari²

¹Department of Pathology and Laboratory Medicine, Western University and London Health Sciences Centre, London, Canada.

International Journal of Surgical Pathology

|April 17, 2024

Summary

This summary is machine-generated.

Pathologists showed moderate agreement when identifying mitotic figures in cancer images. This largest international study highlights variability in interpretation, impacting tumor diagnosis and management.

Keywords:

digital pathology international collaboration mitotic figure mimics mitotic figures social media

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Live Imaging of Mitosis in the Developing Mouse Embryonic Cortex

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Published on: June 4, 2014

Area of Science:

Oncology
Pathology
Computational Biology

Background:

Accurate identification of mitotic figures is crucial for cancer diagnosis, grading, and classification.
There is limited research on the consistency of mitotic figure interpretation among pathologists.

Purpose of the Study:

To assess the inter-rater reliability in identifying mitotic figures among an international group of pathologists.
To create a large, consensus-based dataset of mitotic figures for future research and training.

Main Methods:

Recruited international pathologists to annotate mitotic figures from The Cancer Genome Atlas (TCGA) datasets.
Created a dataset of 1010 mitotic figure tiles at 40x magnification.
Redistributed the dataset for pathologists to review and classify each tile.

Main Results:

Achieved a median agreement rate of 80.2% among pathologists for mitotic figure identification.
Individual mitotic figure tiles showed a median agreement of 87.1% with fair inter-rater agreement (kappa = 0.284).
Mitotic figures in prometaphase exhibited lower agreement rates compared to other phases.

Conclusions:

This study represents the largest international consensus on mitotic figures, providing a valuable training dataset.
The observed range in agreement indicates diverse interpretation criteria used by pathologists.
Variability in mitotic figure identification may have significant implications for tumor diagnostics and clinical management.