Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computerized nuclear morphometry as an objective method for characterizing human cancer cell populations

B Stenkvist, S Westman-Naeser, J Holmquist

    Cancer Research
    |December 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Advancing a Global Oral Health Research Agenda.

    Journal of dental research·2026
    Same author

    The IADR Policy and Position Statements on Safety of Dental Amalgam.

    Journal of dental research·2026
    Same author

    Implementation Research Is Underdeveloped in Oral Health: Bridging the Gap.

    Journal of dental research·2026
    Same author

    The Bangkok Declaration: A Global Mandate for Oral Health Research and Universal Health Coverage.

    Journal of dental research·2026
    Same author

    The IADR Policy Statement on Antimicrobial Resistance.

    Journal of dental research·2025
    Same author

    The AADOCR Position Statement on Topical Fluoride.

    Journal of dental research·2025
    Same journal

    CDK2 Inhibition Exerts RB-Independent Antitumor Activity in CDK4/6 Inhibitor-Resistant HR+/HER2- Breast Cancer.

    Cancer research·2026
    Same journal

    A Clinically Integrated Pediatric Patient-Derived Xenograft Program Enables Evaluation of Cohort and Patient-Specific Biology and Therapeutic Strategies.

    Cancer research·2026
    Same journal

    Editor's Note: Heterodimerization of Insulin-like Growth Factor Receptor/Epidermal Growth Factor Receptor and Induction of Survivin Expression Counteract the Antitumor Action of Erlotinib.

    Cancer research·2026
    Same journal

    Editor's Note: Deguelin Analogue SH-1242 Inhibits Hsp90 Activity and Exerts Potent Anticancer Efficacy with Limited Neurotoxicity.

    Cancer research·2026
    Same journal

    Retraction: Two Functional Epitopes of Pigment Epithelial-Derived Factor Block Angiogenesis and Induce Differentiation in Prostate Cancer.

    Cancer research·2026
    Same journal

    Editor's Note: Chronic Stress Facilitates Lung Tumorigenesis by Promoting Exocytosis of IGF2 in Lung Epithelial Cells.

    Cancer research·2026
    See all related articles

    Computerized nuclear morphometry (CNM) offers a reproducible method for breast cancer grading, outperforming subjective assessments. This new technique provides a numerical score correlating with nuclear atypia, enhancing diagnostic accuracy.

    Area of Science:

    • Oncology
    • Pathology
    • Biomedical Engineering

    Background:

    • Conventional breast cancer grading relies on subjective histological assessment, which can lead to inter-observer variability.
    • Accurate nuclear detail measurement is crucial for cancer classification and prognosis.

    Purpose of the Study:

    • To introduce and evaluate a novel method, computerized nuclear morphometry (CNM), for quantifying nuclear features in breast cancer.
    • To compare the reproducibility and correlation of CNM with existing subjective grading systems.

    Main Methods:

    • Developed and applied computerized nuclear morphometry (CNM) to analyze chrome alum gallocyanin-stained nuclei from 137 human breast cancer samples.
    • Examined 100 nuclei per tumor, assessing reproducibility within and between tumor samples.

    Related Experiment Videos

  • Compared CNM scores with WHO and Black grading systems and tumor classifications.

    • Main Results:

    • CNM provided a multivariate numerical score that correlated well with nuclear atypia, showing higher reproducibility than subjective grading.
    • CNM demonstrated good reproducibility within individual tumors and between different tumor samples, suggesting geometric monoclonal characteristics.
    • CNM showed moderate correlations with WHO (0.43) and Black (0.48) grading systems, with distinct patterns observed in medullary and mucous tumors.

    Conclusions:

    • Computerized nuclear morphometry (CNM) presents a more objective and reproducible method for assessing nuclear atypia in breast cancer compared to traditional subjective methods.
    • CNM's findings suggest potential for improved breast cancer classification and warrant further investigation into its correlation with tumor progression and prognosis.