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

Prognostic indicators in breast cancer--morphometric methods

J P Baak, P H Kurver, A J De Snoo-Niewlaat

    Histopathology
    |May 1, 1982
    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

    Guidelines for the Cytopathologic Diagnosis of Epithelioid and Mixed-Type Malignant Mesothelioma: a secondary publication.

    Cytopathology : official journal of the British Society for Clinical Cytology·2015
    Same author

    Endometrial cells in liquid-based cervical cytology: a diagnostic pitfall solved by preparing cytohistology from the residual thin layer sample.

    Acta cytologica·2011
    Same author

    Quantitative immunohistochemistry of estrogen and progesterone receptor positivity in ovarian tumors : a rapid and reliable stereological approach.

    Methods in molecular medicine·2011
    Same author

    Increased diagnostic accuracy of atypical glandular cells in cervical liquid-based cytology using cell blocks.

    Cytopathology : official journal of the British Society for Clinical Cytology·2010
    Same author

    Potential clinical uses of laser scan microscopy.

    Applied optics·2010
    Same author

    Theory and practice of combining coagulant fixation and microwave histoprocessing.

    Biotechnic & histochemistry : official publication of the Biological Stain Commission·2008
    Same journal

    Myxoid neoplasms with MAP3K kinase fusion: a study of 39 cases.

    Histopathology·2026
    Same journal

    TROP2 immunoreactivity in pulmonary large cell neuroendocrine carcinoma.

    Histopathology·2026
    Same journal

    Malignant adenomyoepithelioma of the breast: seven cases illustrating morphological diversity and diagnostic challenges.

    Histopathology·2026
    Same journal

    A CRX-positive RB1-deficient bone tumour with a retinoblastoma-like DNA methylation profile.

    Histopathology·2026
    Same journal

    Perivascular epithelioid cell tumours of the genitourinary tract: clinicopathological features and molecular landscape.

    Histopathology·2026
    Same journal

    Navigating diagnostic challenges in low-grade spindle cell lesions of the breast: a retrospective review.

    Histopathology·2026
    See all related articles

    Quantitative morphometry accurately predicts breast cancer patient outcomes, outperforming traditional staging methods. This method aids in selecting patients for chemotherapy by identifying those at higher risk of metastasis.

    Area of Science:

    • Oncology
    • Pathology
    • Biostatistics

    Background:

    • Predicting individual breast cancer patient outcomes is crucial for treatment decisions.
    • Traditional staging and grading methods have limitations in accurately forecasting clinical course.
    • Morphometric analysis offers a potential quantitative approach to prognostication.

    Purpose of the Study:

    • To evaluate the efficacy of morphometric methods in predicting the clinical course of individual breast cancer patients.
    • To compare the predictive accuracy of morphometry with established staging and grading systems.
    • To determine if morphometric data can aid in selecting patients for adjuvant chemotherapy.

    Main Methods:

    • Tumor diameter, cellularity index, mitotic activity index, and quantitative nuclear features were measured.

    Related Experiment Videos

  • Histological grades and nuclear features were assessed.
  • Discriminant analysis was used to classify patients as survivors or non-survivors based on morphometric data and traditional methods.

    • Main Results:

    • Morphometric parameters, particularly cellularity and mitotic activity indices, showed significant differences between survivors and non-survivors.
    • Discriminant analysis of quantitative microscopy data achieved 82% correct classification of patient outcomes.
    • Morphometry outperformed axillary lymph node status (59%), tumor diameter (64%), TNM system (56%), and TNM with grade (64%) in predicting outcomes.

    Conclusions:

    • Quantitative morphometry provides a more accurate prediction of individual breast cancer patient outcomes than conventional staging and grading methods.
    • Morphometric analysis demonstrates potential utility in identifying patients who may benefit from adjuvant chemotherapy.
    • This technique offers a promising tool for personalized cancer prognostication and treatment selection.