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Related Experiment Videos

Interobserver variation in breast cancer grading: a statistical modeling approach.

Nilotpal Chowdhury1, Muktha R Pai, Flora D Lobo

  • 1Department of Pathology, Kasturba Medical College, Mangalore, India. nilotpal_c@hotmail.com

Analytical and Quantitative Cytology and Histology
|August 25, 2006
PubMed
Summary

Breast cancer grading shows high reliability among graders, with low random error. However, systematic differences in classification thresholds impact agreement, suggesting a need for improved intradepartmental communication.

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Area of Science:

  • Oncology
  • Pathology
  • Biostatistics

Background:

  • Accurate breast cancer grading is crucial for treatment decisions.
  • Inter-observer variability in histopathological grading can affect patient management.

Purpose of the Study:

  • To assess random and systematic errors in breast cancer grading.
  • To identify sources of disagreement among pathologists.
  • To measure the reliability of breast cancer grading.

Main Methods:

  • Five observers independently graded 50 breast carcinoma slides using Nottingham criteria.
  • Polychoric correlation was employed to measure inter-observer association.
  • Stuart-Maxwell and McNemar tests evaluated the equality of grading thresholds.

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Main Results:

  • High polychoric correlations indicated low random error (mean > 0.60 for all parameters).
  • Significant differences in thresholds were observed for final grade, tubule formation, nuclear pleomorphism, and mitotic counts.
  • Threshold differences led to lower raw agreement despite high underlying reliability.

Conclusions:

  • Breast cancer grading demonstrates high reliability and low random error among experienced graders.
  • Systematic differences in classification thresholds represent a key source of disagreement.
  • Intradepartmental discussions are recommended to improve grading consistency and agreement.