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Mammography: interobserver variability in breast density assessment.

E A Ooms1, H M Zonderland, M J C Eijkemans

  • 1Department of Obstetrics and Gynaecology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. e.ooms@erasmusmc.nl

Breast (Edinburgh, Scotland)
|November 24, 2007
PubMed
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Breast density assessment using the Breast Imaging Reporting and Data System (BI-RADS) shows substantial agreement among radiologists. This classification is useful for standardizing breast cancer risk factor studies.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Breast density is a significant risk factor for breast cancer.
  • Standardized assessment of mammographic breast density is crucial for research and clinical practice.

Purpose of the Study:

  • To evaluate interobserver variability in breast density assessment using the Breast Imaging Reporting and Data System (BI-RADS).
  • To explore associations between breast density and breast cancer risk factors.

Main Methods:

  • Four experienced breast radiologists assessed 57 mammograms using BI-RADS density categories (1-4).
  • Interobserver agreement was quantified using weighted kappa statistics and intraclass correlation coefficient (ICC).

Main Results:

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  • Weighted kappa values ranged from 0.65 to 0.84, indicating substantial to almost perfect agreement.
  • The overall weighted kappa (ICC) was 0.77 (95% CI: 0.69-0.85).
  • Body mass index showed an inverse association with high breast density.

    • Conclusions:

    • The BI-RADS classification demonstrates substantial interobserver agreement for mammographic breast density assessment.
    • BI-RADS is a valuable tool for standardizing breast density evaluation in multicenter studies.
    • Further research can leverage this standardized method to investigate breast cancer risk factors.