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Related Experiment Videos

Factors associated with mammographic parenchymal patterns.

S J Leinster1, P V Walsh, G H Whitehouse

  • 1University Department of Surgery, Royal Liverpool Hospital.

Clinical Radiology
|May 1, 1988
PubMed
Summary

Breast cancer risk factors like weight and age correlate with mammographic parenchymal patterns. These patterns differ between pre- and post-menopausal women, offering insights into breast density and cancer risk assessment.

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Area of Science:

  • Radiology
  • Oncology
  • Epidemiology

Background:

  • Mammographic parenchymal patterns are indicators of breast density.
  • Breast density is a known risk factor for breast cancer.
  • Understanding factors influencing parenchymal patterns can aid risk stratification.

Purpose of the Study:

  • To investigate the relationship between mammographic parenchymal patterns and established breast cancer risk factors.
  • To identify specific correlations in pre- and post-menopausal women.
  • To analyze the association of the DY pattern with various demographic and reproductive factors.

Main Methods:

  • Multivariate analysis of data from 5319 women undergoing breast screening.
  • Examination of correlations between parenchymal patterns and risk factors including age, weight, parity, and menopausal status.

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  • Stratified analysis for pre-menopausal and post-menopausal women.
  • Main Results:

    • In pre-menopausal women, parenchymal patterns correlated with breast size, weight, age at first pregnancy, biopsy history, and cyclical breast pain.
    • In post-menopausal women, correlations were found with breast size, weight, weight change, age at first pregnancy, biopsy history, and breastfeeding history.
    • The DY pattern showed correlations with age, breast size, weight, biopsy history, and menopausal status; in pre-menopausal women, it correlated only with weight and breast size.

    Conclusions:

    • Mammographic parenchymal patterns are associated with multiple breast cancer risk factors.
    • These associations vary significantly based on menopausal status.
    • Parenchymal pattern analysis, particularly the DY pattern, may provide valuable information for breast cancer risk assessment.