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Related Experiment Videos

Mammographic density using two computer-based methods in an isoflavone trial.

Masako Kataoka1, Charlotte Atkinson, Ruth Warren

  • 1Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK. mk435@cam.ac.uk

Maturitas
|May 23, 2008
PubMed
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Different computer methods for assessing mammographic density yield varied results. The semi-automated Cumulus method showed changes over time, unlike the fully automated standard mammogram form (SMF).

Area of Science:

  • Radiology and Medical Imaging
  • Biomarkers and Risk Assessment
  • Computational Methods in Medicine

Background:

  • Mammographic density is a key indicator of breast cancer risk.
  • Computer-assisted methods offer continuous data for precise density analysis.
  • Evaluating different automated methods is crucial for accurate risk assessment.

Purpose of the Study:

  • To compare the semi-automated Cumulus and fully automated standard mammogram form (SMF) methods for mammographic density assessment.
  • To analyze mammographic density changes over time and between intervention and control groups in a randomized trial.
  • To assess the reliability and differences in density measurements between the two computer-based techniques.

Main Methods:

  • Digitization of mammograms from 177 women participating in a randomized placebo-controlled trial.

Related Experiment Videos

  • Density estimation using Cumulus (two readers) and SMF.
  • Statistical analysis including inter-reader and left-right correlation, paired t-tests, and Student's t-tests to evaluate changes and group differences.

    • Main Results:

    • High inter-reader correlation for Cumulus (0.90 dense area, 0.86 percentage density).
    • Cumulus showed a significant decrease in percentage density over time, while SMF did not.
    • A marginally significant reduction in percentage density by Cumulus in the intervention group compared to controls (p=0.04), which weakened after adjustment.

    Conclusions:

    • Different computer-based methods for mammographic density assessment can lead to distinct conclusions.
    • The findings highlight potential discrepancies between semi-automated and fully automated density measurement techniques.
    • Further development of robust, fully automated methods for mammographic density assessment is needed.