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A comparison of five methods of measuring mammographic density: a case-control study
Susan M Astley1,2, Elaine F Harkness3,4, Jamie C Sergeant5,6
1Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Stopford Building, Oxford Road, Manchester, M13 9PT, UK. Sue.Astley@manchester.ac.uk.
Breast Cancer Research : BCR
|February 7, 2018
Summary
Visual analogue scale (VAS) and automated measures like Volpara and Densitas effectively predict breast cancer risk. These mammographic density assessments aid in stratifying cancer screening and prevention strategies.
Area of Science:
- Radiology and Imaging
- Oncology
- Biostatistics
Background:
- High mammographic density is linked to increased breast cancer risk and reduced detection rates.
- Accurate mammographic density measures are crucial for effective cancer screening and prevention.
- This study evaluates various mammographic density measures for their predictive value in breast cancer diagnosis.
Purpose of the Study:
- To compare five mammographic density measures for their association with breast cancer diagnosis.
- To identify which density measures are most predictive of both screen-detected and subsequent breast cancers.
- To assess the utility of automated density measures for risk stratification in breast cancer screening.
Main Methods:
- The study analyzed data from the "Predicting Risk Of Cancer At Screening" (PROCAS) study.
- Mammographic density was assessed using visual analogue scale (VAS), Cumulus, Densitas, Quantra, and Volpara.
- Conditional logistic regression was used to estimate odds ratios, adjusting for known risk factors.
Main Results:
- Visual analogue scale (VAS) was the strongest predictor of screen-detected cancer (OR 4.37).
- Automated measures Volpara (OR 2.42), Densitas (OR 2.17), and Cumulus (OR 2.12) also showed significant associations with breast cancer.
- Quantra did not show a significant association with breast cancer risk (OR 1.02). Similar trends were observed for subsequent cancers.
Conclusions:
- Visual density assessment shows a strong relationship with cancer risk but is impractical for population-wide screening.
- Automated measures, particularly Volpara and Densitas, offer practical and effective methods for breast cancer risk stratification.
- These findings support the use of automated mammographic density measures in refining breast cancer screening protocols.
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