Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds
Breast Cancer Research Dec 19, 2018
Nguyen TL, et al. - Considering the case–control studies indicating mammographic density as a better risk factor when defined at higher than conventional pixel-brightness thresholds, researchers investigated if the findings can be applied to interval and/or screen-detected cancers. A nested case–control study within the prospective Melbourne Collaborative Cohort Study was conducted including 168 women with interval and 422 with screen-detected breast cancers, and 498 and 1197 matched controls, respectively. Measurement of absolute and percent mammographic density was done using the Cumulus software at the conventional threshold (Cumulus) and two increasingly higher thresholds (Altocumulus and Cirrocumulus, respectively). Observations revealed that the best mammogram-based measure of screen-detected breast cancer risk comprised the amount of brighter areas, while the best mammogram-based measure of interval breast cancer risk comprised the percentage of the breast covered by white or bright areas, irrespective of BMI. Thereby suggesting that different features of mammographic images give clinically important information about different outcomes.
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