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The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study.

ABSTRACT: In the light of the breast density legislation in the USA, it is important to know a woman's breast cancer risk, but particularly her risk of a tumor that is not detected through mammographic screening (interval cancer). Therefore, we examined the associations of automatically measured volumetric breast density with screen-detected and interval cancer risk, separately.Volumetric breast measures were assessed automatically using Volpara version 1.5.0 (Matakina, New Zealand) for the first available digital mammography (DM) examination of 52,814 women (age 50?-?75 years) participating in the Dutch biennial breast cancer screening program between 2003 and 2011. Breast cancer information was obtained from the screening registration system and through linkage with the Netherlands Cancer Registry. We excluded all screen-detected breast cancers diagnosed as a result of the first digital screening examination. During a median follow-up period of 4.2 (IQR 2.0-6.2) years, 523 women were diagnosed with breast cancer of which 299 were screen-detected and 224 were interval breast cancers. The associations between volumetric breast measures and breast cancer risk were determined using Cox proportional hazards analyses.Percentage dense volume was found to be positively associated with both interval and screen-detected breast cancers (hazard ratio (HR) 8.37 (95% CI 4.34-16.17) and HR 1.39 (95% CI 0.82-2.36), respectively, for Volpara density grade category (VDG) 4 compared to VDG1 (p for heterogeneity?

SUBMITTER: Wanders JOP

PROVIDER: S-EPMC5460501 | biostudies-other | 2017 Jun

REPOSITORIES: biostudies-other

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The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study.

Wanders Johanna O P JOP Holland Katharina K Karssemeijer Nico N Peeters Petra H M PHM Veldhuis Wouter B WB Mann Ritse M RM van Gils Carla H CH

Breast cancer research : BCR 20170605 1

<h4>Background</h4>In the light of the breast density legislation in the USA, it is important to know a woman's breast cancer risk, but particularly her risk of a tumor that is not detected through mammographic screening (interval cancer). Therefore, we examined the associations of automatically measured volumetric breast density with screen-detected and interval cancer risk, separately.<h4>Methods</h4>Volumetric breast measures were assessed automatically using Volpara version 1.5.0 (Matakina, ...[more]

PMID: 28583146

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Project description:BACKGROUND:Case-control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if this applied to interval and/or screen-detected cancers. METHOD:We conducted a nested case-control study within the prospective Melbourne Collaborative Cohort Study including 168 women with interval and 422 with screen-detected breast cancers, and 498 and 1197 matched controls, respectively. We measured absolute and percent mammographic density using the Cumulus software at the conventional threshold (Cumulus) and two increasingly higher thresholds (Altocumulus and Cirrocumulus, respectively). Measures were transformed and adjusted for age and body mass index (BMI). Using conditional logistic regression and adjusting for BMI by age at mammogram, we estimated risk discrimination by the odds ratio per adjusted standard deviation (OPERA), calculated the area under the receiver operating characteristic curve (AUC) and compared nested models using the likelihood ratio criterion and models with the same number of parameters using the difference in Bayesian information criterion (?BIC). RESULTS:For interval cancer, there was very strong evidence that the association was best predicted by Cumulus as a percentage (OPERA?=?2.33 (95% confidence interval (CI) 1.85-2.92); all ?BIC >?14), and the association with BMI was independent of age at mammogram. After adjusting for percent Cumulus, no other measure was associated with risk (all P?>?0.1). For screen-detected cancer, however, the associations were strongest for the absolute and percent Cirrocumulus measures (all ?BIC >?6), and after adjusting for Cirrocumulus, no other measure was associated with risk (all P?>?0.07). CONCLUSION:The amount of brighter areas is the best mammogram-based measure of screen-detected breast cancer risk, while the percentage of the breast covered by white or bright areas is the best mammogram-based measure of interval breast cancer risk, irrespective of BMI. Therefore, there are different features of mammographic images that give clinically important information about different outcomes.

Dataset Information

The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study.

Publications

The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study.

Similar Datasets

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