In:
Breast Cancer Research, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2019-12)
Kurzfassung:
Given that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer and compare to healthy controls. Methods Eligible cases ( n = 1160) had unilateral invasive breast cancer and bilateral full-field digital mammograms (FFDMs) at two time points: within 2 months and 1–5 years before diagnosis. Controls ( n = 2360) were matched to cases on age and date of FFDMs. Dense volume (DV) and volumetric percent density (VPD) for each breast were assessed using Volpara™. Differences in DV and VPD between mammograms (median 3 years apart) were calculated per breast separately for cases and controls and their difference evaluated by using the Wilcoxon signed-rank test. To simulate clinical practice where cancer laterality is unknown, we examined whether the absolute difference between breasts can discriminate cases from controls using area under the ROC curve (AUC) analysis, adjusting for age, BMI, and time. Results Among cases, the VPD and DV between mammograms of the cancerous breast decreased to a lesser degree (− 0.26% and − 2.10 cm 3 ) than the normal breast (− 0.39% and − 2.74 cm 3 ) for a difference of 0.13% ( p value 〈 0.001) and 0.63 cm 3 ( p = 0.002), respectively. Among controls, the differences between breasts were nearly identical for VPD (− 0.02 [ p = 0.92]) and DV (0.05 [ p = 0.77]). The AUC for discriminating cases from controls using absolute difference between breasts was 0.54 (95% CI 0.52, 0.56) for VPD and 0.56 (95% CI, 0.54, 0.58) for DV. Conclusion There is a small relative increase in volumetric density measures over time in the breast with cancer which is not found in the normal breast. However, the magnitude of this difference is small, and this measure alone does not appear to be a good discriminator between women with and without breast cancer.
Materialart:
Online-Ressource
ISSN:
1465-542X
DOI:
10.1186/s13058-019-1198-9
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2019
ZDB Id:
2041618-0
