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Cancer Epidemiol. 2011 Aug;35(4):381-7. doi: 10.1016/j.canep.2010.10.011. Epub 2010 Dec 10.

A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer.

Author information

1
University of Copenhagen, Copenhagen, Denmark. madsn@nordicbioscience.com

Abstract

OBJECTIVE:

We investigated whether breast cancer is predicted by a breast cancer risk mammographic texture resemblance (MTR) marker.

METHODS:

A previously published case-control study included 495 women of which 245 were diagnosed with breast cancer. In baseline mammograms, 2-4 years prior to diagnosis, the following mammographic parameters were analysed for relation to breast cancer risk: (C) categorical parenchymal pattern scores; (R) radiologist's percentage density, (P) computer-based percentage density; (H) computer-based breast cancer risk MTR marker; (E) computer-based hormone replacement treatment MTR marker; and (A) an aggregate of P and H.

RESULTS:

Density scores, C, R, and P correlated (tau=0.3-0.6); no other pair of scores showed large (tau>0.2) correlation. For the parameters, the odds ratios of future incidence of breast cancer comparing highest to lowest categories (146 and 106 subject respectively) were C: 2.4(1.4-4.2), R: 2.4(1.4-4.1), P: 2.5(1.5-4.2), E: non-significant, H: 4.2(2.4-7.2), and A: 5.6(3.2-9.8). The AUC analysis showed a similarly increasing pattern (C: 0.58±0.02, R: 0.57±0.03, P: 0.60±0.03, H: 0.63±0.02, A: 0.66±0.02). The AUC of the aggregate marker (A) surpasses others significantly except H. HRT-MTR (E) did not significantly identify future cancers or correlate with any other marker.

CONCLUSIONS:

Breast cancer risk MTR marker was independent of density scores and more predictive of risk. The hormone replacement treatment MTR marker did not identify patients at risk.

PMID:
21146484
DOI:
10.1016/j.canep.2010.10.011
[Indexed for MEDLINE]

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