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

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A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. / Nielsen, Mads; Karemore, Gopal; Loog, Marco; Raundahl, Jakob; Karssemeijer, N.; Otten, J. D. M.; Karsdal, M. A.; Vachon, C. M.; Christiansen, C.

In: Cancer Epidemiology, Vol. 35, No. 4, 2011, p. 381–387.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nielsen, M, Karemore, G, Loog, M, Raundahl, J, Karssemeijer, N, Otten, JDM, Karsdal, MA, Vachon, CM & Christiansen, C 2011, 'A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer', Cancer Epidemiology, vol. 35, no. 4, pp. 381–387. https://doi.org/10.1016/j.canep.2010.10.011

APA

Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, J. D. M., Karsdal, M. A., Vachon, C. M., & Christiansen, C. (2011). A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. Cancer Epidemiology, 35(4), 381–387. https://doi.org/10.1016/j.canep.2010.10.011

Vancouver

Nielsen M, Karemore G, Loog M, Raundahl J, Karssemeijer N, Otten JDM et al. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. Cancer Epidemiology. 2011;35(4):381–387. https://doi.org/10.1016/j.canep.2010.10.011

Author

Nielsen, Mads ; Karemore, Gopal ; Loog, Marco ; Raundahl, Jakob ; Karssemeijer, N. ; Otten, J. D. M. ; Karsdal, M. A. ; Vachon, C. M. ; Christiansen, C. / A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. In: Cancer Epidemiology. 2011 ; Vol. 35, No. 4. pp. 381–387.

Bibtex

@article{d7b928c0f1a811dfb6d2000ea68e967b,
title = "A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer",
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.",
keywords = "Faculty of Science",
author = "Mads Nielsen and Gopal Karemore and Marco Loog and Jakob Raundahl and N. Karssemeijer and Otten, {J. D. M.} and Karsdal, {M. A.} and Vachon, {C. M.} and C. Christiansen",
year = "2011",
doi = "10.1016/j.canep.2010.10.011",
language = "English",
volume = "35",
pages = "381–387",
journal = "Cancer Epidemiology",
issn = "1877-7821",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer

AU - Nielsen, Mads

AU - Karemore, Gopal

AU - Loog, Marco

AU - Raundahl, Jakob

AU - Karssemeijer, N.

AU - Otten, J. D. M.

AU - Karsdal, M. A.

AU - Vachon, C. M.

AU - Christiansen, C.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Faculty of Science

U2 - 10.1016/j.canep.2010.10.011

DO - 10.1016/j.canep.2010.10.011

M3 - Journal article

VL - 35

SP - 381

EP - 387

JO - Cancer Epidemiology

JF - Cancer Epidemiology

SN - 1877-7821

IS - 4

ER -

ID: 23184868