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

M. Nielsen, G. Karemore, M. Loog, J. Raundahl, N. Karssemeijer, J. D M Otten, M. A. Karsdal, Celine M Vachon, C. Christiansen

Research output: Contribution to journalArticle

34 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)381-387
Number of pages7
JournalCancer Epidemiology
Volume35
Issue number4
DOIs
StatePublished - Aug 2011

Fingerprint

Breast Neoplasms
Area Under Curve
Hormones
Case-Control Studies
Odds Ratio
Incidence
Therapeutics
Neoplasms

Keywords

  • Breast cancer risk
  • CAD
  • HRT
  • Mammographic density
  • Texture

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Epidemiology

Cite this

Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, J. D. 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

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

In: Cancer Epidemiology, Vol. 35, No. 4, 08.2011, p. 381-387.

Research output: Contribution to journalArticle

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
Nielsen, M. ; Karemore, G. ; Loog, M. ; Raundahl, J. ; Karssemeijer, N. ; Otten, J. D M ; Karsdal, M. A. ; Vachon, Celine 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.
@article{850af449b52747c59f6f2a6b6901734c,
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 = "Breast cancer risk, CAD, HRT, Mammographic density, Texture",
author = "M. Nielsen and G. Karemore and M. Loog and J. Raundahl and N. Karssemeijer and Otten, {J. D M} and Karsdal, {M. A.} and Vachon, {Celine M} and C. Christiansen",
year = "2011",
month = "8",
doi = "10.1016/j.canep.2010.10.011",
language = "English (US)",
volume = "35",
pages = "381--387",
journal = "Cancer Epidemiology",
issn = "1877-7821",
publisher = "Elsevier BV",
number = "4",

}

TY - JOUR

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

AU - Nielsen, M.

AU - Karemore, G.

AU - Loog, M.

AU - Raundahl, J.

AU - Karssemeijer, N.

AU - Otten, J. D M

AU - Karsdal, M. A.

AU - Vachon, Celine M

AU - Christiansen, C.

PY - 2011/8

Y1 - 2011/8

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 - Breast cancer risk

KW - CAD

KW - HRT

KW - Mammographic density

KW - Texture

UR - http://www.scopus.com/inward/record.url?scp=79960572789&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960572789&partnerID=8YFLogxK

U2 - 10.1016/j.canep.2010.10.011

DO - 10.1016/j.canep.2010.10.011

M3 - Article

C2 - 21146484

AN - SCOPUS:79960572789

VL - 35

SP - 381

EP - 387

JO - Cancer Epidemiology

JF - Cancer Epidemiology

SN - 1877-7821

IS - 4

ER -