Ansatte – Københavns Universitet

Mammographic texture resemblance generalizes as an independent risk factor for breast cancer

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Standard

Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. / Nielsen, Mads; Vachon, Celine M.; Scott, Christopher G.; Chernoff, Konstantin; Karemore, Gopal; Karssemeijer, Nico; Lillholm, Martin; Karsdal, Morten.

I: Breast Cancer Research (Online Edition), Bind 16, Nr. 2, R37, 2014.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Nielsen, M, Vachon, CM, Scott, CG, Chernoff, K, Karemore, G, Karssemeijer, N, Lillholm, M & Karsdal, M 2014, 'Mammographic texture resemblance generalizes as an independent risk factor for breast cancer' Breast Cancer Research (Online Edition), bind 16, nr. 2, R37. https://doi.org/10.1186/bcr3641

APA

Nielsen, M., Vachon, C. M., Scott, C. G., Chernoff, K., Karemore, G., Karssemeijer, N., ... Karsdal, M. (2014). Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. Breast Cancer Research (Online Edition), 16(2), [R37]. https://doi.org/10.1186/bcr3641

Vancouver

Nielsen M, Vachon CM, Scott CG, Chernoff K, Karemore G, Karssemeijer N o.a. Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. Breast Cancer Research (Online Edition). 2014;16(2). R37. https://doi.org/10.1186/bcr3641

Author

Nielsen, Mads ; Vachon, Celine M. ; Scott, Christopher G. ; Chernoff, Konstantin ; Karemore, Gopal ; Karssemeijer, Nico ; Lillholm, Martin ; Karsdal, Morten. / Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. I: Breast Cancer Research (Online Edition). 2014 ; Bind 16, Nr. 2.

Bibtex

@article{e94513338f1e48cabc2684db2db02c45,
title = "Mammographic texture resemblance generalizes as an independent risk factor for breast cancer",
abstract = "INTRODUCTION:Breast density has been established as a major risk factor for breast cancer. We have previously demonstrated that mammographic texture resemblance (MTR), recognizing the local texture patterns of the mammogram, is also a risk factor for breast cancer, independent of percent breast density. We examine if these findings generalize to another population.METHODS:Texture patterns were recorded in digitalized pre-diagnosis (3.7years) film mammograms of a nested case-control study within the Dutch screening program (S1) comprising of 245 breast cancers and 250 matched controls. The patterns were recognized in the same study using cross-validation to form resemblance scores associated with breast cancer. Texture patterns from S1 were examined in an independent nested case-control study within the Mayo Mammography Health Study cohort (S2) of 226 cases and 442 matched controls: mammograms on average 8.5years prior to diagnosis, risk factor information and percent mammographic density (PD) estimated using Cumulus were available. MTR scores estimated from S1, S2 and S1+S2 (the latter two as cross-validations) were evaluated in S2. MTR scores were analyzed as both quartiles and continuously for association with breast cancer using odds ratios (OR) and adjusting for known risk factors including age, body mass index (BMI), and hormone usage.RESULTS:The mean ages of S1 and S2 were 58.0+/-5.7years and 55.2+/-10.5years, respectively. The MTR scores on S1 showed significant capability to discriminate cancers from controls (area under the operator characteristics curve (AUC)=0.63+/-0.02, P",
author = "Mads Nielsen and Vachon, {Celine M.} and Scott, {Christopher G.} and Konstantin Chernoff and Gopal Karemore and Nico Karssemeijer and Martin Lillholm and Morten Karsdal",
note = "OA",
year = "2014",
doi = "10.1186/bcr3641",
language = "English",
volume = "16",
journal = "Breast Cancer Research (Online Edition)",
issn = "1465-5411",
publisher = "BioMed Central Ltd.",
number = "2",

}

RIS

TY - JOUR

T1 - Mammographic texture resemblance generalizes as an independent risk factor for breast cancer

AU - Nielsen, Mads

AU - Vachon, Celine M.

AU - Scott, Christopher G.

AU - Chernoff, Konstantin

AU - Karemore, Gopal

AU - Karssemeijer, Nico

AU - Lillholm, Martin

AU - Karsdal, Morten

N1 - OA

PY - 2014

Y1 - 2014

N2 - INTRODUCTION:Breast density has been established as a major risk factor for breast cancer. We have previously demonstrated that mammographic texture resemblance (MTR), recognizing the local texture patterns of the mammogram, is also a risk factor for breast cancer, independent of percent breast density. We examine if these findings generalize to another population.METHODS:Texture patterns were recorded in digitalized pre-diagnosis (3.7years) film mammograms of a nested case-control study within the Dutch screening program (S1) comprising of 245 breast cancers and 250 matched controls. The patterns were recognized in the same study using cross-validation to form resemblance scores associated with breast cancer. Texture patterns from S1 were examined in an independent nested case-control study within the Mayo Mammography Health Study cohort (S2) of 226 cases and 442 matched controls: mammograms on average 8.5years prior to diagnosis, risk factor information and percent mammographic density (PD) estimated using Cumulus were available. MTR scores estimated from S1, S2 and S1+S2 (the latter two as cross-validations) were evaluated in S2. MTR scores were analyzed as both quartiles and continuously for association with breast cancer using odds ratios (OR) and adjusting for known risk factors including age, body mass index (BMI), and hormone usage.RESULTS:The mean ages of S1 and S2 were 58.0+/-5.7years and 55.2+/-10.5years, respectively. The MTR scores on S1 showed significant capability to discriminate cancers from controls (area under the operator characteristics curve (AUC)=0.63+/-0.02, P

AB - INTRODUCTION:Breast density has been established as a major risk factor for breast cancer. We have previously demonstrated that mammographic texture resemblance (MTR), recognizing the local texture patterns of the mammogram, is also a risk factor for breast cancer, independent of percent breast density. We examine if these findings generalize to another population.METHODS:Texture patterns were recorded in digitalized pre-diagnosis (3.7years) film mammograms of a nested case-control study within the Dutch screening program (S1) comprising of 245 breast cancers and 250 matched controls. The patterns were recognized in the same study using cross-validation to form resemblance scores associated with breast cancer. Texture patterns from S1 were examined in an independent nested case-control study within the Mayo Mammography Health Study cohort (S2) of 226 cases and 442 matched controls: mammograms on average 8.5years prior to diagnosis, risk factor information and percent mammographic density (PD) estimated using Cumulus were available. MTR scores estimated from S1, S2 and S1+S2 (the latter two as cross-validations) were evaluated in S2. MTR scores were analyzed as both quartiles and continuously for association with breast cancer using odds ratios (OR) and adjusting for known risk factors including age, body mass index (BMI), and hormone usage.RESULTS:The mean ages of S1 and S2 were 58.0+/-5.7years and 55.2+/-10.5years, respectively. The MTR scores on S1 showed significant capability to discriminate cancers from controls (area under the operator characteristics curve (AUC)=0.63+/-0.02, P

U2 - 10.1186/bcr3641

DO - 10.1186/bcr3641

M3 - Journal article

VL - 16

JO - Breast Cancer Research (Online Edition)

JF - Breast Cancer Research (Online Edition)

SN - 1465-5411

IS - 2

M1 - R37

ER -

ID: 109878440