Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study

Rikke Rass Winkel; My Catarina von Euler-Chelpin; Mads Nielsen; Peter Kersten Petersen; Martin Lillholm; Michael Bachmann Nielsen; Elsebeth Lynge; Wei Yao Uldall; Ilse Merete Munk Vejborg

doi:10.1186/s12885-016-2450-7

Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study

Rikke Rass Winkel, My Catarina von Euler-Chelpin, Mads Nielsen, Peter Kersten Petersen, Martin Lillholm, Michael Bachmann Nielsen, Elsebeth Lynge, Wei Yao Uldall, Ilse Merete Munk Vejborg

23 Citations (Scopus)

388 Downloads (Pure)

Original language	English
Article number	414
Journal	B M C Cancer
Volume	16
Number of pages	12
ISSN	1471-2407
DOIs	https://doi.org/10.1186/s12885-016-2450-7
Publication status	Published - 7 Jul 2016

Keywords

Mammographic breast density
Mammographic parenchymal pattern
BI-RADS density
Tabar
Mammographic texture
Breast cancer
Risk prediction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s12885-016-2450-7Licence: CC BY

Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control studyFinal published version, 1.53 MBLicence: CC BY

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Winkel, R. R., von Euler-Chelpin, M. C., Nielsen, M., Petersen, P. K., Lillholm, M., Nielsen, M. B., Lynge, E., Uldall, W. Y., & Vejborg, I. M. M. (2016). Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study. B M C Cancer, 16, [414]. https://doi.org/10.1186/s12885-016-2450-7

Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening : a case-control study. / Winkel, Rikke Rass; von Euler-Chelpin, My Catarina ; Nielsen, Mads et al.

In: B M C Cancer, Vol. 16, 414, 07.07.2016.

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

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title = "Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study",

keywords = "Mammographic breast density, Mammographic parenchymal pattern, BI-RADS density, Tabar, Mammographic texture, Breast cancer, Risk prediction",

author = "Winkel, {Rikke Rass} and {von Euler-Chelpin}, {My Catarina} and Mads Nielsen and Petersen, {Peter Kersten} and Martin Lillholm and Nielsen, {Michael Bachmann} and Elsebeth Lynge and Uldall, {Wei Yao} and Vejborg, {Ilse Merete Munk}",

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doi = "10.1186/s12885-016-2450-7",

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T1 - Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening

T2 - a case-control study

AU - Winkel, Rikke Rass

AU - von Euler-Chelpin, My Catarina

AU - Nielsen, Mads

AU - Petersen, Peter Kersten

AU - Lillholm, Martin

AU - Nielsen, Michael Bachmann

AU - Lynge, Elsebeth

AU - Uldall, Wei Yao

AU - Vejborg, Ilse Merete Munk

PY - 2016/7/7

Y1 - 2016/7/7

KW - Mammographic breast density

KW - Mammographic parenchymal pattern

KW - BI-RADS density

KW - Tabar

KW - Mammographic texture

KW - Breast cancer

KW - Risk prediction

U2 - 10.1186/s12885-016-2450-7

DO - 10.1186/s12885-016-2450-7

M3 - Journal article

C2 - 27387546

SN - 1471-2407

VL - 16

JO - B M C Cancer

JF - B M C Cancer

M1 - 414

ER -

Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study

Keywords

UN SDGs

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