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Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.

Sak MA, Littrup PJ, Duric N, Mullooly M, Sherman ME, Gierach GL.

Breast Cancer Manag. 2015;4(4):209-221. doi: 10.2217/bmt.15.13. Epub 2015 Aug 28.


Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Destounis S, Arieno A, Morgan R, Roberts C, Chan A.

Diagnostics (Basel). 2017 May 31;7(2). pii: E30. doi: 10.3390/diagnostics7020030. Review.


Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants.

Chan S, Chen JH, Li S, Chang R, Yeh DC, Chang RF, Yeh LR, Kwong J, Su MY.

BMC Cancer. 2017 Apr 17;17(1):274. doi: 10.1186/s12885-017-3270-0.


DNA methylation age is elevated in breast tissue of healthy women.

Sehl ME, Henry JE, Storniolo AM, Ganz PA, Horvath S.

Breast Cancer Res Treat. 2017 Jul;164(1):209-219. doi: 10.1007/s10549-017-4218-4. Epub 2017 Mar 31.


Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

Banegas MP, John EM, Slattery ML, Gomez SL, Yu M, LaCroix AZ, Pee D, Chlebowski RT, Hines LM, Thompson CA, Gail MH.

J Natl Cancer Inst. 2016 Dec 20;109(2). doi: 10.1093/jnci/djw215. Print 2017 Feb.


Quantitative assessment of background parenchymal enhancement in breast magnetic resonance images predicts the risk of breast cancer.

Hu X, Jiang L, Li Q, Gu Y.

Oncotarget. 2017 Feb 7;8(6):10620-10627. doi: 10.18632/oncotarget.13538.


Accounting for individualized competing mortality risks in estimating postmenopausal breast cancer risk.

Schonberg MA, Li VW, Eliassen AH, Davis RB, LaCroix AZ, McCarthy EP, Rosner BA, Chlebowski RT, Hankinson SE, Marcantonio ER, Ngo LH.

Breast Cancer Res Treat. 2016 Dec;160(3):547-562. doi: 10.1007/s10549-016-4020-8. Epub 2016 Oct 21.


Bayesian joint ordinal and survival modeling for breast cancer risk assessment.

Armero C, Forné C, Rué M, Forte A, Perpiñán H, Gómez G, Baré M.

Stat Med. 2016 Dec 10;35(28):5267-5282. doi: 10.1002/sim.7065. Epub 2016 Aug 14.


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

Winkel RR, von Euler-Chelpin M, Nielsen M, Petersen K, Lillholm M, Nielsen MB, Lynge E, Uldall WY, Vejborg I.

BMC Cancer. 2016 Jul 7;16:414. doi: 10.1186/s12885-016-2450-7.


Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.

Laimighofer M, Krumsiek J, Buettner F, Theis FJ.

J Comput Biol. 2016 Apr;23(4):279-90. doi: 10.1089/cmb.2015.0192. Epub 2016 Feb 19.


Bioimpedence to Assess Breast Density as a Risk Factor for Breast Cancer in Adult Women and Adolescent Girls.

Maskarinec G, Morimoto Y, Laguana MB, Novotny R, Leon Guerrero RT.

Asian Pac J Cancer Prev. 2016;17(1):65-71.


Stromal characteristics may hold the key to mammographic density: the evidence to date.

Ironside AJ, Jones JL.

Oncotarget. 2016 May 24;7(21):31550-62. doi: 10.18632/oncotarget.6912. Review.


Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.

Brentnall AR, Harkness EF, Astley SM, Donnelly LS, Stavrinos P, Sampson S, Fox L, Sergeant JC, Harvie MN, Wilson M, Beetles U, Gadde S, Lim Y, Jain A, Bundred S, Barr N, Reece V, Howell A, Cuzick J, Evans DG.

Breast Cancer Res. 2015 Dec 1;17(1):147. doi: 10.1186/s13058-015-0653-5.


Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR Imaging.

Pertuz S, McDonald ES, Weinstein SP, Conant EF, Kontos D.

Radiology. 2016 Apr;279(1):65-74. doi: 10.1148/radiol.2015150277. Epub 2015 Oct 21.


Impact of a primary care based intervention on breast cancer knowledge, risk perception and concern: A randomized, controlled trial.

Livaudais-Toman J, Karliner LS, Tice JA, Kerlikowske K, Gregorich S, Pérez-Stable EJ, Pasick RJ, Chen A, Quinn J, Kaplan CP.

Breast. 2015 Dec;24(6):758-66. doi: 10.1016/j.breast.2015.09.009. Epub 2015 Oct 21.


Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

Lee CP, Choi H, Soo KC, Tan MH, Chay WY, Chia KS, Liu J, Li J, Hartman M.

PLoS One. 2015 Sep 24;10(9):e0136650. doi: 10.1371/journal.pone.0136650. eCollection 2015.


Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices.

Keller BM, Oustimov A, Wang Y, Chen J, Acciavatti RJ, Zheng Y, Ray S, Gee JC, Maidment AD, Kontos D.

J Med Imaging (Bellingham). 2015 Apr;2(2):024501. doi: 10.1117/1.JMI.2.2.024501. Epub 2015 Apr 3.


Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography.

Keller BM, McCarthy AM, Chen J, Armstrong K, Conant EF, Domchek SM, Kontos D.

BMC Cancer. 2015 Mar 18;15:143. doi: 10.1186/s12885-015-1159-3.


Mammographic density and breast cancer risk by family history in women of white and Asian ancestry.

Maskarinec G, Nakamura KL, Woolcott CG, Conroy SM, Byrne C, Nagata C, Ursin G, Vachon CM.

Cancer Causes Control. 2015 Apr;26(4):621-6. doi: 10.1007/s10552-015-0551-2. Epub 2015 Mar 12.

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