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Items: 1 to 20 of 57

1.

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.

2.

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.

3.

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.

4.

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.

PMID:
26491909
5.

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, PĂ©rez-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.

6.

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.

8.

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.

9.

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.

10.

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.

11.

Emerging Concepts in Breast Cancer Risk Prediction.

Gierach GL, Yang XR, Figueroa JD, Sherman ME.

Curr Obstet Gynecol Rep. 2013 Mar;2(1):43-52.

12.

Risk determination and prevention of breast cancer.

Howell A, Anderson AS, Clarke RB, Duffy SW, Evans DG, Garcia-Closas M, Gescher AJ, Key TJ, Saxton JM, Harvie MN.

Breast Cancer Res. 2014 Sep 28;16(5):446. doi: 10.1186/s13058-014-0446-2. Review.

13.

Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment.

Sak M, Duric N, Littrup P, Li C, Bey-Knight L, Sherman M, Boyd N, Gierach G.

Proc SPIE Int Soc Opt Eng. 2013 Mar 29;8675:86751E.

14.

Comparison of sound speed measurements on two different ultrasound tomography devices.

Sak M, Duric N, Littrup P, Bey-Knight L, Sherman M, Gierach G, Malyarenko A.

Proc SPIE Int Soc Opt Eng. 2014 Mar 20;9040:90400S.

15.

Comparison of Danish dichotomous and BI-RADS classifications of mammographic density.

Hodge R, Hellmann SS, von Euler-Chelpin M, Vejborg I, Andersen ZJ.

Acta Radiol Short Rep. 2014 Jun 14;3(5):2047981614536558. doi: 10.1177/2047981614536558. eCollection 2014 Jun.

16.

Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I.

Warwick J, Birke H, Stone J, Warren RM, Pinney E, Brentnall AR, Duffy SW, Howell A, Cuzick J.

Breast Cancer Res. 2014 Oct 8;16(5):451. doi: 10.1186/s13058-014-0451-5.

17.

A risk prediction model for smoking experimentation in Mexican American youth.

Talluri R, Wilkinson AV, Spitz MR, Shete S.

Cancer Epidemiol Biomarkers Prev. 2014 Oct;23(10):2165-74. doi: 10.1158/1055-9965.EPI-14-0467. Epub 2014 Jul 25.

18.

Automated Percentage of Breast Density Measurements for Full-field Digital Mammography Applications.

Fowler EE, Vachon CM, Scott CG, Sellers TA, Heine JJ.

Acad Radiol. 2014 Aug;21(8):958-70. doi: 10.1016/j.acra.2014.04.006.

19.

Breast density assessment using a 3T MRI system: comparison among different sequences.

Tagliafico A, Bignotti B, Tagliafico G, Astengo D, Martino L, Airaldi S, Signori A, Sormani MP, Houssami N, Calabrese M.

PLoS One. 2014 Jun 3;9(6):e99027. doi: 10.1371/journal.pone.0099027. eCollection 2014.

20.

Current strategies for the prevention of breast cancer.

Advani P, Moreno-Aspitia A.

Breast Cancer (Dove Med Press). 2014 May 2;6:59-71. doi: 10.2147/BCTT.S39114. eCollection 2014. Review.

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