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Results: 1 to 20 of 48

Cited In for PubMed (Select 16261410)

1.

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.

PMID:
25761408
2.

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.

3.

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.

4.

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. 2013 Mar 29;8675:86751E.

5.

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 Soc Photo Opt Instrum Eng. 2014 Mar 20;9040:90400S.

6.

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.

7.

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.

8.

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.

PMID:
25063521
9.

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.

PMID:
25018067
10.

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.

11.

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.

12.

A randomized, controlled trial to increase discussion of breast cancer in primary care.

Kaplan CP, Livaudais-Toman J, Tice JA, Kerlikowske K, Gregorich SE, PĂ©rez-Stable EJ, Pasick RJ, Chen A, Quinn J, Karliner LS.

Cancer Epidemiol Biomarkers Prev. 2014 Jul;23(7):1245-53. doi: 10.1158/1055-9965.EPI-13-1380. Epub 2014 Apr 24.

13.

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

Nielsen M, Vachon CM, Scott CG, Chernoff K, Karemore G, Karssemeijer N, Lillholm M, Karsdal MA.

Breast Cancer Res. 2014 Apr 8;16(2):R37. doi: 10.1186/bcr3641.

14.

Boosting the concordance index for survival data--a unified framework to derive and evaluate biomarker combinations.

Mayr A, Schmid M.

PLoS One. 2014 Jan 6;9(1):e84483. doi: 10.1371/journal.pone.0084483. eCollection 2014.

15.

Perceived versus objective breast cancer risk in diverse women.

Fehniger J, Livaudais-Toman J, Karliner L, Kerlikowske K, Tice JA, Quinn J, Ozanne E, Kaplan CP.

J Womens Health (Larchmt). 2014 May;23(5):420-7. doi: 10.1089/jwh.2013.4516. Epub 2013 Dec 28.

PMID:
24372085
16.

Update on raloxifene: role in reducing the risk of invasive breast cancer in postmenopausal women.

Vogel VG.

Breast Cancer (Dove Med Press). 2011 Oct 20;3:127-37. doi: 10.2147/BCTT.S11288. Review.

17.

High mammographic density in women of Ashkenazi Jewish descent.

Caswell JL, Kerlikowske K, Shepherd JA, Cummings SR, Hu D, Huntsman S, Ziv E.

Breast Cancer Res. 2013 May 13;15(3):R40. doi: 10.1186/bcr3424.

18.

Reader variability in breast density estimation from full-field digital mammograms: the effect of image postprocessing on relative and absolute measures.

Keller BM, Nathan DL, Gavenonis SC, Chen J, Conant EF, Kontos D.

Acad Radiol. 2013 May;20(5):560-8. doi: 10.1016/j.acra.2013.01.003. Epub 2013 Mar 5.

19.

Subgroup specific incremental value of new markers for risk prediction.

Zhou QM, Zheng Y, Cai T.

Lifetime Data Anal. 2013 Apr;19(2):142-69. doi: 10.1007/s10985-012-9235-3. Epub 2012 Dec 23.

20.

The influence of mammogram acquisition on the mammographic density and breast cancer association in the Mayo Mammography Health Study cohort.

Olson JE, Sellers TA, Scott CG, Schueler BA, Brandt KR, Serie DJ, Jensen MR, Wu FF, Morton MJ, Heine JJ, Couch FJ, Pankratz VS, Vachon CM.

Breast Cancer Res. 2012 Nov 15;14(6):R147. doi: 10.1186/bcr3357.

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