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Results: 1 to 20 of 93

Cited In for PubMed (Select 15057881)

1.

Breast cancer risks and risk prediction models.

Engel C, Fischer C.

Breast Care (Basel). 2015 Feb;10(1):7-12. doi: 10.1159/000376600. Review.

PMID:
25960719
2.
3.

Background risk of breast cancer and the association between physical activity and mammographic density.

Trinh T, Eriksson M, Darabi H, Bonn SE, Brand JS, Cuzick J, Czene K, Sjölander A, Bälter K, Hall P.

Breast Cancer Res. 2015 Apr 2;17(1):50. [Epub ahead of print]

4.

Screening magnetic resonance imaging recommendations and outcomes in patients at high risk for breast cancer.

Ehsani S, Strigel RM, Pettke E, Wilke L, Tevaarwerk AJ, DeMartini WB, Wisinski KB.

Breast J. 2015 May;21(3):246-53. doi: 10.1111/tbj.12396. Epub 2015 Mar 17.

PMID:
25789917
5.

Beliefs about weight and breast cancer: an interview study with high risk women following a 12 month weight loss intervention.

Wright CE, Harvie M, Howell A, Evans DG, Hulbert-Williams N, Donnelly LS.

Hered Cancer Clin Pract. 2015 Jan 9;13(1):1. doi: 10.1186/s13053-014-0023-9. eCollection 2015.

6.

Model for individualized prediction of breast cancer risk after a benign breast biopsy.

Pankratz VS, Degnim AC, Frank RD, Frost MH, Visscher DW, Vierkant RA, Hieken TJ, Ghosh K, Tarabishy Y, Vachon CM, Radisky DC, Hartmann LC.

J Clin Oncol. 2015 Mar 10;33(8):923-9. doi: 10.1200/JCO.2014.55.4865. Epub 2015 Jan 26.

PMID:
25624442
7.

Atypical hyperplasia of the breast--risk assessment and management options.

Hartmann LC, Degnim AC, Santen RJ, Dupont WD, Ghosh K.

N Engl J Med. 2015 Jan 1;372(1):78-89. doi: 10.1056/NEJMsr1407164. No abstract available.

PMID:
25551530
8.

The construct of breast cancer risk perception: need for a better risk communication?

de Jonge ET, Vlasselaer J, Van de Putte G, Schobbens JC.

Facts Views Vis Obgyn. 2009;1(2):122-9. Review.

9.

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.

10.

Preventive treatments for breast cancer: recent developments.

Alés-Martínez JE, Ruiz A, Chacón JI, Lluch Hernández A, Ramos M, Córdoba O, Aguirre E, Barnadas A, Jara C, González S, Plazaola A, Florián J, Andrés R, Sánchez Rovira P, Frau A.

Clin Transl Oncol. 2015 Apr;17(4):257-63. doi: 10.1007/s12094-014-1250-2. Epub 2014 Dec 2.

11.

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.

12.

Can multiple SNP testing in BRCA2 and BRCA1 female carriers be used to improve risk prediction models in conjunction with clinical assessment?

Prosperi MC, Ingham SL, Howell A, Lalloo F, Buchan IE, Evans DG.

BMC Med Inform Decis Mak. 2014 Oct 1;14:87. doi: 10.1186/1472-6947-14-87.

13.

Breast Cancer Risk - Genes, Environment and Clinics.

Fasching PA, Ekici AB, Adamietz BR, Wachter DL, Hein A, Bayer CM, Häberle L, Loehberg CR, Jud SM, Heusinger K, Rübner M, Rauh C, Bani MR, Lux MP, Schulz-Wendtland R, Hartmann A, Beckmann MW.

Geburtshilfe Frauenheilkd. 2011 Dec;71(12):1056-1066.

14.

Pathogenesis, prevention, diagnosis and treatment of breast cancer.

Shah R, Rosso K, Nathanson SD.

World J Clin Oncol. 2014 Aug 10;5(3):283-98. doi: 10.5306/wjco.v5.i3.283. Review.

15.

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
16.

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.

17.

Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis.

Fasching PA, Ekici AB, Wachter DL, Hein A, Bayer CM, Häberle L, Loehberg CR, Schneider M, Jud SM, Heusinger K, Rübner M, Rauh C, Bani MR, Lux MP, Schulz-Wendtland R, Hartmann A, Beckmann MW.

Geburtshilfe Frauenheilkd. 2013 Dec;73(12):1228-1235.

18.

Assessing the goodness of fit of personal risk models.

Gong G, Quante AS, Terry MB, Whittemore AS.

Stat Med. 2014 Aug 15;33(18):3179-90. doi: 10.1002/sim.6176. Epub 2014 Apr 22.

19.

Clinical prediction rules in practice: review of clinical guidelines and survey of GPs.

Plüddemann A, Wallace E, Bankhead C, Keogh C, Van der Windt D, Lasserson D, Galvin R, Moschetti I, Kearley K, O'Brien K, Sanders S, Mallett S, Malanda U, Thompson M, Fahey T, Stevens R.

Br J Gen Pract. 2014 Apr;64(621):e233-42. doi: 10.3399/bjgp14X677860.

20.

Immune cell quantitation in normal breast tissue lobules with and without lobulitis.

Degnim AC, Brahmbhatt RD, Radisky DC, Hoskin TL, Stallings-Mann M, Laudenschlager M, Mansfield A, Frost MH, Murphy L, Knutson K, Visscher DW.

Breast Cancer Res Treat. 2014 Apr;144(3):539-49. doi: 10.1007/s10549-014-2896-8. Epub 2014 Mar 5.

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