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Items: 1 to 20 of 124

1.

Korean risk assessment model for breast cancer risk prediction.

Park B, Ma SH, Shin A, Chang MC, Choi JY, Kim S, Han W, Noh DY, Ahn SH, Kang D, Yoo KY, Park SK.

PLoS One. 2013 Oct 25;8(10):e76736. doi: 10.1371/journal.pone.0076736. eCollection 2013.

2.

Assessing risk of breast cancer in an ethnically South-East Asia population (results of a multiple ethnic groups study).

Gao F, Machin D, Chow KY, Sim YF, Duffy SW, Matchar DB, Goh CH, Chia KS.

BMC Cancer. 2012 Nov 19;12:529. doi: 10.1186/1471-2407-12-529.

3.

Predicting risk of breast cancer in postmenopausal women by hormone receptor status.

Chlebowski RT, Anderson GL, Lane DS, Aragaki AK, Rohan T, Yasmeen S, Sarto G, Rosenberg CA, Hubbell FA; Women's Health Initiative Investigators.

J Natl Cancer Inst. 2007 Nov 21;99(22):1695-705. Epub 2007 Nov 13.

PMID:
18000216
4.

Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study.

Pastor-Barriuso R, Ascunce N, Ederra M, Erdozáin N, Murillo A, Alés-Martínez JE, Pollán M.

Breast Cancer Res Treat. 2013 Feb;138(1):249-59. doi: 10.1007/s10549-013-2428-y. Epub 2013 Feb 3.

5.

Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Lee C, Lee JC, Park B, Bae J, Lim MH, Kang D, Yoo KY, Park SK, Kim Y, Kim S.

J Korean Med Sci. 2015 Aug;30(8):1025-34. doi: 10.3346/jkms.2015.30.8.1025. Epub 2015 Jul 15.

6.

Validation of risk assessment models for predicting the incidence of breast cancer in korean women.

Min JW, Chang MC, Lee HK, Hur MH, Noh DY, Yoon JH, Jung Y, Yang JH; Korean Breast Cancer Society.

J Breast Cancer. 2014 Sep;17(3):226-35. doi: 10.4048/jbc.2014.17.3.226. Epub 2014 Sep 30.

7.
8.

Breast cancer risk assessment in the Czech female population--an adjustment of the original Gail model.

Novotny J, Pecen L, Petruzelka L, Svobodnik A, Dusek L, Danes J, Skovajsova M.

Breast Cancer Res Treat. 2006 Jan;95(1):29-35. Epub 2005 Dec 1.

PMID:
16319995
9.

Effect of changing breast cancer incidence rates on the calibration of the Gail model.

Schonfeld SJ, Pee D, Greenlee RT, Hartge P, Lacey JV Jr, Park Y, Schatzkin A, Visvanathan K, Pfeiffer RM.

J Clin Oncol. 2010 May 10;28(14):2411-7. doi: 10.1200/JCO.2009.25.2767. Epub 2010 Apr 5.

10.

Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older.

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

J Natl Cancer Inst. 2015 Nov 30;108(3). doi: 10.1093/jnci/djv348. Print 2016 Mar.

11.

Bone mineral density and the risk of breast cancer: a case-control study of Korean women.

Kim BK, Choi YH, Song YM, Park JH, Noh HM, Nguyen TL, Hopper JL.

Ann Epidemiol. 2014 Mar;24(3):222-7. doi: 10.1016/j.annepidem.2013.11.009. Epub 2013 Nov 26.

PMID:
24360852
12.

Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.

Mealiffe ME, Stokowski RP, Rhees BK, Prentice RL, Pettinger M, Hinds DA.

J Natl Cancer Inst. 2010 Nov 3;102(21):1618-27. doi: 10.1093/jnci/djq388. Epub 2010 Oct 18.

13.

Determining the main risk factors and high-risk groups of breast cancer using a predictive model for breast cancer risk assessment in South Korea.

Lee EO, Ahn SH, You C, Lee DS, Han W, Choe KJ, Noh DY.

Cancer Nurs. 2004 Sep-Oct;27(5):400-6.

PMID:
15525868
15.

Applicability of the Gail model for breast cancer risk assessment in Turkish female population and evaluation of breastfeeding as a risk factor.

Ulusoy C, Kepenekci I, Kose K, Aydintug S, Cam R.

Breast Cancer Res Treat. 2010 Apr;120(2):419-24. doi: 10.1007/s10549-009-0541-8. Epub 2009 Sep 17.

PMID:
19760030
16.

Validation of Rosner-Colditz breast cancer incidence model using an independent data set, the California Teachers Study.

Rosner BA, Colditz GA, Hankinson SE, Sullivan-Halley J, Lacey JV Jr, Bernstein L.

Breast Cancer Res Treat. 2013 Nov;142(1):187-202. doi: 10.1007/s10549-013-2719-3. Epub 2013 Oct 26.

17.

Accuracy of BRCA1/2 mutation prediction models in Korean breast cancer patients.

Kang E, Park SK, Yang JJ, Park B, Lee MH, Lee JW, Suh YJ, Lee JE, Kim HA, Oh SJ, Kim SW; Korean Breast Cancer Society.

Breast Cancer Res Treat. 2012 Aug;134(3):1189-97. doi: 10.1007/s10549-012-2022-8. Epub 2012 Mar 22.

PMID:
22438049
18.

Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.

Quante AS, Whittemore AS, Shriver T, Strauch K, Terry MB.

Breast Cancer Res. 2012 Nov 5;14(6):R144. doi: 10.1186/bcr3352.

19.

Comparison of breast cancer risk estimations, risk perception, and screening behaviors in obese rural Korean women.

Park S, Cochrane BB, Koh SB, Chung C.

Oncol Nurs Forum. 2011 Nov;38(6):E394-401. doi: 10.1188/11.ONF.E394-E401.

PMID:
22037338
20.

Do traditional Gail model risk factors account for increased breast cancer in women with lupus?

Bernatsky S, Ramsey-Goldman R, Boivin JF, Joseph L, Moore AD, Rajan R, Clarke A.

J Rheumatol. 2003 Jul;30(7):1505-7.

PMID:
12858448

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