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Items: 1 to 20 of 102

1.

Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment.

Gastounioti A, Conant EF, Kontos D.

Breast Cancer Res. 2016 Sep 20;18(1):91. doi: 10.1186/s13058-016-0755-8. Review.

2.

Relationship of Predicted Risk of Developing Invasive Breast Cancer, as Assessed with Three Models, and Breast Cancer Mortality among Breast Cancer Patients.

Sherman ME, Ichikawa L, Pfeiffer RM, Miglioretti DL, Kerlikowske K, Tice J, Vacek PM, Gierach GL.

PLoS One. 2016 Aug 25;11(8):e0160966. doi: 10.1371/journal.pone.0160966. eCollection 2016.

3.

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.

4.

Multilevel factors associated with long-term adherence to screening mammography in older women in the U.S.

Hubbard RA, O'Meara ES, Henderson LM, Hill D, Braithwaite D, Haas JS, Lee CI, Sprague BL, Alford-Teaster J, Tosteson AN, Wernli KJ, Onega T.

Prev Med. 2016 Aug;89:169-77. doi: 10.1016/j.ypmed.2016.05.034. Epub 2016 May 31.

PMID:
27261409
5.

Mammographic Breast Density Evaluation in Korean Women Using Fully Automated Volumetric Assessment.

Youn I, Choi S, Kook SH, Choi YJ.

J Korean Med Sci. 2016 Mar;31(3):457-62. doi: 10.3346/jkms.2016.31.3.457. Epub 2016 Feb 23.

6.

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.

7.

Increased Risk of Developing Breast Cancer after a False-Positive Screening Mammogram.

Henderson LM, Hubbard RA, Sprague BL, Zhu W, Kerlikowske K.

Cancer Epidemiol Biomarkers Prev. 2015 Dec;24(12):1882-9. doi: 10.1158/1055-9965.EPI-15-0623.

PMID:
26631292
8.

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.

9.

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.

Burnside ES, Liu J, Wu Y, Onitilo AA, McCarty CA, Page CD, Peissig PL, Trentham-Dietz A, Kitchner T, Fan J, Yuan M.

Acad Radiol. 2016 Jan;23(1):62-9. doi: 10.1016/j.acra.2015.09.007. Epub 2015 Oct 26.

PMID:
26514439
10.

Clinicopathologic features of breast cancers that develop in women with previous benign breast disease.

Visscher DW, Frost MH, Hartmann LC, Frank RD, Vierkant RA, McCullough AE, Winham SJ, Vachon CM, Ghosh K, Brandt KR, Farrell AM, Tarabishy Y, Hieken TJ, Haddad TC, Kraft RA, Radisky DC, Degnim AC.

Cancer. 2016 Feb 1;122(3):378-85. doi: 10.1002/cncr.29766. Epub 2015 Oct 29.

PMID:
26512815
11.

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.

12.

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.

13.

The relationship of breast density in mammography and magnetic resonance imaging in high-risk women and women with breast cancer.

Albert M, Schnabel F, Chun J, Schwartz S, Lee J, Klautau Leite AP, Moy L.

Clin Imaging. 2015 Nov-Dec;39(6):987-92. doi: 10.1016/j.clinimag.2015.08.001. Epub 2015 Aug 6.

15.

Breast cancer screening in the era of density notification legislation: summary of 2014 Massachusetts experience and suggestion of an evidence-based management algorithm by multi-disciplinary expert panel.

Freer PE, Slanetz PJ, Haas JS, Tung NM, Hughes KS, Armstrong K, Semine AA, Troyan SL, Birdwell RL.

Breast Cancer Res Treat. 2015 Sep;153(2):455-64. doi: 10.1007/s10549-015-3534-9. Epub 2015 Aug 20. Review.

16.

Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.

Tice JA, Miglioretti DL, Li CS, Vachon CM, Gard CC, Kerlikowske K.

J Clin Oncol. 2015 Oct 1;33(28):3137-43. doi: 10.1200/JCO.2015.60.8869. Epub 2015 Aug 17.

17.

The Divide Between Breast Density Notification Laws and Evidence-Based Guidelines for Breast Cancer Screening: Legislating Practice.

Haas JS, Kaplan CP.

JAMA Intern Med. 2015 Sep;175(9):1439-40. doi: 10.1001/jamainternmed.2015.3040. No abstract available.

18.

Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.

Zheng Y, Keller BM, Ray S, Wang Y, Conant EF, Gee JC, Kontos D.

Med Phys. 2015 Jul;42(7):4149-60. doi: 10.1118/1.4921996.

19.

Misclassification of Breast Imaging Reporting and Data System (BI-RADS) Mammographic Density and Implications for Breast Density Reporting Legislation.

Gard CC, Aiello Bowles EJ, Miglioretti DL, Taplin SH, Rutter CM.

Breast J. 2015 Sep-Oct;21(5):481-9. doi: 10.1111/tbj.12443. Epub 2015 Jul 1.

20.

Mammography in asymptomatic women aged 40-49 years.

Silva FX, Katz L, Souza AS, Amorim MM.

Rev Saude Publica. 2014 Dec;48(6):931-9. doi: 10.1590/S0034-8910.2014048005349. English, Portuguese.

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