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Items: 1 to 20 of 151

1.

A novel automated mammographic density measure and breast cancer risk.

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

J Natl Cancer Inst. 2012 Jul 3;104(13):1028-37. doi: 10.1093/jnci/djs254. Epub 2012 Jul 3. Erratum in: J Natl Cancer Inst. 2012 Nov 7;104(21):1687-90.

2.

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.

3.

An automated approach for estimation of breast density.

Heine JJ, Carston MJ, Scott CG, Brandt KR, Wu FF, Pankratz VS, Sellers TA, Vachon CM.

Cancer Epidemiol Biomarkers Prev. 2008 Nov;17(11):3090-7. doi: 10.1158/1055-9965.EPI-08-0170.

4.

Endogenous hormone levels, mammographic density, and subsequent risk of breast cancer in postmenopausal women.

Tamimi RM, Byrne C, Colditz GA, Hankinson SE.

J Natl Cancer Inst. 2007 Aug 1;99(15):1178-87. Epub 2007 Jul 24.

5.

Automated measurement of volumetric mammographic density: a tool for widespread breast cancer risk assessment.

Brand JS, Czene K, Shepherd JA, Leifland K, Heddson B, Sundbom A, Eriksson M, Li J, Humphreys K, Hall P.

Cancer Epidemiol Biomarkers Prev. 2014 Sep;23(9):1764-72. doi: 10.1158/1055-9965.EPI-13-1219. Epub 2014 Jul 10.

6.
7.

Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms.

Nguyen TL, Aung YK, Evans CF, Yoon-Ho C, Jenkins MA, Sung J, Hopper JL, Song YM.

Breast Cancer Res. 2015 Nov 18;17:142. doi: 10.1186/s13058-015-0654-4.

8.

Texture features from mammographic images and risk of breast cancer.

Manduca A, Carston MJ, Heine JJ, Scott CG, Pankratz VS, Brandt KR, Sellers TA, Vachon CM, Cerhan JR.

Cancer Epidemiol Biomarkers Prev. 2009 Mar;18(3):837-45. doi: 10.1158/1055-9965.EPI-08-0631. Epub 2009 Mar 3.

9.

Longitudinal trends in mammographic percent density and breast cancer risk.

Vachon CM, Pankratz VS, Scott CG, Maloney SD, Ghosh K, Brandt KR, Milanese T, Carston MJ, Sellers TA.

Cancer Epidemiol Biomarkers Prev. 2007 May;16(5):921-8.

10.

Full field digital mammography and breast density: comparison of calibrated and noncalibrated measurements.

Heine JJ, Fowler EE, Flowers CI.

Acad Radiol. 2011 Nov;18(11):1430-6. doi: 10.1016/j.acra.2011.07.011.

12.

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Keller BM, Nathan DL, Wang Y, Zheng Y, Gee JC, Conant EF, Kontos D.

Med Phys. 2012 Aug;39(8):4903-17. doi: 10.1118/1.4736530.

13.

AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes.

Nickson C, Arzhaeva Y, Aitken Z, Elgindy T, Buckley M, Li M, English DR, Kavanagh AM.

Breast Cancer Res. 2013;15(5):R80.

14.

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.

15.

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.

16.

Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.

Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, Lockwood GA, Tritchler DL, Yaffe MJ.

J Natl Cancer Inst. 1995 May 3;87(9):670-5.

PMID:
7752271
17.

Enhancement of mammographic density measures in breast cancer risk prediction.

Cheddad A, Czene K, Shepherd JA, Li J, Hall P, Humphreys K.

Cancer Epidemiol Biomarkers Prev. 2014 Jul;23(7):1314-23. doi: 10.1158/1055-9965.EPI-13-1240. Epub 2014 Apr 10.

18.

Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk.

Sovio U, Li J, Aitken Z, Humphreys K, Czene K, Moss S, Hall P, McCormack V, dos-Santos-Silva I.

Br J Cancer. 2014 Apr 2;110(7):1908-16. doi: 10.1038/bjc.2014.82. Epub 2014 Feb 20.

19.

Beyond breast cancer: mammographic features and mortality risk in a population of healthy women.

Murphy RA, Schairer C, Gierach GL, Byrne C, Sherman ME, Register TC, Ding J, Kritchevsky SB, Harris TB.

PLoS One. 2013 Oct 25;8(10):e78722. doi: 10.1371/journal.pone.0078722. eCollection 2013.

20.

Area and volumetric density estimation in processed full-field digital mammograms for risk assessment of breast cancer.

Cheddad A, Czene K, Eriksson M, Li J, Easton D, Hall P, Humphreys K.

PLoS One. 2014 Oct 20;9(10):e110690. doi: 10.1371/journal.pone.0110690. eCollection 2014.

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