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Items: 1 to 20 of 124

1.

Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.

Klifa C, Carballido-Gamio J, Wilmes L, Laprie A, Shepherd J, Gibbs J, Fan B, Noworolski S, Hylton N.

Magn Reson Imaging. 2010 Jan;28(1):8-15. doi: 10.1016/j.mri.2009.05.040. Epub 2009 Jul 23.

2.

Introduction of an automated user-independent quantitative volumetric magnetic resonance imaging breast density measurement system using the Dixon sequence: comparison with mammographic breast density assessment.

Wengert GJ, Helbich TH, Vogl WD, Baltzer P, Langs G, Weber M, Bogner W, Gruber S, Trattnig S, Pinker K.

Invest Radiol. 2015 Feb;50(2):73-80. doi: 10.1097/RLI.0000000000000102.

PMID:
25333307
3.

Volumetric breast density estimation from full-field digital mammograms.

van Engeland S, Snoeren PR, Huisman H, Boetes C, Karssemeijer N.

IEEE Trans Med Imaging. 2006 Mar;25(3):273-82.

PMID:
16524084
4.

Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.

Chen JH, Lee YW, Chan SW, Yeh DC, Chang RF.

Ultrasound Med Biol. 2016 May;42(5):1211-20. doi: 10.1016/j.ultrasmedbio.2015.12.015. Epub 2016 Jan 28.

PMID:
26831342
5.

Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images.

Wei J, Chan HP, Helvie MA, Roubidoux MA, Sahiner B, Hadjiiski LM, Zhou C, Paquerault S, Chenevert T, Goodsitt MM.

Med Phys. 2004 Apr;31(4):933-42.

6.

Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI.

Nie K, Chang D, Chen JH, Hsu CC, Nalcioglu O, Su MY.

Med Phys. 2010 Jan;37(1):217-26.

7.

Comparison of 3-point Dixon imaging and fuzzy C-means clustering methods for breast density measurement.

Clendenen TV, Zeleniuch-Jacquotte A, Moy L, Pike MC, Rusinek H, Kim S.

J Magn Reson Imaging. 2013 Aug;38(2):474-81. doi: 10.1002/jmri.24002. Epub 2013 Jan 4.

PMID:
23292922
8.

Does MRI breast "density" (degree of background enhancement) correlate with mammographic breast density?

Hansen NL, Kuhl CK, Barabasch A, Strobel K, Schrading S.

J Magn Reson Imaging. 2014 Aug;40(2):483-9. doi: 10.1002/jmri.24495. Epub 2014 Jan 21.

PMID:
24446230
9.

Breast segmentation and density estimation in breast MRI: a fully automatic framework.

Gubern-Mérida A, Kallenberg M, Mann RM, Martí R, Karssemeijer N.

IEEE J Biomed Health Inform. 2015 Jan;19(1):349-57. doi: 10.1109/JBHI.2014.2311163.

PMID:
25561456
10.

Estimation of breast density: an adaptive moment preserving method for segmentation of fibroglandular tissue in breast magnetic resonance images.

Wei CH, Li Y, Huang PJ, Gwo CY, Harms SE.

Eur J Radiol. 2012 Apr;81(4):e618-24. doi: 10.1016/j.ejrad.2011.12.029. Epub 2012 Jan 21.

PMID:
22266417
11.

Diffusion-weighted imaging of the high-risk breast: Apparent diffusion coefficient values and their relationship to breast density.

O'Flynn EA, Wilson RM, Allen SD, Locke I, Scurr E, deSouza NM.

J Magn Reson Imaging. 2014 Apr;39(4):805-11. doi: 10.1002/jmri.24243. Epub 2013 Sep 13.

PMID:
24038529
12.

Impact of skin removal on quantitative measurement of breast density using MRI.

Nie K, Chang D, Chen JH, Shih TC, Hsu CC, Nalcioglu O, Su MY.

Med Phys. 2010 Jan;37(1):227-33.

13.

Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts.

Giuliano V, Giuliano C.

Clin Imaging. 2013 May-Jun;37(3):480-6. doi: 10.1016/j.clinimag.2012.09.018. Epub 2012 Oct 30.

PMID:
23116728
14.

Novel approach to evaluating breast density utilizing ultrasound tomography.

Glide C, Duric N, Littrup P.

Med Phys. 2007 Feb;34(2):744-53.

PMID:
17388192
15.

Atlas-based probabilistic fibroglandular tissue segmentation in breast MRI.

Wu S, Weinstein S, Kontos D.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):437-45.

16.

Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.

Wu S, Weinstein SP, Conant EF, Kontos D.

Med Phys. 2013 Dec;40(12):122302. doi: 10.1118/1.4829496.

17.

Assessing the usefulness of a novel MRI-based breast density estimation algorithm in a cohort of women at high genetic risk of breast cancer: the UK MARIBS study.

Thompson DJ, Leach MO, Kwan-Lim G, Gayther SA, Ramus SJ, Warsi I, Lennard F, Khazen M, Bryant E, Reed S, Boggis CR, Evans DG, Eeles RA, Easton DF, Warren RM; UK study of MRI screening for breast cancer in women at high risk (MARIBS).

Breast Cancer Res. 2009;11(6):R80. doi: 10.1186/bcr2447. Epub 2009 Nov 11.

18.

A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging.

Khazen M, Warren RM, Boggis CR, Bryant EC, Reed S, Warsi I, Pointon LJ, Kwan-Lim GE, Thompson D, Eeles R, Easton D, Evans DG, Leach MO; Collaborators in the United Kingdom Medical Research Council Magnetic Resonance Imaging in Breast Screening (MARIBS) Study.

Cancer Epidemiol Biomarkers Prev. 2008 Sep;17(9):2268-74. doi: 10.1158/1055-9965.EPI-07-2547.

19.

Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.

Chen W, Giger ML, Bick U, Newstead GM.

Med Phys. 2006 Aug;33(8):2878-87.

PMID:
16964864
20.

Agreement of mammographic measures of volumetric breast density to MRI.

Wang J, Azziz A, Fan B, Malkov S, Klifa C, Newitt D, Yitta S, Hylton N, Kerlikowske K, Shepherd JA.

PLoS One. 2013 Dec 4;8(12):e81653. doi: 10.1371/journal.pone.0081653. eCollection 2013.

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