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

Journal of Magnetic Resonance Imaging

Volumn 38, Issue 2, 2013, Pages 474-481

  Clendenen, Tess V ^a   Zeleniuch Jacquotte, Anne ^a,b   Moy, Linda ^a   Pike, Malcolm C ^c   Rusinek, Henry ^a   Kim, Sungheon ^a  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

3 point Dixon; breast MRI; fibroglandular tissue; fibroglandular tissue breast density; fuzzy c means; segmentation

Indexed keywords

3 POINT DIXON SEGMENTATION METHOD; ADIPOSE TISSUE; ADULT; ANALYTIC METHOD; ARTICLE; BODY POSITION; BREAST; CLUSTER ANALYSIS; FEMALE; FIBROGLANDULAR TISSUE; FUZZY SYSTEM; HUMAN; INTERMETHOD COMPARISON; LONGITUDINAL STUDY; MEASUREMENT; MENSTRUAL CYCLE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PREMENOPAUSE; PRIORITY JOURNAL; REPRODUCIBILITY; WHOLE BODY MRI;

3-POINT DIXON; BREAST MRI; FIBROGLANDULAR TISSUE; FIBROGLANDULAR TISSUE %, BREAST DENSITY; FUZZY C-MEANS; SEGMENTATION;

ADULT; ALGORITHMS; BREAST; DENSITOMETRY; FEMALE; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84882630254     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24002     Document Type: Article

References (26)

1. Wolfe JN, Saftlas AF, Salane M,. Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. AJR Am J Roentgenol 1987; 148: 1087-1092. (Pubitemid 17083062)
2. Boyd NF, Byng JW, Jong RA, et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 1995; 87: 670-675.
3. Byrne C, Schairer C, Wolfe J, et al. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst 1995; 87: 1622-1629.
4. Brisson J, Merletti F, Sadowsky NL, Twaddle JA, Morrison AS, Cole P,. Mammographic features of the breast and breast cancer risk. Am J Epidemiol 1982; 115: 428-437. (Pubitemid 12136756)
5. Saftlas AF, Hoover RN, Brinton LA, et al. Mammographic densities and risk of breast cancer. Cancer 1991; 67: 2833-2838.
6. Cuzick J, Warwick J, Pinney E, et al. Tamoxifen-induced reduction in mammographic density and breast cancer risk reduction: a nested case-control study. J Natl Cancer Inst 2011; 103: 744-752.
7. McTiernan A, Martin CF, Peck JD, et al. Estrogen-plus-progestin use and mammographic density in postmenopausal women: Women's Health Initiative randomized trial. J Natl Cancer Inst 2005; 97: 1366-1376. (Pubitemid 41487804)
8. Rutter CM, Mandelson MT, Laya MB, Seger DJ, Taplin S,. Changes in breast density associated with initiation, discontinuation, and continuing use of hormone replacement therapy. JAMA 2001; 285: 171-176. (Pubitemid 32048518)
9. Greendale GA, Reboussin BA, Slone S, Wasilauskas C, Pike MC, Ursin G,. Postmenopausal hormone therapy and change in mammographic density. J Natl Cancer Inst 2003; 95: 30-37. (Pubitemid 36124293)
10. Graham SJ, Bronskill MJ, Byng JW, Yaffe MJ, Boyd NF,. Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography. Br J Cancer 1996; 73: 162-168. (Pubitemid 26028329)
11. Boyd N, Martin L, Chavez S, et al. Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study. Lancet Oncol 2009; 10: 569-580.
12. Klifa C, Carballido-Gamio J, Wilmes L, et al. Quantification of breast tissue index from MR data using fuzzy clustering. Conf Proc IEEE Eng Med Biol Soc 2004; 3: 1667-1670. (Pubitemid 40035720)
13. Lee N, Rusinek H, Weinreb J, et al. Fatty and fibroglandular tissue volumes in the breasts of women 20-83 years old: comparison of X-ray mammography and computer-assisted MR imaging. AJR Am J Roentgenol 1997; 168: 501-506. (Pubitemid 27051997)
14. Wei J, Chan H, Helvie M, et al. Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images. Med Phys 2004; 31: 933-942. (Pubitemid 38508875)
15. Thompson DJ, Leach MO, Kwan-Lim G, et al. 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. Breast Cancer Res 2009; 11: R80.
16. Nie K, Chen JH, Chan S, et al. Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI. Med Phys 2008; 35: 5253-5262.
17. Graham S, Stanchev P, Lloyd-Smith J, Bronskill M, Plewes D,. Changes in fibroglandular volume and water content of breast tissue during the menstrual cycle observed by MR imaging at 1.5 T. J Magn Reson Imaging 1995; 5: 695-701.
18. Buist D, Aiello E, Miglioretti D, White E,. Mammographic breast density, dense area, and breast area differences by phase in the menstrual cycle. Cancer Epidemiol Biomarkers Prev 2006; 15: 2303-2306. (Pubitemid 44877060)
19. Ursin G, Parisky Y, Pike M, Spicer D,. Mammographic density changes during the menstrual cycle. Cancer Epidemiol Biomarkers Prev 2001; 10: 141-142. (Pubitemid 32172433)
20. Morrow M, Chatterton RT Jr, Rademaker AW, et al. A prospective study of variability in mammographic density during the menstrual cycle. Breast Cancer Res Treat 2010; 121: 565-574.
21. Rofsky NM, Lee VS, Laub G, et al. Abdominal MR imaging with a volumetric interpolated breath-hold examination. Radiology 1999; 212: 876-884. (Pubitemid 29410996)
22. Reeder SB, Wen Z, Yu H, et al. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 2004; 51: 35-45. (Pubitemid 38095700)
23. Bland JM, Altman DG,. Measuring agreement in method comparison studies. Stat Methods Med Res 1999; 8: 135-160. (Pubitemid 29425900)
24. Bland JM, Altman DG,. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat 2007; 17: 571-582. (Pubitemid 47027010)
25. Chan S, Su MY, Lei FJ, et al. Menstrual cycle-related fluctuations in breast density measured by using three-dimensional MR imaging. Radiology 2011; 261: 744-751.
26. Klifa C, Carballido-Gamio J, Wilmes L, et al. Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort. Magn Reson Imaging 2010; 28: 8-15.