Breast density assessment using a 3T MRI system: Comparison among different sequences

PLoS ONE

Volumn 9, Issue 6, 2014, Pages

  Tagliafico, Alberto ^a   Bignotti, Bianca ^a   Tagliafico, Giulio ^b   Astengo, Davide ^a   Martino, Lucia ^a   Airaldi, Sonia ^a   Signori, Alessio ^a   Sormani, Maria Pia ^a   Houssami, Nehmat ^c   Calabrese, Massimo ^d  

^a UNIVERSITY OF GENOA   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF SYDNEY   (Australia)

^d UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; BREAST DENSITY PERCENTAGE; BREAST EXAMINATION; CLINICAL ARTICLE; CLINICAL PROTOCOL; CONTROLLED STUDY; FEMALE; FUNCTIONAL ASSESSMENT; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOME ASSESSMENT; PHYSICAL PARAMETERS; SEQUENCE ANALYSIS; BREAST; COMPARATIVE STUDY; COMPUTER PROGRAM; IMAGE PROCESSING; MIDDLE AGED; PATHOPHYSIOLOGY; PROCEDURES; THREE DIMENSIONAL IMAGING;

ADULT; AGED; BREAST; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; SOFTWARE;

EID: 84902504191     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0099027     Document Type: Article

References (42)

1. Martin LJ, Boyd NF (2008) Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence. Breast Cancer Res 10: 201.
2. McCormack VA, Dos SSI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev 15: 1159-1169.
3. Houssami N, Kerlikowske K (2012) The impact of breast density on breast cancer risk and breast screening. Curr Breast Cancer Rep doi:10.1007/s12609-012- 0070-z.
4. Harvey JA, Bovbjerg VE (2004) Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 230: 29-41. (Pubitemid 37549780)
5. Diorio C, Pollak M, Byrne C, Mâsse B, Hébert-Croteau N, et al. (2004) Insulin-like growth factor-I, IGF-binding protein-3, and mammographic breast density. Cancer Epidemiol Biomarkers Prev 14: 1065-1073.
6. Highnam R, Jeffreys M, McCormack V, Warren R, Davey Smith G, et al. (2007) Comparing measurements of breast density. Phys Med Biol 52: 5881-5895. (Pubitemid 47485419)
7. Tice JA, Cummings SR, Ziv E, Kerlikowske K (2005) Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population. Breast Cancer Res Treat 94: 115-122. (Pubitemid 41547108)
8. Darabi H, Czene K, Zhao W, Liu J, Hall P, et al. (2012) Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement. Breast Cancer Res 14: R25.
9. Gram IT, Funkhouser E, Tabar L (1997) The Tabar classification of mammographic parenchymal patterns. Eur J Radiol 24: 131-136. (Pubitemid 27165353)
10. Gram IT, Bremnes Y, Ursin G, Maskarinec G, Bjurstam N, et al. (2005) Percentage density, Wolfe's and Tabar's mammographic patterns: agreement and association with risk factors for breast cancer. Breast Cancer Res 7: R854-861.
11. Wolfe JN (1976) Risk for breast cancer development determined by mammographic parenchymal pattern 37: 2486-2492.
12. Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, et al. (1995) Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 87: 670-675.
13. Byng JW, Yaffe MJ, Jong RA, Shumak RS, Lockwood GA, et al. (1998) Analysis of mammographic density and breast cancer risk from digitized mammograms. Radiographics 18: 1587-1598. (Pubitemid 128467077)
14. Tagliafico A, Calabrese M, Tagliafico G, Resmini E, Martinoli C, et al. (2011) Increased mammographic breast density in acromegaly: quantitative and qualitative assessment. Eur J Endocrinol 164: 335-340.
15. Tagliafico A, Tagliafico G, Tosto S, Chiesa F, Martinoli C, et al. (2009) Mammographic density estimation: comparison among BI-RADS categories, a semi-automated software and a fully automated one. Breast 18: 35-40.
16. Tagliafico A, Tagliafico G, Astengo D, Cavagnetto F, Rosasco R, et al. (2012) Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software. Eur Radiol 22: 1265-1270.
17. Khazen M, Warren RM, Boggis CR, Bryant EC, Reed S, et al. (2008) A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging. Cancer Epidemiol Biomarkers Prev 17: 2268-2274.
18. Lobbes MB, Cleutjens JP, Lima Passos V, Frotscher C, Lahaye MJ, et al. (2012) Density is in the eye of the beholder: visual versus semi-automated assessment of breast density on standard mammograms. Insights Imaging 3: 91-99.
19. Klifa C, Carballido-Gamio J, Wilmes L, Laprie A, Lobo C, et al. (2004) Quantification of breast tissue index from MR data using fuzzy clustering. Conf Proc IEEE Eng Med Biol Soc 3: 1667-1670. (Pubitemid 40035720)
20. Poon CS, Bronskill MJ, Henkelman RM, Boyd NF (1992) Quantitative magnetic resonance imaging parameters and their relationship to mammographic pattern. J Natl Cancer Inst 84: 777-781.
21. Graham SJ, Bronskill MJ, Byng JW, Yaffe MJ, Boyd NF (1996) Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography. Br J Cancer 73: 162-168. (Pubitemid 26028329)
22. Lee NA, Rusinek H, Weinreb J, Chandra R, Toth H, et al. (1997) 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 168: 501-506. (Pubitemid 27051997)
23. Wei J, Chan HP, Helvie MA, Roubidoux MA, Sahiner B, et al. (2004) Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images. Med Phys 31: 933-942. (Pubitemid 38508875)
24. Lu LJ, Nishino TK, Johnson RF, Nayeem F, Brunder DG, et al. (2012) Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm. Phys Med Biol 57: 6903-6927.
25. Tagliafico A, Tagliafico G, Astengo D, Airaldi S, Calabrese M, et al. (2013) Comparative estimation of percentage breast tissue density for digital mammography, digital breast tomosynthesis, and magnetic resonance imaging. Breast Cancer Res Treat 138: 311-317.
26. Reeder SB, McKenzie CA, Pineda AR, Yu H, Shimakawa A, et al. (2007) Water-fat separation with IDEAL gradient-echo imaging. J Magn Reson Imaging 25: 644-652. (Pubitemid 46355429)
27. Reeder SB, Wen Z, Yu H, Pineda AR, Gold GE, et al. (2004) Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 51: 35-45. (Pubitemid 38095700)
28. Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, et al. (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46: 1296-1316.
29. Tagliafico A, Rescinito G, Monetti F, Villa A, Chiesa F, et al. (2012) Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0 T. Radiol Med 117: 992-1003.
30. Dixon W (1984) Simple proton spectroscopic imaging. Radiology 153: 189-194.
31. Glover G (1991) Multipoint Dixon technique for water and fat proton and susceptibility imaging. J Magn Reson Imaging 1: 521-530.
32. Pineda AR, Reeder SB, Wen Z, Pelc NJ (2005) Cramér-Rao bounds for three-point decomposition of water and fat. Magn Reson Med 54: 625-635. (Pubitemid 41233757)
33. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33: 159-174. (Pubitemid 8054849)
34. Jones J, Hunter D (1995) Consensus methods for medical and health services research. BMJ 311: 376-380.
35. Tagliafico A, Tagliafico G, Houssami N (2013) Differences in breast density assessment using mammography, tomosynthesis and MRI and their implications for practice. Br J Radiol 86(1032):20130528.
36. Klifa C, Carballido-Gamio J, Wilmes L, Laprie A, Shepherd J, et al. (2010) Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort. Magn Reson Imaging 28: 8-15.
37. Thompson DJ, Leach MO, Kwan-Lim G, Gayther SA, Ramus SJ, et al. (2009) 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 11: R80.
38. Eng-Wong J, Orzano-Birgani J, Chow CK, Venzon D, Yao J, et al. (2008) Effect of raloxifene on mammographic density and breast magnetic resonance imaging in premenopausal women at increased risk for breast cancer. Cancer Epidemiol Biomarkers Prev 17: 1696-1701.
39. Wang J, Azziz A, Fan B, Malkov S, Klifa C, et al. (2013) Agreement of Mammographic Measures of Volumetric Breast Density to MRI. PLoS One DOI: 10.1371/journal.pone.0081653.
40. Kopans DB (2008) Basic physics and doubts about relationship between mammographically determined tissue density and breast cancer risk. Radiology 246: 348-353.
41. Jordan CD, Daniel BL, Koch KM, Yu H, Conolly S, et al. (2013) Subject-specific models of susceptibility-induced B(0) field variations in breast MRI. J Magn Reson Imaging 37: 227-232.
42. Krishnamurthy R1, Pednekar A, Kouwenhoven M, Cheong B, Muthupillai R (2013) Evaluation of a subject specific dual-transmit approach for improving B1 field homogeneity in cardiovascular magnetic resonance at 3T. J Cardiovasc Magn Reson 15: 68.