메뉴 건너뛰기




Volumn 8, Issue 6, 2015, Pages 435-445

Imaging breast density: Established and emerging modalities

Author keywords

[No Author keywords available]

Indexed keywords

DEOXYHEMOGLOBIN;

EID: 84949815961     PISSN: None     EISSN: 19365233     Source Type: Journal    
DOI: 10.1016/j.tranon.2015.10.002     Document Type: Review
Times cited : (27)

References (116)
  • 5
    • 33749349267 scopus 로고    scopus 로고
    • Mammographic density, hormone therapy, and risk of breast cancer
    • Ursin G and Pike M (2006). Mammographic density, hormone therapy, and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 15(9), 1750.
    • (2006) Cancer Epidemiol Biomarkers Prev , vol.15 , Issue.9 , pp. 1750
    • Ursin, G.1    Pike, M.2
  • 6
    • 0037413954 scopus 로고    scopus 로고
    • Mammographic breast density and family history of breast cancer
    • Ziv E, Shepherd J, Smith-Bindman R, and Kerlikowske K (2003). Mammographic breast density and family history of breast cancer. J Natl Cancer Inst 95(7), 556-558.
    • (2003) J Natl Cancer Inst , vol.95 , Issue.7 , pp. 556-558
    • Ziv, E.1    Shepherd, J.2    Smith-Bindman, R.3    Kerlikowske, K.4
  • 8
    • 22444440009 scopus 로고    scopus 로고
    • Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms
    • Li H, Giger ML, Olopade OI, Margolis A, Lan L, and Chinander MR (2005). Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. Acad Radiol 12, 863-873.
    • (2005) Acad Radiol , vol.12 , pp. 863-873
    • Li, H.1    Giger, M.L.2    Olopade, O.I.3    Margolis, A.4    Lan, L.5    Chinander, M.R.6
  • 9
    • 0035190378 scopus 로고    scopus 로고
    • Mammary gland architecture as a determining factor in the susceptibility of the human breast to cancer
    • Russo J, Lynch H, and Russo HI (2001). Mammary gland architecture as a determining factor in the susceptibility of the human breast to cancer. Breast J 7, 278-291.
    • (2001) Breast J , vol.7 , pp. 278-291
    • Russo, J.1    Lynch, H.2    Russo, H.I.3
  • 11
    • 85030383675 scopus 로고    scopus 로고
    • H.R. (). 1302. U.S. Congress. [Published October 2011, Accessed November 15, 2011]
    • H.R. (). 1302. Breast density and mammography reporting act of 2011. U.S. Congress. http://www.govtrack.us/congress/bill. xpd?bill=h112-3102 . [Published October 2011, Accessed November 15, 2011].
    • Breast density and mammography reporting act of 2011.
  • 12
    • 84859147917 scopus 로고    scopus 로고
    • Standardization of clinical breast density measurement
    • Ng KH, Yip CH, and Taib NA (2012). Standardization of clinical breast density measurement. Lancet Oncol 13(4), 334-336.
    • (2012) Lancet Oncol , vol.13 , Issue.4 , pp. 334-336
    • Ng, K.H.1    Yip, C.H.2    Taib, N.A.3
  • 13
    • 0017067087 scopus 로고
    • Breast patterns as an index of risk for developing breast cancer
    • Wolfe JN (1976). Breast patterns as an index of risk for developing breast cancer. Am J Roentgenol 126, 1130-1139.
    • (1976) Am J Roentgenol , vol.126 , pp. 1130-1139
    • Wolfe, J.N.1
  • 14
    • 22844442934 scopus 로고    scopus 로고
    • Applications and literature review of the BI-RADS classification
    • Obenauer S, Hermann KP, and Grabbe E (2005). Applications and literature review of the BI-RADS classification. Eur Radiol 15(5), 1027-1036.
    • (2005) Eur Radiol , vol.15 , Issue.5 , pp. 1027-1036
    • Obenauer, S.1    Hermann, K.P.2    Grabbe, E.3
  • 18
    • 33646263128 scopus 로고    scopus 로고
    • A longitudinal investigation of mammographic density: The multiethnic cohort
    • Maskarinec G, Pagano I, Lurie G, and Kolonel LN (2006). A longitudinal investigation of mammographic density: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev 15(4), 732-739.
    • (2006) Cancer Epidemiol Biomarkers Prev , vol.15 , Issue.4 , pp. 732-739
    • Maskarinec, G.1    Pagano, I.2    Lurie, G.3    Kolonel, L.N.4
  • 25
    • 25144431748 scopus 로고    scopus 로고
    • Mammographic breast density and cancer risk: The radiological view
    • YaffeMand Boyd N (2005). Mammographic breast density and cancer risk: the radiological view. Gynecol Endocrinol 21(Suppl. 1), 6-11.
    • (2005) Gynecol Endocrinol , vol.21 , pp. 6-11
    • Yaffe, M.1    Boyd, N.2
  • 26
    • 35649003048 scopus 로고    scopus 로고
    • A new method for quantitative analysis of mammographic density
    • Glide-Hurst CK, Duric N, and Littrup P (2007). A new method for quantitative analysis of mammographic density. Med Phys 34(11), 4491-4498.
    • (2007) Med Phys , vol.34 , Issue.11 , pp. 4491-4498
    • Glide-Hurst, C.K.1    Duric, N.2    Littrup, P.3
  • 27
    • 84873994170 scopus 로고    scopus 로고
    • Canmammographic assessments lead to consider density as a risk factor for breast cancer?
    • Colin C, Prince V, and Valette PJ (2013). Canmammographic assessments lead to consider density as a risk factor for breast cancer? Eur J Radiol 82(3), 404-411.
    • (2013) Eur J Radiol , vol.82 , Issue.3 , pp. 404-411
    • Colin, C.1    Prince, V.2    Valette, P.J.3
  • 28
    • 84893706165 scopus 로고    scopus 로고
    • Variability of breast density assessment in short-term reimaging with digital mammography
    • Kim WH, Moon WK, Kim SM, Yi A, Chang JM, Koo HR, Lee SH, and Cho N (2013). Variability of breast density assessment in short-term reimaging with digital mammography. Eur J Radiol 82(10), 1724-1730.
    • (2013) Eur J Radiol , vol.82 , Issue.10 , pp. 1724-1730
    • Kim, W.H.1    Moon, W.K.2    Kim, S.M.3    Yi, A.4    Chang, J.M.5    Koo, H.R.6    Lee, S.H.7    Cho, N.8
  • 29
    • 0346218106 scopus 로고    scopus 로고
    • Quantitative assessment of mammographic breast density: Relationship with breast cancer risk
    • Harvey JA and Bovbjerg VE (2004). Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 230, 29-41.
    • (2004) Radiology , vol.230 , pp. 29-41
    • Harvey, J.A.1    Bovbjerg, V.E.2
  • 31
    • 38049054247 scopus 로고    scopus 로고
    • Breast cancer risk factors and a novel measure of volumetric breast density: Cross-sectional study
    • Jeffreys M, Warren R, Highnam R, and Davey Smith G (2008). Breast cancer risk factors and a novel measure of volumetric breast density: cross-sectional study. Br J Cancer 98(1), 210-216.
    • (2008) Br J Cancer , vol.98 , Issue.1 , pp. 210-216
    • Jeffreys, M.1    Warren, R.2    Highnam, R.3    Davey Smith, G.4
  • 32
    • 33646433440 scopus 로고    scopus 로고
    • Initial experiences of using an automated volumetric measure of breast density: The standard mammogram form
    • Jeffreys M, Warren R, Highnam R, and Smith GD (2006). Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. Br J Radiol 79(941), 378-382.
    • (2006) Br J Radiol , vol.79 , Issue.941 , pp. 378-382
    • Jeffreys, M.1    Warren, R.2    Highnam, R.3    Smith, G.D.4
  • 33
    • 33744810591 scopus 로고    scopus 로고
    • Breast composition measurements using retrospective standard mammogram form (SMF)
    • Highnam R, Pan X, Warren R, Jeffreys M, Davey Smith G, and Brady M (2006). Breast composition measurements using retrospective standard mammogram form (SMF). Phys Med Biol 51, 2695-2713.
    • (2006) Phys Med Biol , vol.51 , pp. 2695-2713
    • Highnam, R.1    Pan, X.2    Warren, R.3    Jeffreys, M.4    Davey Smith, G.5    Brady, M.6
  • 34
    • 34250825448 scopus 로고    scopus 로고
    • Comparison of a new and existing method of mammographic density measurement: Intramethod reliability and associations with known risk factors
    • McCormack VA, Highnam R, Perry N, and dos Santos Silva I (2007). Comparison of a new and existing method of mammographic density measurement: intramethod reliability and associations with known risk factors. Cancer Epidemiol Biomarkers Prev 16(6), 1148-1154.
    • (2007) Cancer Epidemiol Biomarkers Prev , vol.16 , Issue.6 , pp. 1148-1154
    • McCormack, V.A.1    Highnam, R.2    Perry, N.3    dos Santos Silva, I.4
  • 37
    • 84878301813 scopus 로고    scopus 로고
    • Automated volumetric breast density estimation: A comparison with visual assessment
    • Seo JM, Ko ES, Han BK, Ko EY, Shin JH, and Hahn SY (2013). Automated volumetric breast density estimation: a comparison with visual assessment. Clin Radiol 68(7), 690-695.
    • (2013) Clin Radiol , vol.68 , Issue.7 , pp. 690-695
    • Seo, J.M.1    Ko, E.S.2    Han, B.K.3    Ko, E.Y.4    Shin, J.H.5    Hahn, S.Y.6
  • 40
    • 39549083444 scopus 로고    scopus 로고
    • Basic physics and doubts about relationship between mammographically determined tissue density and breast cancer risk
    • Kopans DB (2008). Basic physics and doubts about relationship between mammographically determined tissue density and breast cancer risk. Radiology 246(2), 348-353.
    • (2008) Radiology , vol.246 , Issue.2 , pp. 348-353
    • Kopans, D.B.1
  • 44
    • 0031016817 scopus 로고    scopus 로고
    • Fatty and fibroglandular tissue volumes in the breasts of women 20-83 years old: Comparison of X-ray mammography and computer-assisted MR imaging
    • Lee NA, Rusinek H, Weinreb J, Chandra R, Toth H, Singer C, and Newstead G (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 168, 501-506.
    • (1997) AJR , vol.168 , pp. 501-506
    • Lee, N.A.1    Rusinek, H.2    Weinreb, J.3    Chandra, R.4    Toth, H.5    Singer, C.6    Newstead, G.7
  • 45
    • 23844481192 scopus 로고    scopus 로고
    • Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI
    • Yao J, Zujewski JA, Orzano J, Prindiville S, and Chow C (2005). Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI. Med Imaging Proc SPIE , 1942-1949.
    • (2005) Med Imaging Proc SPIE , pp. 1942-1949
    • Yao, J.1    Zujewski, J.A.2    Orzano, J.3    Prindiville, S.4    Chow, C.5
  • 47
    • 53349108666 scopus 로고    scopus 로고
    • 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 R, Boggis C R, Bryant EC, Reed S, Warsi I, Pointon LJ, Kwan-Lim GE, Thompson D, and Eeles R, 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(9), 2268-2274.
    • (2008) Cancer Epidemiol Biomarkers Prev , vol.17 , Issue.9 , pp. 2268-2274
    • Khazen, M.1    Warren, R.2    Boggis, C.R.3    Bryant, E.C.4    Reed, S.5    Warsi, I.6    Pointon, L.J.7    Kwan-Lim, G.E.8    Thompson, D.9    Eeles, R.10
  • 48
    • 77953485151 scopus 로고    scopus 로고
    • 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, and Reed S, 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(6), R80.
    • (2009) Breast Cancer Res , vol.11 , Issue.6
    • Thompson, D.J.1    Leach, M.O.2    Kwan-Lim, G.3    Gayther, S.A.4    Ramus, S.J.5    Warsi, I.6    Lennard, F.7    Khazen, M.8    Bryant, E.9    Reed, S.10
  • 49
    • 84882630254 scopus 로고    scopus 로고
    • Comparison of 3-point dixon imaging and fuzzy C-means clustering methods for breast density measurement
    • Clendenen TV, Zeleniuch-Jacquotte A,Moy L, PikeMC, Rusinek H, and Kim S (2013). Comparison of 3-point dixon imaging and fuzzy C-means clustering methods for breast density measurement. J Magn Reson Imaging 38(2), 474-481.
    • (2013) J Magn Reson Imaging , vol.38 , Issue.2 , pp. 474-481
    • Clendenen, T.V.1    Zeleniuch-Jacquotte, A.2    Moy, L.3    Pike, M.C.4    Rusinek, H.5    Kim, S.6
  • 50
    • 0030883897 scopus 로고    scopus 로고
    • Magnetic resonance properties of ex vivo breast tissue at 1.5 T
    • Graham SJ, Ness S, Hamilton BS, and Bronskill MJ (1997).Magnetic resonance properties of ex vivo breast tissue at 1.5 T. Magn Reson Med 38, 669-677.
    • (1997) Magn Reson Med , vol.38 , pp. 669-677
    • Graham, S.J.1    Ness, S.2    Hamilton, B.S.3    Bronskill, M.J.4
  • 51
    • 0029400880 scopus 로고
    • Changes in fibroglandular volume and water content of breast tissue during the menstrual cycle observed by MR imaging at 1.5 T
    • Graham SJ, Stanchev PL, Lloyd-Smith JO, Bronskill MJ, and Plewes DB (1995). 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 5, 695-701.
    • (1995) J Magn Reson Imaging , vol.5 , pp. 695-701
    • Graham, S.J.1    Stanchev, P.L.2    Lloyd-Smith, J.O.3    Bronskill, M.J.4    Plewes, D.B.5
  • 52
    • 0030053572 scopus 로고    scopus 로고
    • Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography
    • Graham SJ, Bronskill MJ, Byng JW, Yaffe MJ, and Boyd NF (1996). Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography. Br J Cancer 73, 162-168.
    • (1996) Br J Cancer , vol.73 , pp. 162-168
    • Graham, S.J.1    Bronskill, M.J.2    Byng, J.W.3    Yaffe, M.J.4    Boyd, N.F.5
  • 54
    • 56749179848 scopus 로고    scopus 로고
    • Development of a quantitative method for analysis of breast density based on 3-dimensional breast MRI
    • Nie K, Chen JH, Chan S, Chau MK, Yu HJ, Bahri S, Tseng T, Nalcioglu O, and Su MY (2008). Development of a quantitative method for analysis of breast density based on 3-dimensional breast MRI. Med Phys 35(12), 5253-5262.
    • (2008) Med Phys , vol.35 , Issue.12 , pp. 5253-5262
    • Nie, K.1    Chen, J.H.2    Chan, S.3    Chau, M.K.4    Yu, H.J.5    Bahri, S.6    Tseng, T.7    Nalcioglu, O.8    Su, M.Y.9
  • 56
    • 79955753887 scopus 로고    scopus 로고
    • Fully automated segmentation of the pectoralis muscle boundary in breast MR images
    • [796309-796309-8]
    • Wang L, Filippatos K, Friman O, and Hahn HK (2011). Fully automated segmentation of the pectoralis muscle boundary in breast MR images. SPIE Med Imaging [796309-796309-8].
    • (2011) SPIE Med Imaging
    • Wang, L.1    Filippatos, K.2    Friman, O.3    Hahn, H.K.4
  • 57
    • 84867290696 scopus 로고    scopus 로고
    • Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation
    • GallegoC and Martel AL (2012). Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation. Med Phys 39(10), 5835-5848.
    • (2012) Med Phys , vol.39 , Issue.10 , pp. 5835-5848
    • Gallego, C.1    Martel, A.L.2
  • 60
    • 37049035589 scopus 로고    scopus 로고
    • Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching
    • Ertas G, Gulcur HO, Osman O, Ucan ON, Tunaci M, and DursunM(2008). Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching. Comput Biol Med 38, 116-126.
    • (2008) Comput Biol Med , vol.38 , pp. 116-126
    • Ertas, G.1    Gulcur, H.O.2    Osman, O.3    Ucan, O.N.4    Tunaci, M.5    Dursun, M.6
  • 61
    • 84890089951 scopus 로고    scopus 로고
    • Template-based automatic breast segmentation on MRI by excluding the chest region
    • Lin M, Chen JH, Wang X, Chan S, Chen S, and Su MY (2013). Template-based automatic breast segmentation on MRI by excluding the chest region. Med Phys 40(12), 122301.
    • (2013) Med Phys , vol.40 , Issue.12
    • Lin, M.1    Chen, J.H.2    Wang, X.3    Chan, S.4    Chen, S.5    Su, M.Y.6
  • 62
    • 84872972908 scopus 로고    scopus 로고
    • Atlas-based probabilistic fibroglandular tissue segmentation in breast MRI
    • Wu S, Weinstein S, and Kontos D (2012). Atlas-based probabilistic fibroglandular tissue segmentation in breast MRI. Med Image Comput Comput Assist Interv 15, 437-445.
    • (2012) Med Image Comput Comput Assist Interv , vol.15 , pp. 437-445
    • Wu, S.1    Weinstein, S.2    Kontos, D.3
  • 63
    • 84890080605 scopus 로고    scopus 로고
    • 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, and Kontos D (2013). Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method. Med Phys 40(12), 122302.
    • (2013) Med Phys , vol.40 , Issue.12
    • Wu, S.1    Weinstein, S.P.2    Conant, E.F.3    Kontos, D.4
  • 64
    • 26844544323 scopus 로고    scopus 로고
    • An adaptive tissue characterization network for model-free visualization of dynamic contrast enhanced magnetic resonance image data
    • Twellmann T, Lichte O, and Nattkemper TW (2005). An adaptive tissue characterization network for model-free visualization of dynamic contrast enhanced magnetic resonance image data. IEEE Trans Med Imaging 24(10), 1256-1266.
    • (2005) IEEE Trans Med Imaging , vol.24 , Issue.10 , pp. 1256-1266
    • Twellmann, T.1    Lichte, O.2    Nattkemper, T.W.3
  • 65
    • 79957995052 scopus 로고    scopus 로고
    • Automatic model-based 3D segmentation of the breast in MRI
    • Gallego C and Martel AL (2011). Automatic model-based 3D segmentation of the breast in MRI. Proc SPIE 7962, 796215-1-796215-8.
    • (2011) Proc SPIE , vol.7962 , pp. 796215-1-796215-8
    • Gallego, C.1    Martel, A.L.2
  • 66
    • 84876173859 scopus 로고    scopus 로고
    • Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images
    • Wu S, Weinstein SP, Conant EF, Schnall MD, and Kontos D (2013). Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images. Med Phys 40(4), 042301.
    • (2013) Med Phys , vol.40 , Issue.4
    • Wu, S.1    Weinstein, S.P.2    Conant, E.F.3    Schnall, M.D.4    Kontos, D.5
  • 67
    • 73649095515 scopus 로고    scopus 로고
    • Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissue segmentation based on MRI
    • Nie K, Chang D, Chen JH, Hsu CC, Nalcioglu O, and Su MY (2010). Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissue segmentation based on MRI. Med Phys 37(1), 217-226.
    • (2010) Med Phys , vol.37 , Issue.1 , pp. 217-226
    • Nie, K.1    Chang, D.2    Chen, J.H.3    Hsu, C.C.4    Nalcioglu, O.5    Su, M.Y.6
  • 68
    • 73649119190 scopus 로고    scopus 로고
    • Impact of skin removal on quantitative measurement of breast density using MRI
    • Nie K, Chang D, Chen JH, Shih TC, Hsu CC, Nalcioglu O, and Su MY (2010). Impact of skin removal on quantitative measurement of breast density using MRI. Med Phys 37(1), 227-233.
    • (2010) Med Phys , vol.37 , Issue.1 , pp. 227-233
    • Nie, K.1    Chang, D.2    Chen, J.H.3    Shih, T.C.4    Hsu, C.C.5    Nalcioglu, O.6    Su, M.Y.7
  • 69
    • 81555218172 scopus 로고    scopus 로고
    • Menstrual cycle-related fluctuations in breast density measured by using three-dimensional MR imaging
    • Chan S, Su MY, Lei FJ, Wu JP, Lin M, Nalcioglu O, Feig SA, and Chen JH (2011). Menstrual cycle-related fluctuations in breast density measured by using three-dimensional MR imaging. Radiology 261(3), 744-751.
    • (2011) Radiology , vol.261 , Issue.3 , pp. 744-751
    • Chan, S.1    Su, M.Y.2    Lei, F.J.3    Wu, J.P.4    Lin, M.5    Nalcioglu, O.6    Feig, S.A.7    Chen, J.H.8
  • 72
    • 77950452352 scopus 로고    scopus 로고
    • MRI evaluation of decrease of breast density in the contralateral normal breast of patients receiving neoadjuvant chemotherapy
    • Chen JH, Nie K, Bahri S, Hsu CC, Hsu FT, Shih HN, Lin M, Nalcioglu O, and Su MY (2010). MRI evaluation of decrease of breast density in the contralateral normal breast of patients receiving neoadjuvant chemotherapy. Radiology 255(1), 44-52.
    • (2010) Radiology , vol.255 , Issue.1 , pp. 44-52
    • Chen, J.H.1    Nie, K.2    Bahri, S.3    Hsu, C.C.4    Hsu, F.T.5    Shih, H.N.6    Lin, M.7    Nalcioglu, O.8    Su, M.Y.9
  • 73
    • 84888062306 scopus 로고    scopus 로고
    • Effect of taxane-based neoadjuvant chemotherapy on fibroglandular tissue volume and percent breast density in the contralateral normal breast evaluated by 3T MR
    • Chen JH, Pan WF, Kao J, Lu J, Chen LK, Kuo CC, Chang CK, Chen WP, McLaren CE, and Bahri S, et al (2013). Effect of taxane-based neoadjuvant chemotherapy on fibroglandular tissue volume and percent breast density in the contralateral normal breast evaluated by 3T MR. NMR Biomed 26(12), 1705-1713.
    • (2013) NMR Biomed , vol.26 , Issue.12 , pp. 1705-1713
    • Chen, J.H.1    Pan, W.F.2    Kao, J.3    Lu, J.4    Chen, L.K.5    Kuo, C.C.6    Chang, C.K.7    Chen, W.P.8    McLaren, C.E.9    Bahri, S.10
  • 76
    • 67650097301 scopus 로고    scopus 로고
    • Breast percent density: Estimation on digital mammograms and central tomosynthesis projections
    • Bakic PR, Carton AK, Kontos D, Zhang C, Troxel AB, and Maidment AD (2009). Breast percent density: estimation on digital mammograms and central tomosynthesis projections. Radiology 252(1), 40-49.
    • (2009) Radiology , vol.252 , Issue.1 , pp. 40-49
    • Bakic, P.R.1    Carton, A.K.2    Kontos, D.3    Zhang, C.4    Troxel, A.B.5    Maidment, A.D.6
  • 77
    • 59449106646 scopus 로고    scopus 로고
    • Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: A preliminary study
    • Kontos D, Bakic PR, Carton AK, Troxel AB, Conant EF, and Maidment AD (2009). Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study. Acad Radiol 16(3), 283-298.
    • (2009) Acad Radiol , vol.16 , Issue.3 , pp. 283-298
    • Kontos, D.1    Bakic, P.R.2    Carton, A.K.3    Troxel, A.B.4    Conant, E.F.5    Maidment, A.D.6
  • 78
    • 84861529310 scopus 로고    scopus 로고
    • Mammographic density estimation: One-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software
    • Tagliafico A, Tagliafico G, Astengo D, Cavagnetto F, Rosasco R, Rescinito G, Monetti F, and Calabrese M (2012). Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software. Eur Radiol 22, 1265-1270.
    • (2012) Eur Radiol , vol.22 , pp. 1265-1270
    • Tagliafico, A.1    Tagliafico, G.2    Astengo, D.3    Cavagnetto, F.4    Rosasco, R.5    Rescinito, G.6    Monetti, F.7    Calabrese, M.8
  • 79
    • 75749108312 scopus 로고    scopus 로고
    • Quantification of breast density with dual energy mammography: An experimental feasibility study
    • Ducote JL andMolloi S (2010). Quantification of breast density with dual energy mammography: an experimental feasibility study. Med Phys 37(2), 793-801.
    • (2010) Med Phys , vol.37 , Issue.2 , pp. 793-801
    • Ducote, J.L.1    Molloi, S.2
  • 80
    • 79953095210 scopus 로고    scopus 로고
    • Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii
    • Maskarinec G, Morimoto Y, Daida Y, Laidevant A, Malkov S, Shepherd JA, and Novotny R (2011). Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii. Cancer Epidemiol 35(2), 188-193.
    • (2011) Cancer Epidemiol , vol.35 , Issue.2 , pp. 188-193
    • Maskarinec, G.1    Morimoto, Y.2    Daida, Y.3    Laidevant, A.4    Malkov, S.5    Shepherd, J.A.6    Novotny, R.7
  • 84
    • 84870886844 scopus 로고    scopus 로고
    • Dedicated breast CT: Fibroglandular volume measurements in a diagnostic population
    • Vedantham S, Shi L, Karellas A, and O'Connell AM (2012). Dedicated breast CT: fibroglandular volume measurements in a diagnostic population. Med Phys 39(12), 7317-7328.
    • (2012) Med Phys , vol.39 , Issue.12 , pp. 7317-7328
    • Vedantham, S.1    Shi, L.2    Karellas, A.3    O'Connell, A.M.4
  • 85
    • 66749086452 scopus 로고    scopus 로고
    • Breast density measurement: 3D cone beam computed tomography (CBCT) images versus 2D digital mammograms
    • Han T, Lai CJ, Chen LG, Liu XM, Shen YT, Zhong YC, Ge SP, Yi Y, Wang TP, and Yang WT, et al (2009). Breast density measurement: 3D cone beam computed tomography (CBCT) images versus 2D digital mammograms. Proc SPIE 7258, 72580L-72581L.
    • (2009) Proc SPIE , vol.7258 , pp. 72580L-72581L
    • Han, T.1    Lai, C.J.2    Chen, L.G.3    Liu, X.M.4    Shen, Y.T.5    Zhong, Y.C.6    Ge, S.P.7    Yi, Y.8    Wang, T.P.9    Yang, W.T.10
  • 86
    • 62449327057 scopus 로고    scopus 로고
    • Estimation of mammographic density on an interval scale by transillumination breast spectroscopy
    • Blackmore KM, Dick S, Knight J, and Lilge L (2008). Estimation of mammographic density on an interval scale by transillumination breast spectroscopy. J Biomed Opt 13(6), 064030.
    • (2008) J Biomed Opt , vol.13 , Issue.6
    • Blackmore, K.M.1    Dick, S.2    Knight, J.3    Lilge, L.4
  • 89
    • 34548319074 scopus 로고    scopus 로고
    • Assessing breast tissue density by transillumination breast spectroscopy (TIBS): An intermediate indicator of cancer risk
    • Blackmore KM, Knight JA, Jong R, and Lilge L (2007). Assessing breast tissue density by transillumination breast spectroscopy (TIBS): an intermediate indicator of cancer risk. Br J Radiol 80(955), 545-556.
    • (2007) Br J Radiol , vol.80 , Issue.955 , pp. 545-556
    • Blackmore, K.M.1    Knight, J.A.2    Jong, R.3    Lilge, L.4
  • 90
    • 52649158790 scopus 로고    scopus 로고
    • Association between transillumination breast spectroscopy and quantitative mammographic features of the breast
    • Blackmore KM, Knight JA, and Lilge L (2008). Association between transillumination breast spectroscopy and quantitative mammographic features of the breast. Cancer Epidemiol Biomarkers Prev 17(5), 1043-1050.
    • (2008) Cancer Epidemiol Biomarkers Prev , vol.17 , Issue.5 , pp. 1043-1050
    • Blackmore, K.M.1    Knight, J.A.2    Lilge, L.3
  • 91
    • 50449083179 scopus 로고    scopus 로고
    • Volumetric breast density evaluation from ultrasound tomography images
    • Glide-Hurst CK, Duric N, and Littrup P (2008). Volumetric breast density evaluation from ultrasound tomography images. Med Phys 35(9), 3988-3997.
    • (2008) Med Phys , vol.35 , Issue.9 , pp. 3988-3997
    • Glide-Hurst, C.K.1    Duric, N.2    Littrup, P.3
  • 92
    • 33846634591 scopus 로고    scopus 로고
    • Novel approach to evaluating breast density utilizing ultrasound tomography
    • Glide C, Duric N, and Littrup P (2007). Novel approach to evaluating breast density utilizing ultrasound tomography. Med Phys 34(2), 744-753.
    • (2007) Med Phys , vol.34 , Issue.2 , pp. 744-753
    • Glide, C.1    Duric, N.2    Littrup, P.3
  • 94
    • 78650864448 scopus 로고    scopus 로고
    • Comparative study of density analysis using automated whole breast ultrasound and MRI
    • Moon WK, Shen YW, Huang CS, Luo SC, Kuzucan A, Chen JH, and Chang RF (2011). Comparative study of density analysis using automated whole breast ultrasound and MRI. Med Phys 38(1), 382-389.
    • (2011) Med Phys , vol.38 , Issue.1 , pp. 382-389
    • Moon, W.K.1    Shen, Y.W.2    Huang, C.S.3    Luo, S.C.4    Kuzucan, A.5    Chen, J.H.6    Chang, R.F.7
  • 95
    • 84874660425 scopus 로고    scopus 로고
    • Comparative estimation of percentage breast tissue density for digital mammography, digital breast tomosynthesis, and magnetic resonance imaging
    • Tagliafico A, Tagliafico G, Astengo D, Airaldi S, Calabrese M, and Houssami N (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.
    • (2013) Breast Cancer Res Treat , vol.138 , pp. 311-317
    • Tagliafico, A.1    Tagliafico, G.2    Astengo, D.3    Airaldi, S.4    Calabrese, M.5    Houssami, N.6
  • 96
    • 84886711668 scopus 로고    scopus 로고
    • Estimation of percentage breast tissue density: Comparison between digital mammography (2D full field digital mammography) and digital breast tomosynthesis according to different BI-RADS categories
    • Tagliafico AS, Tagliafico G, Cavagnetto F, Calabrese M, and Houssami N (2013). Estimation of percentage breast tissue density: comparison between digital mammography (2D full field digital mammography) and digital breast tomosynthesis according to different BI-RADS categories. Br J Radiol 86(1031), 20130255.
    • (2013) Br J Radiol , vol.86 , Issue.1031
    • Tagliafico, A.S.1    Tagliafico, G.2    Cavagnetto, F.3    Calabrese, M.4    Houssami, N.5
  • 98
    • 84905587542 scopus 로고    scopus 로고
    • Comparison of volumetric breast density estimations from mammography and thorax CT
    • Geeraert N, Klausz R, Cockmartin L, Muller S, Bosmans H, and Bloch I (2014). Comparison of volumetric breast density estimations from mammography and thorax CT. Phys Med Biol 59(15), 4391-4409.
    • (2014) Phys Med Biol , vol.59 , Issue.15 , pp. 4391-4409
    • Geeraert, N.1    Klausz, R.2    Cockmartin, L.3    Muller, S.4    Bosmans, H.5    Bloch, I.6
  • 101
    • 4444224056 scopus 로고    scopus 로고
    • Non-ionizing near infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk
    • Simick M, Jong R, Wilson B, and Lilge L (2004). Non-ionizing near infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk. J Biomed Opt 9, 794-803.
    • (2004) J Biomed Opt , vol.9 , pp. 794-803
    • Simick, M.1    Jong, R.2    Wilson, B.3    Lilge, L.4
  • 102
    • 3042594468 scopus 로고    scopus 로고
    • Classification of breast tissue density by optical transillumination spectroscopy: Optical and physiological effects governing predictive value
    • Blyschak K, Simick M, Jong R, and Lilge L (2004). Classification of breast tissue density by optical transillumination spectroscopy: optical and physiological effects governing predictive value. Med Phys 31, 1398-1414.
    • (2004) Med Phys , vol.31 , pp. 1398-1414
    • Blyschak, K.1    Simick, M.2    Jong, R.3    Lilge, L.4
  • 104
    • 69949083493 scopus 로고    scopus 로고
    • Seven-wavelength time-resolved optical mammography extending beyond 1000 nm for breast collagen quantification
    • Taroni P, Pifferi A, Salvagnini E, Spinelli L, Torricelli A, and Cubeddu R (2009). Seven-wavelength time-resolved optical mammography extending beyond 1000 nm for breast collagen quantification. Opt Express 17(18), 15932-15946.
    • (2009) Opt Express , vol.17 , Issue.18 , pp. 15932-15946
    • Taroni, P.1    Pifferi, A.2    Salvagnini, E.3    Spinelli, L.4    Torricelli, A.5    Cubeddu, R.6
  • 105
    • 75749152099 scopus 로고    scopus 로고
    • Optical spectroscopy of the breast in premenopausal women reveals tissue variation with changes in age and parity
    • Knight JA, Blackmore KM, Wong J, Tharmalingam S, and Lilge L (2010). Optical spectroscopy of the breast in premenopausal women reveals tissue variation with changes in age and parity. Med Phys 37(2), 419-426.
    • (2010) Med Phys , vol.37 , Issue.2 , pp. 419-426
    • Knight, J.A.1    Blackmore, K.M.2    Wong, J.3    Tharmalingam, S.4    Lilge, L.5
  • 106
    • 28044461284 scopus 로고    scopus 로고
    • Optical transillumination spectroscopy to quantify parenchymal tissue density: An indicator for breast cancer risk
    • Simick MK and Lilge L (2005). Optical transillumination spectroscopy to quantify parenchymal tissue density: an indicator for breast cancer risk. Br J Radiol 78(935), 1009-1017.
    • (2005) Br J Radiol , vol.78 , Issue.935 , pp. 1009-1017
    • Simick, M.K.1    Lilge, L.2
  • 107
    • 0000411986 scopus 로고    scopus 로고
    • Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy
    • Pham TH, Coquoz O, Fishkin JB, Anderson E, and Tromberg BJ (2000). Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy. Rev Sci Instrum 71, 2500-2513.
    • (2000) Rev Sci Instrum , vol.71 , pp. 2500-2513
    • Pham, T.H.1    Coquoz, O.2    Fishkin, J.B.3    Anderson, E.4    Tromberg, B.J.5
  • 108
    • 0001575656 scopus 로고    scopus 로고
    • Broadband absorption spectroscopy in turbid media by combined frequencydomain and steady state methods
    • Bevilacqua F, Berger AJ, Cerussi AE, Jakubowski D, and Tromberg BJ (2000). Broadband absorption spectroscopy in turbid media by combined frequencydomain and steady state methods. Appl Opt 39, 6498-6507.
    • (2000) Appl Opt , vol.39 , pp. 6498-6507
    • Bevilacqua, F.1    Berger, A.J.2    Cerussi, A.E.3    Jakubowski, D.4    Tromberg, B.J.5
  • 109
    • 1642586997 scopus 로고    scopus 로고
    • Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: A case study
    • Jakubowski DB, Cerussi AE, Bevilacqua F, Shah N, Hsiang D, Butler J, and Tromberg BJ (2004). Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study. J Biomed Opt 9, 230-238.
    • (2004) J Biomed Opt , vol.9 , pp. 230-238
    • Jakubowski, D.B.1    Cerussi, A.E.2    Bevilacqua, F.3    Shah, N.4    Hsiang, D.5    Butler, J.6    Tromberg, B.J.7
  • 112
    • 2942700294 scopus 로고    scopus 로고
    • Spatial variations in optical and physiological properties of healthy breast tissue
    • Shah N, Cerussi AE, Jakubowski D, Hsiang D, Butler J, and Tromberg BJ (2004). Spatial variations in optical and physiological properties of healthy breast tissue. J Biomed Opt 9(3), 534-540.
    • (2004) J Biomed Opt , vol.9 , Issue.3 , pp. 534-540
    • Shah, N.1    Cerussi, A.E.2    Jakubowski, D.3    Hsiang, D.4    Butler, J.5    Tromberg, B.J.6
  • 113
    • 75349088884 scopus 로고    scopus 로고
    • Characterization of metabolic differences between benign and malignant tumors: High-spectral-resolution diffuse optical spectroscopy
    • Kukreti S, Cerussi AE, Tanamai W, Hsiang D, Tromberg BJ, and Gratton E (2010). Characterization of metabolic differences between benign and malignant tumors: high-spectral-resolution diffuse optical spectroscopy. Radiology 254(1), 277-284.
    • (2010) Radiology , vol.254 , Issue.1 , pp. 277-284
    • Kukreti, S.1    Cerussi, A.E.2    Tanamai, W.3    Hsiang, D.4    Tromberg, B.J.5    Gratton, E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.