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Volumn 42, Issue 5, 2015, Pages 1421-1430

Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis

Author keywords

axillary lymph node metastases; breast cancer; estrogen receptor; habitats; magnetic resonance imaging; textural kinetics

Indexed keywords

GADOLINIUM; CONTRAST MEDIUM; ESTROGEN RECEPTOR;

EID: 84945446032     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24921     Document Type: Article
Times cited : (45)

References (54)
  • 1
    • 84874213037 scopus 로고    scopus 로고
    • Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice?
    • Davnall F, Yip CS, Ljungqvist G, et al., Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 2012; 3: 573-589.
    • (2012) Insights Imaging , vol.3 , pp. 573-589
    • Davnall, F.1    Yip, C.S.2    Ljungqvist, G.3
  • 2
    • 0342887306 scopus 로고    scopus 로고
    • Genetic heterogeneity and clonal evolution underlying development of asynchronous metastasis in human breast cancer
    • Kuukasjärvi T, Karhu R, Tanner M, et al., Genetic heterogeneity and clonal evolution underlying development of asynchronous metastasis in human breast cancer. Cancer Res 1997; 57: 1597-1604.
    • (1997) Cancer Res , vol.57 , pp. 1597-1604
    • Kuukasjärvi, T.1    Karhu, R.2    Tanner, M.3
  • 3
    • 84902455541 scopus 로고    scopus 로고
    • Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: Preliminary results
    • Zhou M, Hall L, Goldgof D, et al., Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results, Transl Oncol 2014; 7: 5-13.
    • (2014) Transl Oncol , vol.7 , pp. 5-13
    • Zhou, M.1    Hall, L.2    Goldgof, D.3
  • 4
    • 84863393080 scopus 로고    scopus 로고
    • Intratumor heterogeneity and branched evolution revealed by multiregion sequencing
    • Gerlinger M, Rowan AJ, Horswell S, et al., Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 2012; 366: 883-892.
    • (2012) N Engl J Med , vol.366 , pp. 883-892
    • Gerlinger, M.1    Rowan, A.J.2    Horswell, S.3
  • 5
    • 84867121875 scopus 로고    scopus 로고
    • Intratumor heterogeneity: Evolution through space and time
    • Swanton C,. Intratumor heterogeneity: evolution through space and time. Cancer Res 2012; 72: 4875-4882.
    • (2012) Cancer Res , vol.72 , pp. 4875-4882
    • Swanton, C.1
  • 6
    • 84867082692 scopus 로고    scopus 로고
    • Breast cancer intratumor genetic heterogeneity: Causes and implications
    • Ng CK, Pemberton HN, Reis-Filho JS,. Breast cancer intratumor genetic heterogeneity: causes and implications. Expert Rev Anticancer Ther 2012; 12: 1021-1032.
    • (2012) Expert Rev Anticancer Ther , vol.12 , pp. 1021-1032
    • Ng, C.K.1    Pemberton, H.N.2    Reis-Filho, J.S.3
  • 7
    • 84899530776 scopus 로고    scopus 로고
    • Relationship between tumor heterogeneity measured on fdg-pet/ct and pathological prognostic factors in invasive breast cancer
    • Soussan M, Orlhac F, Boubaya M, et al., Relationship between tumor heterogeneity measured on fdg-pet/ct and pathological prognostic factors in invasive breast cancer. PloS one 2014; 9: e94017.
    • (2014) PloS One , vol.9 , pp. e94017
    • Soussan, M.1    Orlhac, F.2    Boubaya, M.3
  • 8
    • 70349969478 scopus 로고    scopus 로고
    • Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution
    • Shah SP, Morin RD, Khattra J, et al., Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution. Nature 2009; 461: 809-813.
    • (2009) Nature , vol.461 , pp. 809-813
    • Shah, S.P.1    Morin, R.D.2    Khattra, J.3
  • 9
    • 84866746710 scopus 로고    scopus 로고
    • Functional heterogeneity within the cd44 high human breast cancer stem cell-like compartment reveals a gene signature predictive of distant metastasis
    • Leth-Larsen R, Terp MG, Christensen AG, et al., Functional heterogeneity within the cd44 high human breast cancer stem cell-like compartment reveals a gene signature predictive of distant metastasis. Mol Med 2012; 18: 1109-1121.
    • (2012) Mol Med , vol.18 , pp. 1109-1121
    • Leth-Larsen, R.1    Terp, M.G.2    Christensen, A.G.3
  • 11
    • 84885937984 scopus 로고    scopus 로고
    • Heterogeneity wavelet kinetics from DCE-MRI for classifying gene expression based breast cancer recurrence risk
    • Berlin: Springer
    • Mahrooghy M, Ashraf AB, Daye D, et al., Heterogeneity wavelet kinetics from DCE-MRI for classifying gene expression based breast cancer recurrence risk. In: Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013; Berlin: Springer. p 295-302.
    • (2013) Medical Image Computing and Computer-Assisted Intervention-MICCAI , pp. 295-302
    • Mahrooghy, M.1    Ashraf, A.B.2    Daye, D.3
  • 12
    • 79959326227 scopus 로고    scopus 로고
    • Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: A review
    • Yang X, Knopp MV,. Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review. J Biomed Biotechnol. 2011: 732-848.
    • (2011) J Biomed Biotechnol. , pp. 732-848
    • Yang, X.1    Knopp, M.V.2
  • 13
    • 36348986747 scopus 로고    scopus 로고
    • Newstead GM. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images
    • Chen W, Giger ML, Li H, Bick U, Newstead GM. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn Reson Med 2007; 58: 562-571.
    • (2007) Magn Reson Med , vol.58 , pp. 562-571
    • Chen, W.1    Giger, M.L.2    Li, H.3    Bick, U.4
  • 15
    • 49349108623 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu N,. A threshold selection method from gray-level histograms. Automatica 1975; 11: 285-296: 23-27.
    • (1975) Automatica , vol.11 , Issue.285-296 , pp. 23-27
    • Otsu, N.1
  • 16
    • 84923925566 scopus 로고    scopus 로고
    • Image processing, analysis, and machine vision
    • [Epub ahead of print].
    • Sonka M, Hlavac V, Boyle R,. Image processing, analysis, and machine vision, Cengage Learn 2014 [Epub ahead of print].
    • Cengage Learn 2014
    • Sonka, M.1    Hlavac, V.2    Boyle, R.3
  • 17
    • 77950560786 scopus 로고    scopus 로고
    • Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis
    • Karahaliou A, Vassiou K, Arikidis N, Skiadopoulos S, Kanavou T, Costaridou L,. Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis. Br J Radiol 2014; 83: 296-309.
    • (2014) Br J Radiol , vol.83 , pp. 296-309
    • Karahaliou, A.1    Vassiou, K.2    Arikidis, N.3    Skiadopoulos, S.4    Kanavou, T.5    Costaridou, L.6
  • 18
    • 77956166267 scopus 로고    scopus 로고
    • November 20
    • Uppuluri A,. (November 20, 2008), GLCM texture features. Available at http://www.mathworks.com/matlabcentral/fileexchange/22187-glcm-texture-features.
    • (2008) GLCM Texture Features
    • Uppuluri, A.1
  • 19
    • 0015680481 scopus 로고
    • Textural features for image classification. IEEE Transactions on Systems
    • Haralick R, Shanmugam K, Dinstein I,. Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics 1973; 3: 610-621.
    • (1973) Man and Cybernetics , vol.3 , pp. 610-621
    • Haralick, R.1    Shanmugam, K.2    Dinstein, I.3
  • 20
    • 84905576716 scopus 로고    scopus 로고
    • November 12 Software, Beijing Aeronautical Technology Research Center. Available at -toolbox
    • Wei X,. (November 12, 2007), Gray level run length matrix toolbox v1. 0, Software, Beijing Aeronautical Technology Research Center. Available at http://www.mathworks.com/matlabcentral/fileexchange/17482-gray-level-run-length-matrix -toolbox.
    • (2007) Gray Level Run Length Matrix Toolbox v1. 0
    • Wei, X.1
  • 21
    • 70350632628 scopus 로고    scopus 로고
    • Rotation invariant image description with local binary pattern histogram Fourier features
    • Berlin: Springer
    • Ahonen T, Matas J, He C, Pietikainen M., Rotation invariant image description with local binary pattern histogram Fourier features. In: Image analysis. Berlin: Springer; 2009. p 61-70.
    • (2009) Image Analysis , pp. 61-70
    • Ahonen, T.1    Matas, J.2    He, C.3    Pietikainen, M.4
  • 23
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R, John GH,. Wrappers for feature subset selection. Artif Intel 1997; 97: 273-324.
    • (1997) Artif Intel , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 28
    • 84864758525 scopus 로고    scopus 로고
    • Evaluation: From precision, recall and f-measure to roc, informedness, markedness and correlation
    • Powers DM,. Evaluation: from precision, recall and f-measure to roc, informedness, markedness and correlation. J Machine Learn Technol 2011; 2: 37-63.
    • (2011) J Machine Learn Technol , vol.2 , pp. 37-63
    • Powers, D.M.1
  • 29
    • 0001837838 scopus 로고
    • An informational measure of correlation
    • Linfoot E,. An informational measure of correlation. Inform Control 1957; 1: 85-89.
    • (1957) Inform Control , vol.1 , pp. 85-89
    • Linfoot, E.1
  • 30
    • 84898606298 scopus 로고    scopus 로고
    • The value of t2∗ in differentiating metastatic from benign axillary lymph nodes in patients with breast cancer - A preliminary in vivo study
    • Li C, Meng S, Yang X, Wang J, Hu J,. The value of t2∗ in differentiating metastatic from benign axillary lymph nodes in patients with breast cancer-a preliminary in vivo study. PloS One 2014; 9: e84038.
    • (2014) PloS One , vol.9 , pp. e84038
    • Li, C.1    Meng, S.2    Yang, X.3    Wang, J.4    Hu, J.5
  • 31
    • 77950142743 scopus 로고    scopus 로고
    • Cancerous breast lesions on dynamic contrast-enhanced MR images: Computerized characterization for image-based prognostic markers
    • Bhooshan N, Giger ML, Jansen SA, Li H, Lan L, Newstead GM,. Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology 2010; 254: 680-690.
    • (2010) Radiology , vol.254 , pp. 680-690
    • Bhooshan, N.1    Giger, M.L.2    Jansen, S.A.3    Li, H.4    Lan, L.5    Newstead, G.M.6
  • 32
    • 84859984907 scopus 로고    scopus 로고
    • Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients
    • Tuncbilek N, Tokatli F, Altaner S, et al., Omurlu K, Temizoz O,. Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients. Eur J Radiol 2012; 81: 863-867.
    • (2012) Eur J Radiol , vol.81 , pp. 863-867
    • Tuncbilek, N.1    Tokatli, F.2    Altaner, S.3    Omurlu, K.4    Temizoz, O.5
  • 33
    • 80054742880 scopus 로고    scopus 로고
    • Diffusion-weighted and dynamic contrast-enhanced MRI in evaluation of early treatment effects during neoadjuvant chemotherapy in breast cancer patients
    • Jensen LR, Garzon B, Heldahl MG, et al., Diffusion-weighted and dynamic contrast-enhanced MRI in evaluation of early treatment effects during neoadjuvant chemotherapy in breast cancer patients. J Magn Reson Imaging 2011; 34: 1099-1109.
    • (2011) J Magn Reson Imaging , vol.34 , pp. 1099-1109
    • Jensen, L.R.1    Garzon, B.2    Heldahl, M.G.3
  • 35
    • 33646699573 scopus 로고    scopus 로고
    • Rim enhancement of breast cancers on contrast enhanced MR imaging: Relationship with prognostic factors
    • e al.
    • Jinguji M, Kajiya Y, Kamimura K, e al. Rim enhancement of breast cancers on contrast enhanced MR imaging: relationship with prognostic factors. Breast Cancer 2006; 13: 64-73.
    • (2006) Breast Cancer , vol.13 , pp. 64-73
    • Jinguji, M.1    Kajiya, Y.2    Kamimura, K.3
  • 36
    • 0033692478 scopus 로고    scopus 로고
    • Breast masses with peripheral rim enhancement on dynamic contrast-enhanced MR images: Correlation of MR findings with histologic features and expression of growth factors 1
    • Matsubayashi R, Matsuo Y, Edakuni G, Satoh T, Tokunaga O, Kudo S,. Breast masses with peripheral rim enhancement on dynamic contrast-enhanced MR images: correlation of MR findings with histologic features and expression of growth factors 1. Radiology 2000; 217: 841-848.
    • (2000) Radiology , vol.217 , pp. 841-848
    • Matsubayashi, R.1    Matsuo, Y.2    Edakuni, G.3    Satoh, T.4    Tokunaga, O.5    Kudo, S.6
  • 37
    • 33646136903 scopus 로고    scopus 로고
    • Dynamic MR imaging of breast lesions: Correlation with microvessel distribution pattern and histologic characteristics of prognosis 1
    • Teifke A, Behr O, Schmidt M, et al., Dynamic MR imaging of breast lesions: Correlation with microvessel distribution pattern and histologic characteristics of prognosis 1. Radiology 2006; 239: 351-360.
    • (2006) Radiology , vol.239 , pp. 351-360
    • Teifke, A.1    Behr, O.2    Schmidt, M.3
  • 40
    • 84886249973 scopus 로고    scopus 로고
    • Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer
    • Golden DI, Lipson JA, Telli ML, Ford JM, Rubin DL,. Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer. J Am Med Inform Assoc 2013; 20: 1059-1066.
    • (2013) J Am Med Inform Assoc , vol.20 , pp. 1059-1066
    • Golden, D.I.1    Lipson, J.A.2    Telli, M.L.3    Ford, J.M.4    Rubin, D.L.5
  • 41
    • 41949111860 scopus 로고    scopus 로고
    • Estrogen receptor and breast MR imaging features: A correlation study
    • Chen JH, Baek HM, Nalcioglu O, Su MY,. Estrogen receptor and breast MR imaging features: a correlation study. J Magn Reson Imaging 2008; 27: 825-833.
    • (2008) J Magn Reson Imaging , vol.27 , pp. 825-833
    • Chen, J.H.1    Baek, H.M.2    Nalcioglu, O.3    Su, M.Y.4
  • 42
    • 84878113838 scopus 로고    scopus 로고
    • Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions
    • Milenkovic J, Hertl K, Kosir A, Zibert J, Tasic JF,. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions. Artif Intell Med 2013; 58: 101-114.
    • (2013) Artif Intell Med , vol.58 , pp. 101-114
    • Milenkovic, J.1    Hertl, K.2    Kosir, A.3    Zibert, J.4    Tasic, J.F.5
  • 44
    • 84938150965 scopus 로고    scopus 로고
    • Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction
    • Chaudhury B, Zhou M, Hall LO, et al., Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. In: Press Systems, Man and Cybernetics, 2014.
    • (2014) Press Systems, Man and Cybernetics
    • Chaudhury, B.1    Zhou, M.2    Hall, L.O.3
  • 45
    • 18844386580 scopus 로고    scopus 로고
    • Turnbull LW. Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy
    • Pickles MD Lowry M, Manton DJ, Gibbs P, Turnbull LW. Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat 2005; 91: 1-10.
    • (2005) Breast Cancer Res Treat , vol.91 , pp. 1-10
    • Pickles, M.D.1    Lowry, M.2    Manton, D.J.3    Gibbs, P.4
  • 46
    • 26844544323 scopus 로고    scopus 로고
    • Nattkemper TW. An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data
    • Twellman T, Lichte O, Nattkemper TW. An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data. IEEE Transactions on Medical Imaging; 2004; 24: 1256-1266.
    • (2004) IEEE Transactions on Medical Imaging , vol.24 , pp. 1256-1266
    • Twellman, T.1    Lichte, O.2
  • 50
    • 65349098099 scopus 로고    scopus 로고
    • Model-based and model-free parametric analysis of breast dynamic-contrast-enhanced MRI
    • Eyal E, Degani H,. Model-based and model-free parametric analysis of breast dynamic-contrast-enhanced MRI. NMR Biomed 2009; 22: 40-53.
    • (2009) NMR Biomed , vol.22 , pp. 40-53
    • Eyal, E.1    Degani, H.2
  • 52
    • 84962907664 scopus 로고    scopus 로고
    • Breast magnetic resonance imaging: Kinetic curve assessment
    • Cheng L, Li X,. Breast magnetic resonance imaging: kinetic curve assessment. Gland Surg 2013; 2: 50-53.
    • (2013) Gland Surg , vol.2 , pp. 50-53
    • Cheng, L.1    Li, X.2
  • 53
    • 39149111633 scopus 로고    scopus 로고
    • Preoperative chemotherapy: Updates of National Surgical Adjuvant
    • Rastogi P, Anderson SJ, Bear HD, et al., Preoperative chemotherapy: updates of National Surgical Adjuvant. J Clin Oncol 2008; 26: 778-785.
    • (2008) J Clin Oncol , vol.26 , pp. 778-785
    • Rastogi, P.1    Anderson, S.J.2    Bear, H.D.3
  • 54
    • 79951996080 scopus 로고    scopus 로고
    • Outcome of combined modality treatment including neoadjuvant chemotherapy of 128 cases of locally advanced breast cancer: Data from a tertiary cancer center in northern India
    • Raina V, Kunjahari M, Shukla NK, et al., Outcome of combined modality treatment including neoadjuvant chemotherapy of 128 cases of locally advanced breast cancer: data from a tertiary cancer center in northern India. Indian J Cancer 2011; 48: 80.
    • (2011) Indian J Cancer , vol.48 , pp. 80
    • Raina, V.1    Kunjahari, M.2    Shukla, N.K.3


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