Perfusion Parameters in Dynamic Contrast-enhanced MRI and Apparent Diffusion Coefficient Value in Diffusion-weighted MRI:: Association with Prognostic Factors in Breast Cancer.

[1]  R. Grimm,et al.  Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma , 2015, Journal of magnetic resonance imaging : JMRI.

[2]  S. Hahn,et al.  Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion‐weighted MRI at 3.0 Tesla , 2015, Journal of magnetic resonance imaging : JMRI.

[3]  B. Kang,et al.  Enhancement parameters on dynamic contrast enhanced breast MRI: do they correlate with prognostic factors and subtypes of breast cancers? , 2015, Magnetic resonance imaging.

[4]  D. Berney,et al.  Diffusion-weighted and multiphase contrast-enhanced MRI as surrogate markers of response to neoadjuvant sunitinib in metastatic renal cell carcinoma , 2013, British Journal of Cancer.

[5]  C. Perou,et al.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013 , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

[6]  W. Moon,et al.  Correlation of perfusion parameters on dynamic contrast‐enhanced MRI with prognostic factors and subtypes of breast cancers , 2012, Journal of magnetic resonance imaging : JMRI.

[7]  R. Ponzone,et al.  Correlations between diffusion-weighted imaging and breast cancer biomarkers , 2012, European Radiology.

[8]  D. Collins,et al.  Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients. , 2011, Radiology.

[9]  A. Razek,et al.  Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors , 2010, NMR in biomedicine.

[10]  B. Kang,et al.  Diffusion‐weighted imaging of breast cancer: Correlation of the apparent diffusion coefficient value with prognostic factors , 2009, Journal of magnetic resonance imaging : JMRI.

[11]  L. Turnbull,et al.  Prognostic value of pre-treatment DCE-MRI parameters in predicting disease free and overall survival for breast cancer patients undergoing neoadjuvant chemotherapy. , 2009, European journal of radiology.

[12]  Charles M. Perou,et al.  Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer , 2009, Journal of the National Cancer Institute.

[13]  D J Collins,et al.  Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis , 2006, Physics in medicine and biology.

[14]  R. Gelber,et al.  Meeting highlights: international expert consensus on the primary therapy of early breast cancer 2005. , 2005, Annals of oncology : official journal of the European Society for Medical Oncology.

[15]  Geoffrey J. M. Parker,et al.  Tracer Kinetic Modelling for T1-Weighted DCE-MRI , 2005 .

[16]  M. Tonato,et al.  Evaluation of the Prognostic Role of Vascular Endothelial Growth Factor and Microvessel Density in Stages I and II Breast Cancer Patients , 2003, Breast Cancer Research and Treatment.

[17]  Orhan Nalcioglu,et al.  Correlation of dynamic contrast enhancement MRI parameters with microvessel density and VEGF for assessment of angiogenesis in breast cancer , 2003, Journal of magnetic resonance imaging : JMRI.

[18]  R. Kumar,et al.  The role of HER2 in angiogenesis. , 2001, Seminars in oncology.

[19]  P. Carmeliet,et al.  Angiogenesis in cancer and other diseases , 2000, Nature.

[20]  M. Knopp,et al.  Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.

[21]  N. Weidner Intratumor microvessel density as a prognostic factor in cancer. , 1995, The American journal of pathology.

[22]  H. Dvorak,et al.  Identification and characterization of the blood vessels of solid tumors that are leaky to circulating macromolecules. , 1988, The American journal of pathology.

[23]  D. Le Bihan,et al.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.

[24]  R. Prescott,et al.  Tumour cellularity, oestrogen receptors and prognosis in breast cancer. , 1983, Clinical oncology.

[25]  W. McGuire,et al.  Specific progesterone receptors in human breast cancer , 1975, Steroids.