Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion‐weighted MRI at 3.0 Tesla

To investigate correlations between apparent diffusion coefficient (ADC) values of invasive ductal carcinoma (IDC) and pathologic factors on diffusion‐weighted MRI. We measured the ADC values of IDC of the breast and analyzed correlations between ADC values and factors such as tumor size, axillary lymph node status, histologic grade, estrogen receptor, progesterone receptor, and human epithelial growth factor 2 (HER2) using diffusion‐weighted MRI at 3.0 Tesla (T).

[1]  Naoko Mori,et al.  Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters , 2013, European Radiology.

[2]  T. Yoshiura,et al.  Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer. , 2013, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

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

[4]  Katarzyna J Macura,et al.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging. , 2010, Radiology.

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

[6]  T. Helbich,et al.  Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? , 2009, Radiology.

[7]  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.

[8]  Yoshito Tsushima,et al.  Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5‐T , 2009, Journal of magnetic resonance imaging : JMRI.

[9]  Mariko Goto,et al.  Microperfusion‐induced elevation of ADC is suppressed after contrast in breast carcinoma , 2009, Journal of magnetic resonance imaging : JMRI.

[10]  Hiroshi Honda,et al.  Apparent diffusion coefficients of breast tumors: clinical application. , 2008, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[11]  Steven Sourbron,et al.  Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings--preliminary results. , 2008, Radiology.

[12]  S. Partridge.  Future Applications and Innovations of Clinical Breast Magnetic Resonance Imaging , 2008, Topics in magnetic resonance imaging : TMRI.

[13]  Katsuhiro Nasu,et al.  Advances in breast MRI: diffusion-weighted imaging of the breast , 2008, Breast cancer.

[14]  Yutaka Imai,et al.  Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer , 2008, Radiation Medicine.

[15]  W. B. Veldhuis,et al.  Contrast-enhanced 3.0-T breast MRI for characterization of breast lesions: increased specificity by using vascular maps , 2008, European Radiology.

[16]  Hiromu Nishitani,et al.  Comparison of 3.0-and 1.5-tesla diffusion-weighted imaging in the visibility of breast cancer , 2008, Radiation Medicine.

[17]  Bong Joo Kang,et al.  The Role of Diffusion-Weighted Imaging and the Apparent Diffusion Coefficient (ADC) Values for Breast Tumors , 2007, Korean journal of radiology.

[18]  Evelyn Wenkel,et al.  Diffusion weighted imaging in breast MRI: comparison of two different pulse sequences. , 2007, Academic radiology.

[19]  T. Mochizuki,et al.  Comparison of breast cancer detection by diffusion-weighted magnetic resonance imaging and mammography , 2007, Radiation Medicine.

[20]  D. Collins,et al.  Diffusion-weighted MRI in the body: applications and challenges in oncology. , 2007, AJR. American journal of roentgenology.

[21]  Y. Sagara,et al.  Expression of estrogen receptor alpha and progesterone receptor in normal human breast epithelium. , 2007, In vivo.

[22]  A. Cilotti,et al.  Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion , 2007, European Radiology.

[23]  Thomas E Yankeelov,et al.  Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. , 2007, Magnetic resonance imaging.

[24]  Masahiko Watanabe,et al.  Diffusion-Weighted Imaging of Malignant Breast Tumors: The Usefulness of Apparent Diffusion Coefficient (ADC) Value and ADC Map for the Detection of Malignant Breast Tumors and Evaluation of Cancer Extension , 2005, Journal of computer assisted tomography.

[25]  Masanori Ozaki,et al.  ADC mapping of benign and malignant breast tumors. , 2005, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[26]  C. Boesch,et al.  Diffusion‐weighted imaging of the parotid gland: Influence of the choice of b‐values on the apparent diffusion coefficient value , 2004, Journal of magnetic resonance imaging : JMRI.

[27]  I. Bauerfeind,et al.  Association between HER-2/neu and Vascular Endothelial Growth Factor Expression Predicts Clinical Outcome in Primary Breast Cancer Patients , 2004, Clinical Cancer Research.

[28]  R. Bammer.  Basic principles of diffusion-weighted imaging. , 2003, European journal of radiology.

[29]  Gottfried Konecny,et al.  Quantitative association between HER-2/neu and steroid hormone receptors in hormone receptor-positive primary breast cancer. , 2003, Journal of the National Cancer Institute.

[30]  Naobumi Yashiro,et al.  Diffusion-Weighted Half-Fourier Single-Shot Turbo Spin Echo Imaging in Breast Tumors: Differentiation of Invasive Ductal Carcinoma from Fibroadenoma , 2002, Journal of computer assisted tomography.

[31]  Ning-Yu An,et al.  Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging , 2002, Journal of magnetic resonance imaging : JMRI.

[32]  Usha Sinha,et al.  In vivo diffusion‐weighted MRI of the breast: Potential for lesion characterization , 2002, Journal of magnetic resonance imaging : JMRI.

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

[34]  S G Hilsenbeck,et al.  Significance of axillary lymph node metastasis in primary breast cancer. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[35]  I. Ellis,et al.  Pathological prognostic factors in breast cancer. , 1999, Critical reviews in oncology/hematology.

[36]  N. Goldstein,et al.  Neutralizing antibodies against epidermal growth factor and ErbB-2/neu receptor tyrosine kinases down-regulate vascular endothelial growth factor production by tumor cells in vitro and in vivo: angiogenic implications for signal transduction therapy of solid tumors. , 1997, The American journal of pathology.

[37]  L D Buadu,et al.  Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. , 1996, Radiology.

[38]  D M Shames,et al.  Mammary carcinoma model: correlation of macromolecular contrast-enhanced MR imaging characterizations of tumor microvasculature and histologic capillary density. , 1996, Radiology.

[39]  H. Dvorak,et al.  Vascular permeability factor/vascular endothelial growth factor, microvascular hyperpermeability, and angiogenesis. , 1995, The American journal of pathology.

[40]  I. Ellis,et al.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. , 2002, Histopathology.

[41]  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.

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