Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumour aggressiveness.

[1]  G. Torre,et al.  Diffusion-weighted imaging in breast lesion evaluation , 2010, La radiologia medica.

[2]  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.

[3]  F. Carvalho,et al.  Coordinated expression of ER, PR and HER2 define different prognostic subtypes among poorly differentiated breast carcinomas , 2009, Histopathology.

[4]  W. Gradishar,et al.  New Molecular Classifications of Breast Cancer , 2009, CA: a cancer journal for clinicians.

[5]  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.

[6]  Katsuhiro Nasu,et al.  Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathologic grade. , 2009, AJR. American journal of roentgenology.

[7]  Alissa M. Weaver,et al.  Regulation of cancer invasiveness by the physical extracellular matrix environment , 2009, Cell adhesion & migration.

[8]  A. Onitilo,et al.  Breast Cancer Subtypes Based on ER/PR and Her2 Expression: Comparison of Clinicopathologic Features and Survival , 2009, Clinical Medicine & Research.

[9]  F. Akiyama,et al.  Therapeutic strategies for breast cancer based on histological type , 2009, Breast cancer.

[10]  John C Gore,et al.  Sensitivity of MR diffusion measurements to variations in intracellular structure: Effects of nuclear size , 2009, Magnetic resonance in medicine.

[11]  H. R. Arvinda,et al.  RETRACTED ARTICLE: Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging , 2009, Journal of Neuro-Oncology.

[12]  Samuel Leung,et al.  Redefining prognostic factors for breast cancer: YB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtypes , 2008, Breast Cancer Research.

[13]  J. Peterse,et al.  Refinement of breast cancer classification by molecular characterization of histological special types , 2008, The Journal of pathology.

[14]  Gianluca Bontempi,et al.  Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes , 2008, Clinical Cancer Research.

[15]  L. Esserman,et al.  Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging. , 2008, Radiology.

[16]  Ian O Ellis,et al.  Prognostic significance of Nottingham histologic grade in invasive breast carcinoma. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[17]  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.

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

[19]  A Radjenovic,et al.  Measurement of pharmacokinetic parameters in histologically graded invasive breast tumours using dynamic contrast-enhanced MRI. , 2008, The British journal of radiology.

[20]  P. Lichter,et al.  Stem Cell Marker CD133 Affects Clinical Outcome in Glioma Patients , 2008, Clinical Cancer Research.

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

[22]  Constantine Katsinis,et al.  Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer , 2006, BMC Medical Imaging.

[23]  Thierry Metens,et al.  Quantitative diffusion imaging in breast cancer: A clinical prospective study , 2006, Journal of magnetic resonance imaging : JMRI.

[24]  S. F. Carbone,et al.  Magnetic resonance diffusion–weighted imaging: extraneurological applications , 2006, La radiologia medica.

[25]  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.

[26]  R. Walker,et al.  World Health Organization Classification of Tumours. Pathology and Genetics of Tumours of the Breast and Female Genital Organs , 2005 .

[27]  N. Tunçbilek,et al.  Dynamic magnetic resonance imaging in determining histopathological prognostic factors of invasive breast cancers. , 2005, European journal of radiology.

[28]  Shigeru Nawano,et al.  Diffusion-weighted imaging of breast cancer with the sensitivity encoding technique: analysis of the apparent diffusion coefficient value. , 2004, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[29]  M. Ladekarl Choice of methodology for quantifying cancer structures in tissue sections. A comparison of 2- and 3-dimensional estimators of mitotic activity, cellularity and nuclear size in breast cancer. , 2004, Analytical and quantitative cytology and histology.

[30]  Tibor Tot,et al.  Invasive breast cancer: correlation of dynamic MR features with prognostic factors , 2003, European Radiology.

[31]  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.

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

[33]  L. Holmberg,et al.  Ductal Carcinoma in Situ of the Breast: a New Phenotype Classification System and its Relation to Prognosis , 2002, Breast Cancer Research and Treatment.

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

[35]  A. Leong,et al.  Biologic markers in ductal carcinoma in situ and concurrent infiltrating carcinoma. A comparison of eight contemporary grading systems. , 2001, American journal of clinical pathology.

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

[37]  S G Orel,et al.  High-resolution MR imaging for the detection, diagnosis, and staging of breast cancer. , 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

[38]  P Aspelin,et al.  Contrast-enhanced MR imaging as a prognostic indicator of breast cancer , 1998, Acta radiologica.

[39]  A Horsman,et al.  Dynamic MR imaging of invasive breast cancer: correlation with tumour grade and other histological factors. , 1997, The British journal of radiology.

[40]  W. L. McGuire,et al.  Breast cancer prognostic factors: evaluation guidelines. , 1991, Journal of the National Cancer Institute.

[41]  I. Gareen,et al.  Prognosis in Infiltrating Lobular Carcinoma: An Analysis of “Classical” and Variant Tumors , 1990, The American journal of surgical pathology.

[42]  J. Azzopardi,et al.  Invasive lobular carcinoma of the breast: incidence and variants , 1979, Histopathology.

[43]  H. Sommer,et al.  Survival analysis between patients with invasive ductal and invasive lobular breast cancer , 2008, Archives of Gynecology and Obstetrics.

[44]  L. Liberman,et al.  Imaging breast cancer. , 2007, Radiologic clinics of North America.

[45]  Woo Kyung Moon,et al.  Index terms: Breast neoplasms Breast, MR , 2006 .

[46]  Megumi Jinguji,et al.  Rim enhancement of breast cancers on contrast-enhanced MR imaging: Relationship with prognostic factors , 2006, Breast cancer.

[47]  Elston Cw Classification and grading of invasive breast carcinoma. , 2005 .

[48]  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.

[49]  Peter Devilee,et al.  Pathology and Genetics of Tumours of the Breast and Female Genital Organs , 2003 .

[50]  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.

[51]  Cdm Fletcher,et al.  World Health Organization Classification of Tumours , 2002 .

[52]  C. Kuhl,et al.  MRI of breast tumors , 2000, European Radiology.