Gadoterate meglumine decreases ADC values of breast lesions depending on the b value combination

[1]  P. Baltzer,et al.  MR Imaging for Diagnosis of Malignancy in Mammographic Microcalcifications: A Systematic Review and Meta-Analysis. , 2017, Radiology.

[2]  P. Baltzer,et al.  Diagnostic Performance of Breast Magnetic Resonance Imaging in Non-Calcified Equivocal Breast Findings: Results from a Systematic Review and Meta-Analysis , 2016, PloS one.

[3]  Li Zhang,et al.  Accuracy of combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging for breast cancer detection: a meta-analysis , 2016, Acta radiologica.

[4]  T. Bathen,et al.  A Simplified Approach to Measure the Effect of the Microvasculature in Diffusion-weighted MR Imaging Applied to Breast Tumors: Preliminary Results. , 2016, Radiology.

[5]  M. Könönen,et al.  Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity , 2016, European Radiology.

[6]  Azim Celik,et al.  Effect of imaging parameters on the accuracy of apparent diffusion coefficient and optimization strategies. , 2015, Diagnostic and interventional radiology.

[7]  Amro Masarwah,et al.  Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest , 2015, PloS one.

[8]  Savannah C Partridge,et al.  Diffusion‐weighted imaging: Effects of intravascular contrast agents on apparent diffusion coefficient measures of breast malignancies at 3 tesla , 2015, Journal of magnetic resonance imaging : JMRI.

[9]  E. Wenkel,et al.  Diffusion-Weighted MR Imaging of Benign and Malignant Breast Lesions Before and After Contrast Enhancement , 2013, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

[10]  Oliver Geier,et al.  Quantitative analysis of diffusion-weighted magnetic resonance imaging in malignant breast lesions using different b value combinations , 2012, European Radiology.

[11]  H J Kim,et al.  Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. , 2012, The British journal of radiology.

[12]  C. Iacconi Diffusion and perfusion of the breast. , 2010, European journal of radiology.

[13]  L. Bonomo,et al.  Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumour aggressiveness. , 2010, Clinical radiology.

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

[15]  R. Mulkern,et al.  Comment on ADC reductions in postcontrast breast tumors , 2010, Journal of magnetic resonance imaging : JMRI.

[16]  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.

[17]  Fernanda Philadelpho Arantes Pereira,et al.  Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values. , 2009, AJR. American journal of roentgenology.

[18]  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.

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

[20]  P. Choyke,et al.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.

[21]  U. Sharma,et al.  Longitudinal study of the assessment by MRI and diffusion‐weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy , 2009, NMR in biomedicine.

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

[23]  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.

[24]  D. Vanel The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language? , 2007, European journal of radiology.

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

[26]  A. Fırat,et al.  The effect of intravenous gadolinium-DTPA on diffusion-weighted imaging , 2006, Neuroradiology.

[27]  J. Mintorovitch,et al.  Comparison of Magnetic Properties of MRI Contrast Media Solutions at Different Magnetic Field Strengths , 2005, Investigative radiology.

[28]  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.

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

[30]  M. Van Cauteren,et al.  Effect of Intravenous Gadolinium-DTPA on Diffusion-Weighted Images: Evaluation of Normal Brain and Infarcts , 2002, Stroke.

[31]  J. Gore,et al.  In vivo measurement of ADC change due to intravascular susceptibility variation , 1999, Magnetic resonance in medicine.

[32]  John C. Gore,et al.  Effects of susceptibility variations on NMR measurements of diffusion , 1991 .

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

[34]  Akio Ogura,et al.  Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging. , 2011, European journal of radiology.