Diffusion-weighted imaging of the breast: principles and clinical applications.

Diffusion-weighted imaging provides a novel contrast mechanism in magnetic resonance (MR) imaging and has a high sensitivity in the detection of changes in the local biologic environment. A significant advantage of diffusion-weighted MR imaging over conventional contrast material-enhanced MR imaging is its high sensitivity to change in the microscopic cellular environment without the need for intravenous contrast material injection. Approaches to the assessment of diffusion-weighted breast imaging findings include assessment of these data alone and interpretation of the data in conjunction with T2-weighted imaging findings. In addition, the analysis of apparent diffusion coefficient (ADC) value can be undertaken either in isolation or in combination with diffusion-weighted and T2-weighted imaging. Most previous studies have evaluated ADC value alone; however, overlap in the ADC values of malignant and benign disease has been observed. This overlap may be partly due to selection of b value, which can influence the concomitant effect of perfusion and emphasize the contribution of multicomponent model influences. The simultaneous assessment of diffusion-weighted and T2-weighted imaging data and ADC value has the potential to improve specificity. In addition, the use of diffusion-weighted imaging in a standard breast MR imaging protocol may heighten sensitivity and thereby improve diagnostic accuracy. Standardization of diffusion-weighted imaging parameters is needed to allow comparison of multicenter studies and assessment of the clinical utility of diffusion-weighted imaging and ADC values in breast evaluation.

[1]  S. Kulkarni,et al.  Nonenhancing breast malignancies on MRI: sonographic and pathologic correlation. , 2005, AJR. American journal of roentgenology.

[2]  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.

[3]  R W Bowtell,et al.  In vivo intravoxel incoherent motion measurements in the human placenta using echo‐planar imaging at 0.5 T , 2000, Magnetic resonance in medicine.

[4]  W. Dillon,et al.  Bleed or stroke? Diffusion measurements in intracranial hematomas. , 2000, AJNR. American journal of neuroradiology.

[5]  Wilma van der Riet,et al.  Diffusion-weighted MR imaging with background body signal suppression (DWIBS) for the diagnosis of malignant and benign breast lesions , 2009, European Radiology.

[6]  S. Nawano,et al.  Hepatic metastases: diffusion-weighted sensitivity-encoding versus SPIO-enhanced MR imaging. , 2006, Radiology.

[7]  Stephan E Maier,et al.  Biexponential characterization of prostate tissue water diffusion decay curves over an extended b-factor range. , 2006, Magnetic resonance imaging.

[8]  O Lucidarme,et al.  Nonpalpable breast tumors: diagnosis with contrast-enhanced subtraction dynamic MR imaging. , 1994, Radiology.

[9]  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.

[10]  P. Parizel,et al.  A brief review of parallel magnetic resonance imaging , 2003, European Radiology.

[11]  I. Narabayashi,et al.  Diffusion-weighed MR imaging of pancreatic carcinoma , 2007, Abdominal Imaging.

[12]  M. Oudkerk,et al.  Diffusion‐weighted imaging of normal fibroglandular breast tissue: influence of microperfusion and fat suppression technique on the apparent diffusion coefficient , 2010, NMR in biomedicine.

[13]  A. Rieber,et al.  Breast MRI for monitoring response of primary breast cancer to neo-adjuvant chemotherapy , 2002, European Radiology.

[14]  J. Griffith,et al.  Bone marrow diffusion in osteoporosis: Evaluation with quantitative MR diffusion imaging , 2004, Journal of magnetic resonance imaging : JMRI.

[15]  Hans Stødkilde-Jørgensen,et al.  Intravenous administration of Gd-DTPA prior to DWI does not affect the apparent diffusion constant. , 2005, Magnetic resonance imaging.

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

[17]  Peter Gibbs,et al.  Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. , 2006, Magnetic resonance imaging.

[18]  Victor Ai,et al.  Diffusion-Weighted Magnetic Resonance Imaging of Breast Lesions: First Experiences at 3 T , 2009, Journal of computer assisted tomography.

[19]  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.

[20]  Wendy B DeMartini,et al.  Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size. , 2010, AJR. American journal of roentgenology.

[21]  L. Turnbull,et al.  Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy , 2006, British Journal of Cancer.

[22]  C. Westin,et al.  Multi‐component apparent diffusion coefficients in human brain † , 1999, NMR in biomedicine.

[23]  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.

[24]  Hiroshi Honda,et al.  Enhanced mass on contrast‐enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast‐enhanced and diffusion‐weighted MR images , 2008, Journal of magnetic resonance imaging : JMRI.

[25]  Ying Lu,et al.  MRI Phenotype Is Associated With Response to Doxorubicin and Cyclophosphamide Neoadjuvant Chemotherapy in Stage III Breast Cancer , 2001, Annals of Surgical Oncology.

[26]  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.

[27]  Bradford A Moffat,et al.  Prospective Early Response Imaging Biomarker for Neoadjuvant Breast Cancer Chemotherapy , 2007, Clinical Cancer Research.

[28]  Rachel Brem,et al.  Diffusion imaging of human breast , 1997, NMR in biomedicine.

[29]  Magnetic resonance mammography has limited ability to estimate pathological complete remission after primary chemotherapy or radiofrequency ablation therapy , 2007, Breast cancer.

[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]  S. Atlas,et al.  Diffusion measurements in intracranial hematomas: implications for MR imaging of acute stroke. , 2000, AJNR. American journal of neuroradiology.

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

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

[35]  M. Reiser,et al.  Methods and applications of diffusion imaging of vertebral bone marrow , 2006, Journal of magnetic resonance imaging : JMRI.

[36]  Rebecca S Lewis,et al.  Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. , 2004, Radiology.

[37]  Kunihiko Fukuda,et al.  Usefulness of high-b-value diffusion-weighted imaging in acute cerebral infarction , 2007, European Radiology.

[38]  Matthias Benndorf,et al.  Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions , 2010, European Radiology.

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

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

[41]  C. Boetes,et al.  False-negative MR imaging of malignant breast tumors , 1997, European Radiology.

[42]  M. Tozaki,et al.  1H MR spectroscopy and diffusion-weighted imaging of the breast: are they useful tools for characterizing breast lesions before biopsy? , 2009, AJR. American journal of roentgenology.

[43]  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.

[44]  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.

[45]  S. Nawano,et al.  Comparison of diffusion-weighted images using short inversion time inversion recovery or chemical shift selective pulse as fat suppression in patients with breast cancer , 2009, Japanese Journal of Radiology.

[46]  C. Kuhl,et al.  Sensitivity encoding for diffusion-weighted MR imaging at 3.0 T: intraindividual comparative study. , 2005, Radiology.

[47]  Kuncheng Li,et al.  The role of parallel diffusion-weighted imaging and apparent diffusion coefficient (ADC) map values for evaluating breast lesions: preliminary results. , 2010, Academic radiology.

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

[49]  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.

[50]  P. Grenier,et al.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. , 1986, Radiology.

[51]  G. Liu,et al.  Effect of Intravenous Gadolinium-DTPA on Diffusion-Weighted Magnetic Resonance Images for Evaluation of Focal Hepatic Lesions , 2005, Journal of computer assisted tomography.

[52]  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.

[53]  I. Yamada,et al.  Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. , 1999, Radiology.

[54]  C S Poon,et al.  Quantitative magnetic resonance imaging parameters and their relationship to mammographic pattern. , 1992, Journal of the National Cancer Institute.

[55]  Daniel B Kopans,et al.  Breast cancer: regional blood flow and blood volume measured with magnetic susceptibility-based MR imaging--initial results. , 2002, Radiology.

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

[57]  Daniel B Kopans,et al.  Physiologic Changes in Breast Magnetic Resonance Imaging during the Menstrual Cycle: Perfusion Imaging, Signal Enhancement, and Influence of the T1 Relaxation Time of Breast Tissue , 2005, The breast journal.

[58]  Shigeru Nawano,et al.  Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging. , 2007, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[59]  Abdominal apparent diffusion coefficient measurements: effect of diffusion-weighted image quality and usefulness of anisotropic images. , 2008, Magnetic resonance imaging.

[60]  H. Hatabu,et al.  Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. , 2009, AJR. American journal of roentgenology.

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

[62]  R. Gillies,et al.  Early increases in breast tumor xenograft water mobility in response to paclitaxel therapy detected by non-invasive diffusion magnetic resonance imaging. , 1999, Neoplasia.

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

[64]  Jason A Koutcher,et al.  Prostate cancer: identification with combined diffusion-weighted MR imaging and 3D 1H MR spectroscopic imaging--correlation with pathologic findings. , 2008, Radiology.

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

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

[67]  Orhan Nalcioglu,et al.  MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy , 2008, Cancer.

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

[69]  S. Gautam,et al.  Identification of residual breast carcinoma following neoadjuvant chemotherapy: diffusion-weighted imaging--comparison with contrast-enhanced MR imaging and pathologic findings. , 2010, Radiology.

[70]  Shoki Takahashi,et al.  Diffusion-weighted MRI in abdominal oncology: clinical applications. , 2010, World journal of gastroenterology.

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

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

[73]  G C McKinnon,et al.  Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI , 2001, Journal of magnetic resonance imaging : JMRI.

[74]  Mark A. Helvie,et al.  Clinical and Radiologic Assessments to Predict Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy , 2005, Breast Cancer Research and Treatment.

[75]  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.