DCE‐ and DW‐MRI as early imaging biomarkers of treatment response in a preclinical model of triple negative breast cancer
暂无分享,去创建一个
Thomas E Yankeelov | Hakmook Kang | Anna G Sorace | Stephanie L Barnes | T. Yankeelov | Hakmook Kang | A. Sorace | J. Whisenant | Stephanie L. Barnes | J. Mcintyre | J Oliver McIntyre | Jennifer G Whisenant
[1] Thomas E Yankeelov,et al. Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer. , 2014, Magnetic resonance imaging.
[2] P. Schiff,et al. Promotion of microtubule assembly in vitro by taxol , 1979, Nature.
[3] D. Yardley. nab-Paclitaxel mechanisms of action and delivery. , 2013, Journal of controlled release : official journal of the Controlled Release Society.
[4] J C Gore,et al. Analysis and correction of motion artifacts in diffusion weighted imaging , 1994, Magnetic resonance in medicine.
[5] R. Jain. Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy , 2005, Science.
[6] J. Pietenpol,et al. Identification and use of biomarkers in treatment strategies for triple‐negative breast cancer subtypes , 2014, The Journal of pathology.
[7] T. Beasley,et al. Early therapy assessment of combined anti‐DR5 antibody and carboplatin in triple‐negative breast cancer xenografts in mice using diffusion‐weighted imaging and 1H MR spectroscopy , 2014, Journal of magnetic resonance imaging : JMRI.
[8] Thomas E. Yankeelov,et al. Practical Dynamic Contrast Enhanced MRI in Small Animal Models of Cancer: Data Acquisition, Data Analysis, and Interpretation , 2012, Pharmaceutics.
[9] Lei Xu,et al. Normalization of the vasculature for treatment of cancer and other diseases. , 2011, Physiological reviews.
[10] Thierry Metens,et al. Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy , 2016, European Radiology.
[11] D. Collins,et al. Vascular characterisation of triple negative breast carcinomas using dynamic MRI , 2011, European Radiology.
[12] Jie Li,et al. DW-MRI ADC values can predict treatment response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy , 2011, Medical Oncology.
[13] S. Gordon,et al. F4/80, a monoclonal antibody directed specifically against the mouse macrophage , 1981, European journal of immunology.
[14] Hassan Bagher-Ebadian,et al. Dynamic contrast enhanced MRI parameters and tumor cellularity in a rat model of cerebral glioma at 7 T , 2014, Magnetic resonance in medicine.
[15] Modeling the Effect of Intra-Voxel Diffusion of Contrast Agent on the Quantitative Analysis of Dynamic Contrast Enhanced Magnetic Resonance Imaging , 2014, PloS one.
[16] T. Uematsu,et al. Triple-negative breast cancer: correlation between MR imaging and pathologic findings. , 2009, Radiology.
[17] Thomas E Yankeelov,et al. Correlation of tumor characteristics derived from DCE‐MRI and DW‐MRI with histology in murine models of breast cancer , 2015, NMR in biomedicine.
[18] A. Jackson,et al. Candidate Biomarkers of Extravascular Extracellular Space: A Direct Comparison of Apparent Diffusion Coefficient and Dynamic Contrast-Enhanced MR Imaging—Derived Measurement of the Volume of the Extravascular Extracellular Space in Glioblastoma Multiforme , 2010, American Journal of Neuroradiology.
[19] R. Danesi,et al. The pharmacological bases of the antiangiogenic activity of paclitaxel , 2013, Angiogenesis.
[20] Xiaoyuan Chen,et al. DCE-MRI-Derived Parameters in Evaluating Abraxane-Induced Early Vascular Response and the Effectiveness of Its Synergistic Interaction with Cisplatin , 2016, PloS one.
[21] L. Bonomo,et al. Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer. , 2015, Clinical breast cancer.
[22] R. Cress,et al. Descriptive analysis of estrogen receptor (ER)‐negative, progesterone receptor (PR)‐negative, and HER2‐negative invasive breast cancer, the so‐called triple‐negative phenotype , 2007, Cancer.
[23] M. Seshadri,et al. Tumor Vascular Maturation and Improved Drug Delivery Induced by Methylselenocysteine Leads to Therapeutic Synergy with Anticancer Drugs , 2008, Clinical Cancer Research.
[24] Rakesh K. Jain,et al. Role of vascular density and normalization in response to neoadjuvant bevacizumab and chemotherapy in breast cancer patients , 2015, Proceedings of the National Academy of Sciences.
[25] P. Choyke,et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.
[26] Thomas E Yankeelov,et al. Comparisons of the efficacy of a Jak1/2 inhibitor (AZD1480) with a VEGF signaling inhibitor (cediranib) and sham treatments in mouse tumors using DCE-MRI, DW-MRI, and histology. , 2012, Neoplasia.
[27] D. Le Bihan,et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.
[28] L. Schwartz,et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.
[29] M. Piccart,et al. Neoadjuvant therapy for breast cancer. , 2015, Annual review of medicine.
[30] P. Schiff,et al. Taxol stabilizes microtubules in mouse fibroblast cells. , 1980, Proceedings of the National Academy of Sciences of the United States of America.
[31] K. Hess,et al. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[32] David J Collins,et al. Technology Insight: water diffusion MRI—a potential new biomarker of response to cancer therapy , 2008, Nature Clinical Practice Oncology.
[33] Huang Jun,et al. Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype , 2014 .
[34] J. Henkin,et al. Paclitaxel at ultra low concentrations inhibits angiogenesis without affecting cellular microtubule assembly , 2003, Anti-cancer drugs.
[35] W. Rooney,et al. Determination of the MRI contrast agent concentration time course in vivo following bolus injection: Effect of equilibrium transcytolemmal water exchange , 2000, Magnetic resonance in medicine.
[36] Steven Staelens,et al. 99mTc-(CO)3 His-Annexin A5 Micro-SPECT Demonstrates Increased Cell Death by Irinotecan During the Vascular Normalization Window Caused by Bevacizumab , 2011, The Journal of Nuclear Medicine.
[37] A. Elias. Triple-Negative Breast Cancer: A Short Review , 2010, American journal of clinical oncology.
[38] A. Forero-Torres,et al. How do I Treat “Triple-Negative” Disease , 2011, Current treatment options in oncology.
[39] T. Nagaoka,et al. Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging--prospective assessment. , 2012, Radiology.
[40] W. Yang,et al. Multimodality imaging of triple receptor-negative tumors with mammography, ultrasound, and MRI. , 2010, AJR. American journal of roentgenology.
[41] C. Painter,et al. Comparison of dynamic contrast-enhanced MR, ultrasound and optical imaging modalities to evaluate the antiangiogenic effect of PF-03084014 and sunitinib , 2014, Cancer medicine.
[42] Eun-Kyung Kim,et al. Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes , 2012, European Radiology.
[43] Paul Ellis,et al. Dissecting the heterogeneity of triple-negative breast cancer. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[44] T. Yankeelov,et al. Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts , 2014, Translational oncology.
[45] S. Rodenhuis,et al. Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[46] Ning-Yu An,et al. Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging , 2002, Journal of magnetic resonance imaging : JMRI.
[47] C. Perou,et al. The Triple Negative Paradox: Primary Tumor Chemosensitivity of Breast Cancer Subtypes , 2007, Clinical Cancer Research.
[48] G. Viale,et al. The microtubule-affecting drug paclitaxel has antiangiogenic activity. , 1996, Clinical cancer research : an official journal of the American Association for Cancer Research.
[49] 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.
[50] J. Gore,et al. A quantitative comparison of the influence of individual versus population‐derived vascular input functions on dynamic contrast enhanced‐MRI in small animals , 2012, Magnetic resonance in medicine.
[51] Andreas Makris,et al. Early Changes in Functional Dynamic Magnetic Resonance Imaging Predict for Pathologic Response to Neoadjuvant Chemotherapy in Primary Breast Cancer , 2008, Clinical Cancer Research.
[52] Gianluca Franceschini,et al. Effect of breast cancer phenotype on diagnostic performance of MRI in the prediction to response to neoadjuvant treatment. , 2014, European journal of radiology.
[53] T. Chenevert,et al. Anisotropic diffusion in human white matter: demonstration with MR techniques in vivo. , 1990, Radiology.
[54] Isabelle Thomassin,et al. Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer , 2013, European Radiology.
[55] N. Neamati,et al. 18F-FPPRGD2 and 18F-FDG PET of Response to Abraxane Therapy , 2011, The Journal of Nuclear Medicine.
[56] R. Ponzone,et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers , 2012, European Radiology.
[57] 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.
[58] M. Flister,et al. Nab-paclitaxel efficacy in the orthotopic model of human breast cancer is significantly enhanced by concurrent anti-vascular endothelial growth factor A therapy. , 2008, Neoplasia.
[59] Wei Huang,et al. Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI1 , 2016, Translational oncology.
[60] P. Morris,et al. Biological subtypes of breast cancer: current concepts and implications for recurrence patterns. , 2013, The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of....
[61] B. Naume,et al. Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging , 2010, European Radiology.
[62] L. Esserman,et al. Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL. , 2012, Radiology.
[63] Hee Jung Shin,et al. Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion‐weighted imaging and MRS , 2012, NMR in biomedicine.
[64] 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.
[65] J. E. Tanner,et al. Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient , 1965 .
[66] E. Pasquier,et al. Antiangiogenic activity of paclitaxel is associated with its cytostatic effect, mediated by the initiation but not completion of a mitochondrial apoptotic signaling pathway. , 2004, Molecular cancer therapeutics.
[67] Thomas E Yankeelov,et al. Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer , 2015, Investigative radiology.
[68] Andreas Makris,et al. Use of dynamic contrast-enhanced MR imaging to predict survival in patients with primary breast cancer undergoing neoadjuvant chemotherapy. , 2011, Radiology.
[69] Shangang Liu,et al. Diffusion‐weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy , 2015, Journal of magnetic resonance imaging : JMRI.
[70] T. Yankeelov,et al. Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results , 2016, Breast Cancer Research and Treatment.
[71] Thomas E. Yankeelov,et al. On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer. , 2011, Magnetic resonance imaging.