A Bayesian hierarchical model for DCE-MRI to evaluate treatment response in a phase II study in advanced squamous cell carcinoma of the head and neck

[1]  Volker Schmid,et al.  dcemriS4: A Package for Medical Image Analysis , 2010 .

[2]  Kevin Harrington,et al.  An exploratory study into the role of dynamic contrast-enhanced magnetic resonance imaging or perfusion computed tomography for detection of intratumoral hypoxia in head-and-neck cancer. , 2009, International journal of radiation oncology, biology, physics.

[3]  Guang-Zhong Yang,et al.  A Bayesian hierarchical model for the analysis of a longitudinal dynamic contrast‐enhanced MRI oncology study , 2007, Magnetic resonance in medicine.

[4]  Avraham Eisbruch,et al.  Early prediction of outcome in advanced head-and-neck cancer based on tumor blood volume alterations during therapy: a prospective study. , 2008, International journal of radiation oncology, biology, physics.

[5]  David Atkinson,et al.  Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI , 2008, Physics in medicine and biology.

[6]  Y. Liu,et al.  Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis. , 2008, Clinical radiology.

[7]  A. Wozniak,et al.  Phase I clinical evaluation of ZD6126, a novel vascular-targeting agent, in patients with solid tumors , 2008, Investigational New Drugs.

[8]  Dietmar W. Siemann,et al.  Vascular targeted therapies in oncology , 2008, Cell and Tissue Research.

[9]  Chun-Jung Juan,et al.  Perfusion characteristics of late radiation injury of parotid glands: quantitative evaluation with dynamic contrast-enhanced MRI , 2008, European Radiology.

[10]  N. Hylton,et al.  Improved tumor vascular function following high‐dose epidermal growth factor receptor tyrosine kinase inhibitor therapy , 2007, Journal of magnetic resonance imaging : JMRI.

[11]  Harry Quon,et al.  Transcytolemmal water exchange in pharmacokinetic analysis of dynamic contrast‐enhanced MRI data in squamous cell carcinoma of the head and neck , 2007, Journal of magnetic resonance imaging : JMRI.

[12]  David Atkinson,et al.  Bayesian estimation of pharmacokinetic parameters for DCE-MRI with a robust treatment of enhancement onset time. , 2007, Physics in medicine and biology.

[13]  Ying Lu,et al.  AG-013736, a novel inhibitor of VEGF receptor tyrosine kinases, inhibits breast cancer growth and decreases vascular permeability as detected by dynamic contrast-enhanced magnetic resonance imaging. , 2007, Magnetic resonance imaging.

[14]  Guang-Zhong Yang,et al.  Bayesian Methods for Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging , 2006, IEEE Transactions on Medical Imaging.

[15]  A. Jackson,et al.  Experimentally‐derived functional form for a population‐averaged high‐temporal‐resolution arterial input function for dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.

[16]  S. Galbraith Imaging the Effects of Vasculature‐targeting Agents , 2006 .

[17]  E. Scholar,et al.  Role of Tyrosine Kinase Inhibitors in Cancer Therapy , 2005, Journal of Pharmacology and Experimental Therapeutics.

[18]  Geoffrey J. M. Parker,et al.  Measuring contrast agent concentration in T1-weighted dynamic contrast-enhanced MRI , 2005 .

[19]  Geoffrey J. M. Parker,et al.  Tracer Kinetic Modelling for T1-Weighted DCE-MRI , 2005 .

[20]  D. Collins,et al.  Dynamic magnetic resonance imaging of tumor perfusion , 2004, IEEE Engineering in Medicine and Biology Magazine.

[21]  M. Horsfield,et al.  The role of imaging in the clinical development of antiangiogenic agents. , 2004, Hematology/oncology clinics of North America.

[22]  L. Ellis Epidermal growth factor receptor in tumor angiogenesis. , 2004, Hematology/oncology clinics of North America.

[23]  Tove Grönroos,et al.  Imaging perfusion and hypoxia with PET to predict radiotherapy response in head-and-neck cancer. , 2004, International Journal of Radiation Oncology, Biology, Physics.

[24]  H. Matsuzaki,et al.  Application of dynamic contrast-enhanced MRI to differentiate malignant lymphoma from squamous cell carcinoma in the head and neck. , 2004, Oral oncology.

[25]  Joanna Leadbetter,et al.  Magnetic Resonance Imaging Measurements of the Response of Murine and Human Tumors to the Vascular-Targeting Agent ZD6126 , 2004, Clinical Cancer Research.

[26]  Martin A Lodge,et al.  Combretastatin A4 phosphate has tumor antivascular activity in rat and man as demonstrated by dynamic magnetic resonance imaging. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[27]  M. Kaplan,et al.  Challenges in dynamic contrast‐enhanced MRI imaging of cervical lymph nodes to detect metastatic disease , 2003, Journal of magnetic resonance imaging : JMRI.

[28]  A. Padhani,et al.  Effects of 5,6-dimethylxanthenone-4-acetic acid on human tumor microcirculation assessed by dynamic contrast-enhanced magnetic resonance imaging. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  A Heerschap,et al.  Method for quantitative mapping of dynamic MRI contrast agent uptake in human tumors , 2001, Journal of magnetic resonance imaging : JMRI.

[30]  M V Knopp,et al.  Dynamic contrast-enhanced magnetic resonance imaging in oncology. , 2001, Topics in magnetic resonance imaging : TMRI.

[31]  Helen Brown,et al.  Applied Mixed Models in Medicine , 2000, Technometrics.

[32]  H Baddeley,et al.  Dynamic contrast enhanced magnetic resonance scanning as a predictor of response to accelerated radiotherapy for advanced head and neck cancer. , 1999, The British journal of radiology.

[33]  M. Dewhirst,et al.  Oxygenation of head and neck cancer: changes during radiotherapy and impact on treatment outcome. , 1999, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[34]  M. W. D. Dvm Oxygenation of head and neck cancer: Changes during radiotherapy and impact on treatment outcome , 1998 .

[35]  P. Tofts Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[36]  Peter Green,et al.  Markov chain Monte Carlo in Practice , 1996 .

[37]  H. Gudbjartsson,et al.  The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.

[38]  E. McFadden,et al.  Toxicity and response criteria of the Eastern Cooperative Oncology Group , 1982, American journal of clinical oncology.

[39]  S. Kety The theory and applications of the exchange of inert gas at the lungs and tissues. , 1951, Pharmacological reviews.