A comparison of tracer kinetic models for T1‐weighted dynamic contrast‐enhanced MRI: Application in carcinoma of the cervix
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S. Sourbron | D. Buckley | Andrew P Jones | C. West | S. Donaldson | S. Davidson | B. Carrington | G. Hutchison | Andrew P. Jones
[1] Maximilian Reiser,et al. Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI , 2009, Magnetic resonance in medicine.
[2] Evis Sala,et al. Semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging measurements predict radiation response in cervix cancer. , 2009, International journal of radiation oncology, biology, physics.
[3] A. Jackson,et al. Modeling of contrast agent kinetics in the lung using T1‐weighted dynamic contrast‐enhanced MRI , 2009, Magnetic resonance in medicine.
[4] M. Neeman,et al. Molecular imaging of angiogenesis , 2007, Journal of magnetic resonance imaging : JMRI.
[5] M. Knopp,et al. Cervical carcinoma: standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival , 1999, Magnetic Resonance Materials in Physics, Biology and Medicine.
[6] 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.
[7] D J Collins,et al. Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis , 2006, Physics in medicine and biology.
[8] Stephen L. Brown,et al. Model Selection in Magnetic Resonance Imaging Measurements of Vascular Permeability: Gadomer in a 9L Model of Rat Cerebral Tumor , 2006, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[9] Frédérique Frouin,et al. New criteria for assessing fit quality in dynamic contrast‐enhanced T1‐weighted MRI for perfusion and permeability imaging , 2005, Magnetic resonance in medicine.
[10] Frédérique Frouin,et al. Comprehensive model for simultaneous MRI determination of perfusion and permeability using a blood-pool agent in rats rhabdomyosarcoma , 2005, European Radiology.
[11] Anthony Fyles,et al. Assessment of the tumor microenvironment in cervix cancer using dynamic contrast enhanced CT, interstitial fluid pressure and oxygen measurements. , 2005, International journal of radiation oncology, biology, physics.
[12] P. Choyke. Contrast agents for imaging tumor angiogenesis: is bigger better? , 2005, Radiology.
[13] M. Simons. Angiogenesis: where do we stand now? , 2005, Circulation.
[14] Geoffrey J. M. Parker,et al. Tracer Kinetic Modelling for T1-Weighted DCE-MRI , 2005 .
[15] G. Parker,et al. Prostate cancer: evaluation of vascular characteristics with dynamic contrast-enhanced T1-weighted MR imaging--initial experience. , 2004, Radiology.
[16] R. Fisher,et al. Significance of tumor volume and corpus uteri invasion in cervical cancer patients treated by radiotherapy , 2004, International Journal of Gynecologic Cancer.
[17] R. Lucht,et al. Microcirculation and microvasculature in breast tumors: Pharmacokinetic analysis of dynamic MR image series , 2004, Magnetic resonance in medicine.
[18] J R Griffiths,et al. Assessment of antiangiogenic and antivascular therapeutics using MRI: recommendations for appropriate methodology for clinical trials. , 2003, The British journal of radiology.
[19] David L Buckley,et al. Prediction of radiotherapy outcome using dynamic contrast enhanced MRI of carcinoma of the cervix. , 2002, International journal of radiation oncology, biology, physics.
[20] David L Buckley,et al. Uncertainty in the analysis of tracer kinetics using dynamic contrast‐enhanced T1‐weighted MRI , 2002, Magnetic resonance in medicine.
[21] H Lyng,et al. Assessment of tumor oxygenation in human cervical carcinoma by use of dynamic Gd‐DTPA‐enhanced MR imaging , 2001, Journal of magnetic resonance imaging : JMRI.
[22] J. Reiber,et al. Tumor diameter and volume assessed by magnetic resonance imaging in the prediction of outcome for invasive cervical cancer. , 2001, Gynecologic oncology.
[23] M V Knopp,et al. Dynamic contrast-enhanced magnetic resonance imaging in oncology. , 2001, Topics in magnetic resonance imaging : TMRI.
[24] H. Lyng,et al. Intra‐ and intertumor heterogeneity in blood perfusion of human cervical cancer before treatment and after radiotherapy , 2001, International journal of cancer.
[25] W Zhen,et al. Pixel analysis of MR perfusion imaging in predicting radiation therapy outcome in cervical cancer , 2000, Journal of magnetic resonance imaging : JMRI.
[26] J P Logue,et al. Tumour oxygenation levels correlate with dynamic contrast-enhanced magnetic resonance imaging parameters in carcinoma of the cervix. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[27] H Okamura,et al. Dynamic contrast-enhanced MR imaging of uterine cervical cancer: pharmacokinetic analysis with histopathologic correlation and its importance in predicting the outcome of radiation therapy. , 2000, Radiology.
[28] J. Oakley,et al. Contrast enhanced dynamic MRI of cervical carcinoma during radiotherapy: early prediction of tumour regression rate. , 1999, The British journal of radiology.
[29] W T Yuh,et al. MR microcirculation assessment in cervical cancer: Correlations with histomorphological tumor markers and clinical outcome , 1999, Journal of magnetic resonance imaging : JMRI.
[30] J L Evelhoch,et al. Key factors in the acquisition of contrast kinetic data for oncology , 1999, Journal of magnetic resonance imaging : JMRI.
[31] 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.
[32] M. Knopp,et al. Cervical carcinoma: standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival. , 1999 .
[33] T W Redpath,et al. Accuracy of T1 measurement in dynamic contrast‐enhanced breast MRI using two‐ and three‐dimensional variable flip angle fast low‐angle shot , 1999, Journal of magnetic resonance imaging : JMRI.
[34] J C Ehrhardt,et al. Prediction of tumor control in patients with cervical cancer: analysis of combined volume and dynamic enhancement pattern by MR imaging. , 2000, AJR. American journal of roentgenology.
[35] Ting-Yim Lee,et al. An Adiabatic Approximation to the Tissue Homogeneity Model for Water Exchange in the Brain: I. Theoretical Derivation , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[36] M V Knopp,et al. Angiogenic activity of cervical carcinoma: assessment by functional magnetic resonance imaging-based parameters and a histomorphological approach in correlation with disease outcome. , 1998, Clinical cancer research : an official journal of the American Association for Cancer Research.
[37] G Brix,et al. Uterine cervical carcinoma: comparison of standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival. , 1998, Cancer research.
[38] P. Tofts. Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.
[39] W. J. Lorenz,et al. Pharmacokinetic Mapping of the Breast: A New Method for Dynamic MR Mammography , 1995, Magnetic resonance in medicine.
[40] J. Hogg. Magnetic resonance imaging. , 1994, Journal of the Royal Naval Medical Service.
[41] D Matthaei,et al. Dynamic digital subtraction imaging using fast low-angle shot MR movie sequence. , 1986, Radiology.
[42] C. Patlak,et al. Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Generalizations , 1985, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[43] N. Lassen,et al. Tracer kinetic methods in medical physiology , 1979 .