Dynamic contrast‐enhanced magnetic resonance imaging of human melanoma xenografts with necrotic regions

To investigate whether high‐resolution images of necrotic regions in tumors can be derived from gadopentetate dimeglumine (Gd‐DTPA)‐based dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) series.

[1]  Jürgen Griebel,et al.  Tumor microcirculation and diffusion predict therapy outcome for primary rectal carcinoma. , 2003, International journal of radiation oncology, biology, physics.

[2]  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.

[3]  A. Giaccia,et al.  The unique physiology of solid tumors: opportunities (and problems) for cancer therapy. , 1998, Cancer research.

[4]  H Lyng,et al.  Magnetic resonance imaging of human melanoma xenografts in vivo: proton spin-lattice and spin-spin relaxation times versus fractional tumour water content and fraction of necrotic tumour tissue. , 1994, International journal of radiation biology.

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

[6]  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.

[7]  Peter Vaupel,et al.  Tumor microenvironmental physiology and its implications for radiation oncology. , 2004, Seminars in radiation oncology.

[8]  E. Rofstad,et al.  Radiobiological and immunohistochemical assessment of hypoxia in human melanoma xenografts: acute and chronic hypoxia in individual tumours. , 1999, International journal of radiation biology.

[9]  A. Fiennes,et al.  Growth rate of tumours , 1988, The British journal of surgery.

[10]  E. Rofstad,et al.  Antiangiogenic treatment with thrombospondin-1 enhances primary tumor radiation response and prevents growth of dormant pulmonary micrometastases after curative radiation therapy in human melanoma xenografts. , 2003, Cancer research.

[11]  E. Rofstad,et al.  Assessment of fraction of radiobiologically hypoxic cells in human melanoma xenografts by dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.

[12]  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.

[13]  P J Drew,et al.  Microvessel density in invasive breast cancer assessed by dynamic gd‐dtpa enhanced MRI , 1997 .

[14]  E. Rofstad,et al.  Changes in intratumor heterogeneity in blood perfusion in intradermal human melanoma xenografts during tumor growth assessed by DCE-MRI. , 2005, Magnetic resonance imaging.

[15]  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.

[16]  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.

[17]  M A Horsfield,et al.  A simple, reproducible method for monitoring the treatment of tumours using dynamic contrast-enhanced MR imaging , 2006, British Journal of Cancer.

[18]  E. Rofstad,et al.  Assessment of tumor blood perfusion by high‐resolution dynamic contrast‐enhanced MRI: A preclinical study of human melanoma xenografts , 2004, Magnetic resonance in medicine.

[19]  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.

[20]  E. Rofstad,et al.  Comparison of tumor blood perfusion assessed by dynamic contrast‐enhanced MRI with tumor blood supply assessed by invasive imaging , 2005, Journal of magnetic resonance imaging : JMRI.

[21]  M. Varia,et al.  Semiquantitative immunohistochemical analysis for hypoxia in human tumors. , 2001, International journal of radiation oncology, biology, physics.

[22]  M Recht,et al.  Method for the quantitative assessment of contrast agent uptake in dynamic contrast‐enhanced MRI , 1994, Magnetic resonance in medicine.

[23]  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.

[24]  P. Sismondi,et al.  Dynamic contrast-enhanced MRI and sonography in patients receiving primary chemotherapy for breast cancer , 2005, European Radiology.

[25]  E. Rofstad Microenvironment-induced cancer metastasis , 2000, International journal of radiation biology.

[26]  E. Rofstad,et al.  Orthotopic human melanoma xenograft model systems for studies of tumour angiogenesis, pathophysiology, treatment sensitivity and metastatic pattern. , 1994, British Journal of Cancer.

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

[28]  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.

[29]  P. Okunieff,et al.  Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. , 1989, Cancer research.

[30]  E. Rofstad,et al.  Intratumor heterogeneity in blood perfusion in orthotopic human melanoma xenografts assessed by dynamic contrast‐enhanced magnetic resonance imaging , 2005, Journal of magnetic resonance imaging : JMRI.