A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy
暂无分享,去创建一个
P V Bayly | E. H. Clayton | R J Okamoto | R. Okamoto | J. Engelbach | P. Bayly | J. Garbow | E H Clayton | Y Feng | J Engelbach | J R Garbow | Y. Feng
[1] C. Vanhove,et al. (18)F-fluoromethylcholine (FCho), (18)F-fluoroethyltyrosine (FET), and (18)F-fluorodeoxyglucose (FDG) for the discrimination between high-grade glioma and radiation necrosis in rats: a PET study. , 2015, Nuclear medicine and biology.
[2] S Mutic,et al. TH-C-141-05: A Simulation Study to Investigate the Potential of Using Magnetic Resonance Elastography (MRE) to Differentiate Recurrent Tumor and Radiation Necrosis. , 2013, Medical physics.
[3] H. Buchtel,et al. Diffusion tensor imaging of normal-appearing white matter as biomarker for radiation-induced late delayed cognitive decline. , 2012, International journal of radiation oncology, biology, physics.
[4] Mickael Tanter,et al. Viscoelastic shear properties of in vivo breast lesions measured by MR elastography. , 2005, Magnetic resonance imaging.
[5] Huan Wang,et al. Local mechanical properties of white matter structures in the human brain , 2013, NeuroImage.
[6] A. Alavi,et al. Molecular imaging (PET) of brain tumors. , 2009, Neuroimaging clinics of North America.
[7] Armando Manduca,et al. Preoperative assessment of meningioma stiffness using magnetic resonance elastography. , 2013, Journal of neurosurgery.
[8] John B Weaver,et al. Brain mechanical property measurement using MRE with intrinsic activation , 2012, Physics in medicine and biology.
[9] T. Cloughesy,et al. NIMG-24HIGH SPATIOTEMPORAL DYNAMIC SUSCEPTIBILITY CONTRAST (DSC) PERFUSION MRI USING MULTIBAND ECHOPLANAR IMAGING (MB-EPI) , 2015 .
[10] Robert Rohling,et al. MR elastography of prostate cancer: quantitative comparison with histopathology and repeatability of methods , 2014, NMR in biomedicine.
[11] R. Sinkus. Elasticity of the Heart, Problems and Potentials , 2014, Current Cardiovascular Imaging Reports.
[12] A. Akabane,et al. Differentiation of Brain Tumor Recurrence from Post-Radiotherapy Necrosis with 11C-Methionine PET: Visual Assessment versus Quantitative Assessment , 2015, PloS one.
[13] E van der Schueren,et al. Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours. , 1993, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[14] H. Daldrup-Link,et al. Value of 18F-FDG PET and PET/CT for Evaluation of Pediatric Malignancies , 2015, The Journal of Nuclear Medicine.
[15] M. Christian,et al. Measuring response in solid tumors: unidimensional versus bidimensional measurement. , 1999, Journal of the National Cancer Institute.
[16] Abbas Samani,et al. Observation of nonlinear shear wave propagation using magnetic resonance elastography , 2004, Magnetic resonance in medicine.
[17] M. Kumar,et al. Magnetic Resonance Spectroscopy for Detection of Choline Kinase Inhibition in the Treatment of Brain Tumors , 2015, Molecular Cancer Therapeutics.
[18] R Sinkus,et al. Tumour biomechanical response to the vascular disrupting agent ZD6126 in vivo assessed by magnetic resonance elastography , 2014, British Journal of Cancer.
[19] John O. Prior,et al. Performance of 18F-FET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: systematic review and meta-analysis. , 2016, Neuro-oncology.
[20] E. H. Clayton,et al. Transmission, attenuation and reflection of shear waves in the human brain , 2012, Journal of The Royal Society Interface.
[21] T. Cascino,et al. Response criteria for phase II studies of supratentorial malignant glioma. , 1990, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[22] Marion Smits,et al. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. , 2015, Neuro-oncology.
[23] I. Sack,et al. High Resolution Imaging of Viscoelastic Properties of Intracranial Tumours by Multi-Frequency Magnetic Resonance Elastography , 2015, Clinical Neuroradiology.
[24] Stephan E Maier,et al. Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI. , 2004, Neoplasia.
[25] T. Krouskop,et al. Elastic Moduli of Breast and Prostate Tissues under Compression , 1998, Ultrasonic imaging.
[26] P. Janmey,et al. Compression stiffening of brain and its effect on mechanosensing by glioma cells , 2014, New journal of physics.
[27] P. Barker,et al. Imaging of brain tumors: MR spectroscopy and metabolic imaging. , 2010, Neuroimaging clinics of North America.
[28] S. Chiu‐Tsao,et al. Assessment of the irradiated brain by quantitative computerized tomography scan analysis-I: Sampling methods and concepts. , 1979, International journal of radiation oncology, biology, physics.
[29] Yue Cao,et al. Radiation-induced changes in normal-appearing white matter in patients with cerebral tumors: a diffusion tensor imaging study. , 2008, International journal of radiation oncology, biology, physics.
[30] Yue Cao,et al. Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy. , 2014, Neuro-oncology.
[31] A. Manduca,et al. Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. , 1995, Science.
[32] J. Tonn,et al. PET imaging for brain tumor diagnostics. , 2014, Current opinion in neurology.
[33] Eun Jeong Lee,et al. Annexin V Imaging Detects Diabetes-Accelerated Apoptosis and Monitors the Efficacy of Benfotiamine Treatment in Ischemic Limbs of Mice , 2014, Molecular imaging.
[34] T. Woolsey,et al. IN VIVO IMAGING IN A MURINE MODEL OF GLIOBLASTOMA , 2007, Neurosurgery.
[35] R. Sinkus,et al. High-resolution tensor MR elastography for breast tumour detection. , 2000, Physics in medicine and biology.
[36] A. Manduca,et al. MR elastography of breast cancer: preliminary results. , 2002, AJR. American journal of roentgenology.
[37] S Ekholm,et al. Adverse effects of brain irradiation correlated with MR and CT imaging. , 1987, International journal of radiation oncology, biology, physics.
[38] Douglas C. Miller,et al. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. , 2008, Radiology.
[39] Thomas L Chenevert,et al. Diffusion imaging for therapy response assessment of brain tumor. , 2009, Neuroimaging clinics of North America.
[40] Philip V Bayly,et al. Measurement of the dynamic shear modulus of mouse brain tissue in vivo by magnetic resonance elastography. , 2008, Journal of biomechanical engineering.
[41] T. Mikkelsen,et al. Role of MRI in primary brain tumor evaluation. , 2014, Journal of the National Comprehensive Cancer Network : JNCCN.
[42] Richard L Ehman,et al. MR elastography derived shear stiffness—a new imaging biomarker for the assessment of early tumor response to chemotherapy , 2014, Magnetic resonance in medicine.
[43] L E Bilston,et al. MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compression , 2015, American Journal of Neuroradiology.
[44] P V Bayly,et al. Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography , 2011, Physics in medicine and biology.
[45] A. Manduca,et al. Assessment of hepatic fibrosis with magnetic resonance elastography. , 2007, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.
[46] R. Ehman,et al. MR elastography of liver tumors: preliminary results. , 2008, AJR. American journal of roentgenology.
[47] S. Fletcher,et al. The rational clinical examination. Does this patient have breast cancer? The screening clinical breast examination: should it be done? How? , 1999, JAMA.
[48] Kathleen M Schmainda,et al. Diffusion-weighted MRI as a biomarker for treatment response in glioma. , 2012, CNS oncology.
[49] Bradford A Moffat,et al. The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. , 2006, Neoplasia.
[50] S. Nelson,et al. Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma. , 2014, Seminars in radiation oncology.
[51] D. Shukla,et al. T2 weighted MRI in assessment of volume changes during radiotherapy of high grade gliomas. , 2005, Journal of cancer research and therapeutics.
[52] S. Mittal,et al. Comparison of Amino Acid Positron Emission Tomographic Radiotracers for Molecular Imaging of Primary and Metastatic Brain Tumors , 2014, Molecular imaging.
[53] P V Bayly,et al. Viscoelastic properties of soft gels: comparison of magnetic resonance elastography and dynamic shear testing in the shear wave regime , 2011, Physics in medicine and biology.
[54] M. Conradi,et al. Actively Decoupled Transmit-Receive Coil-Pair for Mouse Brain MRI. , 2008, Concepts in magnetic resonance. Part B, Magnetic resonance engineering.
[55] C. Erdmann,et al. Non-invasive characterization of intracranial tumors by magnetic resonance elastography , 2013 .
[56] L. Xu,et al. Magnetic resonance elastography of brain tumors: preliminary results , 2007, Acta radiologica.
[57] I. Ercan,et al. High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. , 2005, Clinical radiology.
[58] Brian D Ross,et al. Predicting and monitoring cancer treatment response with diffusion‐weighted MRI , 2010, Journal of magnetic resonance imaging : JMRI.
[59] R. Ehman,et al. Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging. , 2011, AJR. American journal of roentgenology.
[60] Yue Cao,et al. Clinical applications for diffusion magnetic resonance imaging in radiotherapy. , 2014, Seminars in radiation oncology.
[61] B. V. Van Beers,et al. Liver fibrosis: non‐invasive assessment with MR elastography , 2006, NMR in biomedicine.
[62] C. Hess,et al. Repeated CT examinations in limited volume irradiation of brain tumors: quantitative analysis of individualized (CT-based) treatment plans. , 1994, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[63] P V Bayly,et al. Viscoelastic properties of the ferret brain measured in vivo at multiple frequencies by magnetic resonance elastography. , 2013, Journal of biomechanics.