T R McKnight
Affiliation: University of California
- An automated technique for the quantitative assessment of 3D-MRSI data from patients with gliomaT R McKnight
Department of Radiology, University of California, San Francisco, California 94143, USA
J Magn Reson Imaging 13:167-77. 2001..In addition, we demonstrated the usefulness of the method for monitoring patients in serial studies from two glioma patients with progressive disease...
- Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomasTracy R McKnight
Department of Radiology, University of California, San Francisco 94107, USA
J Neurosurg 106:660-6. 2007....
- Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presenceTracy R McKnight
Department of Radiology, Biostatistics Core, Comprehensive Cancer Center, University of California, San Francisco 94143, USA
J Neurosurg 97:794-802. 2002..The information gleaned from the biopsy correlation study was used to test the hypothesis that there is metabolically active tumor in nonenhancing regions of the T2-hyperintense lesion that can be detected using MR spectroscopy...
- Relationship between choline and apparent diffusion coefficient in patients with gliomasInas S Khayal
University of California, San Francisco, California, USA
J Magn Reson Imaging 27:718-25. 2008....
- Longitudinal multivoxel MR spectroscopy study of pediatric diffuse brainstem gliomas treated with radiotherapyAnne Laprie
Department of Radiology, University of California, San Francisco, San Francisco, CA 94107 1739, USA
Int J Radiat Oncol Biol Phys 62:20-31. 2005..treatment-related changes. In this study, we determined the feasibility and accuracy of multivoxel proton magnetic resonance spectroscopic imaging (1H-MRSI) for monitoring pediatric patients with DIPG...
- 1H-MRSI of radiation effects in normal-appearing white matter: dose-dependence and impact on automated spectral classificationMichael C Lee
Magnetic Resonance Science Center, Department of Radiology, University of California San Francisco, San Francisco, California 94107 1739, USA
J Magn Reson Imaging 19:379-88. 2004..To identify radiation-induced changes in healthy white-matter spectra in the first six months following radiotherapy, and assess the impact of these changes on an automated algorithm for detecting spectral abnormalities...
- Characterization of untreated gliomas by magnetic resonance spectroscopic imagingSarah J Nelson
Magnetic Resonance Science Center, Department of Radiology, University of California at San Francisco, One Irving Street, Box 1290, San Francisco, CA 94143, USA
Neuroimaging Clin N Am 12:599-613. 2002....
- In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSISarah J Nelson
Mgnetic Resonance Science Center, Department of Radiology, University of California, San Francisco, California 94143, USA
J Magn Reson Imaging 16:464-76. 2002..Further work is required to integrate the results of the H-MRSI examination into the treatment planning workstation, and to improve the quality of the data using more sensitive phased array coils and higher field strength magnets...
- Metabolic imaging of low-grade gliomas with three-dimensional magnetic resonance spectroscopyAndrea Pirzkall
Department of Radiation Oncology, University of California, San Francisco, School of Medicine, San Francisco, CA 94143, USA
Int J Radiat Oncol Biol Phys 53:1254-64. 2002..We performed a study examining the impact MRSI would have on the routine addition of 2-3-cm margins around MRI T2-weighted hyperintensity to generate the treatment planning clinical target volume (CTV) for low-grade gliomas...
- MR-spectroscopy guided target delineation for high-grade gliomasA Pirzkall
Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA 94143 0226, USA
Int J Radiat Oncol Biol Phys 50:915-28. 2001..We assessed the impact MRSI might have on the target volumes used for radiation therapy treatment planning for high-grade gliomas...
- Distribution of liposomes into brain and rat brain tumor models by convection-enhanced delivery monitored with magnetic resonance imagingRyuta Saito
Department of Neurological Surgery, Brain Tumor Research Center, University of California, San Francisco, San Francisco, California 94103, USA
Cancer Res 64:2572-9. 2004..By permitting in vivo monitoring of therapeutic distribution in brain tumors, this technique optimizes local drug delivery and may provide a basis for clinical applications in the treatment of malignant glioma...
- Apparent diffusion coefficient and fractional anisotropy of newly diagnosed grade II gliomasInas S Khayal
UCSF UCB Joint Graduate Group in Bioengineering, University of California, San Francisco, CA, USA
NMR Biomed 22:449-55. 2009..This suggests that ADC and FA may be helpful in directing tissue sampling to the most appropriate regions for taking biopsies in order to make a definitive diagnosis...
- Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomasIsabelle Catalaa
Service de Neuroradiologie, Hopital Rangueil, Toulouse, France
NMR Biomed 19:463-75. 2006..To evaluate perfusion, diffusion, and spectroscopy values in enhancing and non-enhancing lesions for patients with newly diagnosed gliomas of different grades...
- Proton magnetic resonance spectroscopic imaging in newly diagnosed glioblastoma: predictive value for the site of postradiotherapy relapse in a prospective longitudinal studyAnne Laprie
Department of Radiation Oncology, Institut Claudius Regaud, Toulouse, France
Int J Radiat Oncol Biol Phys 70:773-81. 2008....