? Magnetic Resonance Spectroscopic Imaging (MRSI) is an in vivo molecular imaging technique that has been proposed for defining tumor burden for patients with gliomas. The current funding cycle has demonstrated that MRSI is superior to conventional MR imaging for predicting outcome and following response to Gamma Knife Radiosurgery (GK-RS) in recurrent gliomas. The objective in the next funding cycle is to make this technology more generally applicable by investigating the application of MRSI to the evaluation of fractionated radiation therapy. This treatment is used as a follow-up to surgical resection for almost all newly diagnosed malignant gliomas. New approaches such as Intensity Modulated Radiation Therapy (IMRT) have made it possible to treat irregular 3-D volumes accurately and reproducibly in a highly conformal manner. Critical factors for realizing the potential of IMRT and for understanding its limitations are the ability to determine whether treatment failure is due to inadequate targeting or to an intrinsic lack of sensitivity to radiation. This represents a complex problem in gliomas because of the heterogeneity of the lesion and the spatial variations in radiation dose to the tumor and surrounding brain tissue.
Specific Aim 1 will address the optimization of data acquisition and reconstruction parameters. This will include the investigation of the use of a 3T MR scanner rather the standard 1.5T clinical system for obtaining the anatomic and metabolic data.
Specific Aim 2 will involve the development of algorithms for quantitative analysis of the MRSI data and correlation with serial MR images. The final Specific Aim will apply the new technology to the serial evaluation of 60 patients with malignant gliomas who are being treated at UCSF with fractionated radiation therapy. Using the MRSI data to guide and evaluate such focal therapy is expected to have a major impact upon treatment effectiveness and ultimately upon patient outcome. ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA059880-10
Application #
6785933
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Liu, Guoying
Project Start
1993-05-15
Project End
2008-07-31
Budget Start
2004-08-04
Budget End
2005-07-31
Support Year
10
Fiscal Year
2004
Total Cost
$403,063
Indirect Cost
Name
University of California San Francisco
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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Lupo, Janine M; Essock-Burns, Emma; Molinaro, Annette M et al. (2013) Using susceptibility-weighted imaging to determine response to combined anti-angiogenic, cytotoxic, and radiation therapy in patients with glioblastoma multiforme. Neuro Oncol 15:480-9
Lupo, Janine M; Chuang, Cynthia F; Chang, Susan M et al. (2012) 7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma. Int J Radiat Oncol Biol Phys 82:e493-500
Park, Ilwoo; Chen, Albert P; Zierhut, Matthew L et al. (2011) Implementation of 3 T lactate-edited 3D 1H MR spectroscopic imaging with flyback echo-planar readout for gliomas patients. Ann Biomed Eng 39:193-204
Ozturk-Isik, Esin; Chen, Albert P; Crane, Jason C et al. (2009) 3D sensitivity encoded ellipsoidal MR spectroscopic imaging of gliomas at 3T. Magn Reson Imaging 27:1249-57
Crawford, Forrest W; Khayal, Inas S; McGue, Colleen et al. (2009) Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM. J Neurooncol 91:337-51
Saraswathy, Suja; Crawford, Forrest W; Lamborn, Kathleen R et al. (2009) Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy. J Neurooncol 91:69-81
Chang, Susan M; Nelson, Sarah; Vandenberg, Scott et al. (2009) Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma. J Neurooncol 92:401-15
Lupo, Janine M; Banerjee, Suchandrima; Hammond, Kathryn E et al. (2009) GRAPPA-based susceptibility-weighted imaging of normal volunteers and patients with brain tumor at 7 T. Magn Reson Imaging 27:480-8
Pirzkall, Andrea; McGue, Colleen; Saraswathy, Suja et al. (2009) Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma. Neuro Oncol 11:842-52

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