MO-EE-A4-02: Metabolic Changes in Malignant Brain Tumors During Mid-Course Radiation Therapy: Initial Findings of 3Tesla Volumetric Magnetic Resonance Spectroscopic Imaging

2009 ◽  
Vol 36 (6Part21) ◽  
pp. 2705-2706
Author(s):  
M Muruganandham ◽  
J Bayouth ◽  
M Smith ◽  
J Buatti
2000 ◽  
Vol 18 (5) ◽  
pp. 1020-1020 ◽  
Author(s):  
Katherine E. Warren ◽  
Joseph A. Frank ◽  
Jeanette L. Black ◽  
Rene S. Hill ◽  
Josef H. Duyn ◽  
...  

PURPOSE: Proton magnetic resonance spectroscopic imaging (1H-MRSI) is a noninvasive technique for spatial characterization of biochemical markers in tissues. We measured the relative tumor concentrations of these biochemical markers in children with recurrent brain tumors and evaluated their potential prognostic significance. PATIENTS AND METHODS: 1H-MRSI was performed on 27 children with recurrent primary brain tumors referred to our institution for investigational drug trials. Diagnoses included high-grade glioma (n = 10), brainstem glioma (n = 7), medulloblastoma/peripheral neuroectodermal tumor (n = 6), ependymoma (n = 3), and pineal germinoma (n = 1). 1H-MRSI was performed on 1.5-T magnetic resonance imagers before treatment. The concentrations of choline (Cho) and N-acetyl-aspartate (NAA) in the tumor and normal brain were quantified using a multislice multivoxel method, and the maximum Cho:NAA ratio was determined for each patient’s tumor. RESULTS: The maximum Cho:NAA ratio ranged from 1.1 to 13.2 (median, 4.5); the Cho:NAA ratio in areas of normal-appearing brain tissue was less than 1.0. The maximum Cho:NAA ratio for each histologic subtype varied considerably; approximately equal numbers of patients within each tumor type had maximum Cho:NAA ratios above and below the median. Patients with a maximum Cho:NAA ratio greater than 4.5 had a median survival of 22 weeks, and all 13 patients died by 63 weeks. Patients with a Cho:NAA ratio less than or equal to 4.5 had a projected survival of more than 50% at 63 weeks. The difference was statistically significant (P = .0067, log-rank test). CONCLUSION: The maximum tumor Cho:NAA ratio seems to be predictive of outcome in children with recurrent primary brain tumors and should be evaluated as a prognostic indicator in newly diagnosed childhood brain tumors.


2001 ◽  
Vol 19 (1) ◽  
pp. 89-101 ◽  
Author(s):  
Daniel Vigneron ◽  
Andrew Bollen ◽  
Michael McDermott ◽  
Lawrence Wald ◽  
Mark Day ◽  
...  

2009 ◽  
Vol 27 (10) ◽  
pp. 1319-1325 ◽  
Author(s):  
Suchandrima Banerjee ◽  
Esin Ozturk-Isik ◽  
Sarah J. Nelson ◽  
Sharmila Majumdar

2004 ◽  
Vol 10 (24) ◽  
pp. 8220-8228 ◽  
Author(s):  
Loukas G. Astrakas ◽  
David Zurakowski ◽  
A. Aria Tzika ◽  
Maria K. Zarifi ◽  
Douglas C. Anthony ◽  
...  

2004 ◽  
Vol 19 (2-3) ◽  
pp. 69-94 ◽  
Author(s):  
Qiuhong He ◽  
Ray Z. Xu ◽  
Pavel Shkarin ◽  
Giuseppe Pizzorno ◽  
Carol H. Lee-French ◽  
...  

Cancer cells display heterogeneous genetic characteristics, depending on the tumor dynamic microenvironment. Abnormal tumor vasculature and poor tissue oxygenation generate a fraction of hypoxic tumor cells that have selective advantages in metastasis and invasion and often resist chemo- and radiation therapies. The genetic alterations acquired by tumors modify their biochemical pathways, which results in abnormal tumor metabolism. An elevation in glycolysis known as the “Warburg effect” and changes in lipid synthesis and oxidation occur. Magnetic resonance spectroscopy (MRS) has been used to study tumor metabolism in preclinical animal models and in clinical research on human breast, brain, and prostate cancers. This technique can identify specific genetic and metabolic changes that occur in malignant tumors. Therefore, the metabolic markers, detectable by MRS, not only provide information on biochemical changes but also define different metabolic tumor phenotypes. When combined with the contrast-enhanced Magnetic Resonance Imaging (MRI), which has a high sensitivity for cancer diagnosis,in vivomagnetic resonance spectroscopic imaging (MRSI) improves the diagnostic specificity of malignant human cancers and is becoming an important clinical tool for cancer management and care. This article reviews the MRSI techniques as molecular imaging methods to detect and quantify metabolic changes in various tumor tissue types, especially in extracranial tumor tissues that contain high concentrations of fat. MRI/MRSI methods have been used to characterize tumor microenvironments in terms of blood volume and vessel permeability. Measurements of tissue oxygenation and glycolytic rates by MRS also are described to illustrate the capability of the MR technology in probing molecular information non-invasively in tumor tissues and its important potential for studying molecular mechanisms of human cancers in physiological conditions.


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