Analysis of metabolic indices in regions of abnormal perfusion in patients with high-grade glioma

American Journal of Neuroradiology

Volumn 28, Issue 8, 2007, Pages 1455-1461

  Lupo, Janine M ^a,c   Cha, S ^a   Chang, S M ^a   Nelson, S J ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UCSF Radiology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLINE; CREATININE; GADOLINIUM PENTETATE; LACTIC ACID;

ADULT; AGED; ARTICLE; BRAIN HYPOXIA; BRAIN PERFUSION; CELL PROLIFERATION; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; CREATININE BLOOD LEVEL; FEMALE; GLIOMA; HUMAN; LACTATE BLOOD LEVEL; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; TUMOR VASCULARIZATION;

ADULT; AGED; BRAIN NEOPLASMS; CREATINE; FEMALE; GLIOMA; HUMANS; LACTIC ACID; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; MALE; MIDDLE AGED; REGIONAL BLOOD FLOW;

EID: 34648840026     PISSN: 01956108     EISSN: None     Source Type: Journal    
DOI: 10.3174/ajnr.A0586     Document Type: Article

References (41)

1. Allen N. Oxidative metabolism of brain tumors. Prog Exp Tumor Res 1972;17:192-209
2. Amoroso A, Del Porto F, Di Monaco C, et al. Vascular endothelial growth factor: a key mediator of neoangiogenesis - a review. Eur Rev Med Pharmacol Sci 1997;1:17-25
3. Damert A, Machein M, Breier G, et al. Up-regulation of vascular endothelial growth factor expression in a rat glioma is conferred by two distinct hypoxia-driven mechanisms. Cancer Res 1997;57:3860-64
4. Wesseling P, Ruiter DJ, Burger PC. Angiogenesis in brain tumors: pathobiological and clinical aspects. J Neurooncol 1997;32:253-65
5. Schneider SW, Ludwig T, Tatenhorst L, et al. Glioblastoma cells release factors that disrupt blood-brain-barrier features. Acta Neuropathol (Berl) 2004;107:272-76
6. Jain RK. Vascular and interstitial barriers to delivery of therapeutic agents in tumors. Cancer Metastasis Rev 1990;9:253-66
7. Alger JR, Frank JA, Bizzi A, et al. Metabolism of human gliomas: assessment with H-1 MR spectroscopy and F-18 fluorodeoxyglucose PET. Radiology 1990;177:633-41
8. Evans SM, Koch CJ. Prognostic significance of tumor oxygenation in humans. Cancer Lett 2003;195:1-16
9. Herholz K, Heindel W, Luyten PR, et al. In vivo imaging of glucose consumption and lactate concentration in human gliomas. Ann Neurol 1992;31:319-27
10. Gillies RJ, Morse DL. In vivo magnetic resonance spectroscopy in cancer. Annu Rev Biomed Eng 2005;7:287-326
11. Howe FA, Barton SJ, Cudlip SA, et al. Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 2003;49:223-32
12. McBride DQ, Miller BL, Nikas DL, et al. Analysis of brain tumors using 1H magnetic resonance spectroscopy. Surg Neurol 1995;44:137-44
13. Nelson SJ, Vigneron DB, Dillon WP. Serial evaluation of patients with brain tumors using volume MRI and 3D 1H MRSI. NMR Biomed 1999;12:123-38
14. Nelson SJ. Analysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors. Magn Reson Med 2001;46:228-39
15. Gill SS, Thomas DG, Van Bruggen N, et al. Proton MR spectroscopy of intracranial tumours: in vivo and in vitro studies. J Comput Assist Tomogr 1990;14:497-504
16. Li X, Lu Y, Pirzkall A, et al. Analysis of the spatial characteristics of metabolic abnormalities in newly diagnosed glioma patients. J Magn Reson Imaging 2002;16:229-37
17. Jackson A, Jayson GC, Li KL, et al. Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma. Br J Radiol 2003;76:153-62
18. Law M, Cha S, Knopp EA, et al. High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging. Radiology 2002;222:715-21
19. Law M, Yang S, Wang H, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 2003;24:1989-98
20. Catalaa I, Henry R, Dillon WP, et al. Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas. NMR Biomed 2006;19:463-75
21. Li X, Vigneron DB, Lupo JM, et al. Relationship between lactate, choline, creatine, and perfusion parameters in newly diagnosed high grade gliomas. Proceedings from the 12th Annual International Society for Magnetic Resonance in Medicine Meeting. May 12-17, 2004; Kyoto, Japan
22. Fayed N, Modrego PJ. The contribution of magnetic resonance spectroscopy and echoplanar perfusion-weighted MRI in the initial assessment of brain tumours. J Neurooncol 2005;72:261-65
23. Cha S, Knopp EA, Johnson G, et al. Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging. Radiology 2002;223:11-29
24. Aronen HJ, Gazit IE, Louis DN, et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191:41-51
25. Griebel J, Mayr NA, de Vries A, et al. Assessment of tumor microcirculation: a new role of dynamic contrast MR imaging. J Magn Reson Imaging 1997;7:111-19
26. Guckel F, Brix G, Rempp K, et al. Assessment of cerebral blood volume with dynamic susceptibility contrast-enhanced gradient-echo imaging. J Comput Assist Tomogr 1994;18:344-51
27. Knopp EA, Cha S, Johnson G, et al. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 1999;211:791-98
28. Provenzale JM, Wang GR, Brenner T, et al. Comparison of permeability in high-grade and low-grade brain tumors using dynamic susceptibility contrast MR imaging. AJR Am J Roentgenol 2002;178:711-16
29. Law M, Yang S, Babb JS, et al. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-55
30. Lupo J, Cha S, Chang SM, et al. Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity. AJNR Am J Neuroradiol 2005;26:1446-54
31. Li X, Vigneron DB, Cha S, et al. Relationship of MR-derived lactate, mobile lipids, and relative blood volume for gliomas in vivo. AJNR Am J Neuroradiol 2005;26:760-69
32. Star-Lack J, Spielman D, Adalsteinsson E, et al. In vivo lactate editing with simultaneous detection of choline, creatine, NAA, and lipid singlets at 1.5 T using PRESS excitation with applications to the study of brain and head and neck tumors. J Magn Reson 1998;133:243-54
33. Li X, Graves EE, Vigneron DB, et al. Reliable estimate of lactate and lipid for newly-diagnosed glioma patients using lactate-edited 3D 1H-MRSI with ellipsoidal k-space sampling. Proceedings from the 11th Annual International Society for Magnetic Resonance in Medicine Meeting. July 2003; Toronto, ON, Canada
34. Tran TK, Vigneron DB, Sailasuta N, et al. Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer. Magn Reson Med 2000;43:23-33
35. Rueckert D, Sonoda LI, Hayes C, et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 1999;18:712-21
36. Studholme C, Hill D, Hawkes D. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognit 1999;32:71-86
37. Ozturk E, Chang SM, Nelson SJ. 3D 1H MRSI, MRI, and diffusion tensor imaging in newly-diagnosed patients with grade 3 brain tumors. Proceedings from the 12th Annual International Society for Magnetic Resonance in Medicine Meeting. May 15-21, 2004; Kyoto, Japan
38. Henry RG, Vigneron DB, Fischbein NJ, et al. Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. AJNR Am J Neu roradiol 2000;21:357-66
39. Pirzkall A, McKnight TR, Graves EE, et al. MR-spectroscopy guided target delineation for high-grade gliomas. Int J Radiat Oncol Biol Phys 2001;50:915-28
40. Nelson SJ, Graves E, Pirzkall A, et al. In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI. J Magn Reson Imaging 2002;16:464-76
41. Nelson SJ. Magnetic resonance spectroscopic imaging: evaluating responses to therapy for gliomas. IEEE Eng Med Biol Mag 2004;23:30-39