Differences in metabolism of fiber tract alterations in gliomas: A combined fiber density mapping and magnetic resonance spectroscopic imaging study

Neurosurgery

Volumn 71, Issue 2, 2012, Pages 454-463

  Stadlbauer, Andreas ^a   Hammen, Thilo ^b   Buchfelder, Michael ^a   Bachmair, Johanna ^b   Dörfler, Arnd ^a   Nimsky, Christopher ^c   Ganslandt, Oliver ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b MR Physics Group   (Austria)

^c PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Brain tumor; Diffusion tensor; Fiber density; Magnetic resonance spectroscopy

Indexed keywords

CHOLINE; N ACETYLASPARTIC ACID;

ADULT; ARTICLE; BRAIN MAPPING; CANCER PATIENT; CELL MEMBRANE; CELL PROLIFERATION; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; CORRELATIONAL STUDY; FEMALE; FIBER; GLIOBLASTOMA; HUMAN; MALE; METABOLISM; METABOLITE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; TREATMENT PLANNING;

ADOLESCENT; ADULT; AGED, 80 AND OVER; BRAIN NEOPLASMS; DIFFUSION TENSOR IMAGING; FEMALE; GLIOMA; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; MIDDLE AGED; NEOPLASM PROTEINS; NERVE FIBERS, MYELINATED; NERVE TISSUE PROTEINS; YOUNG ADULT;

EID: 84864285263     PISSN: 0148396X     EISSN: None     Source Type: Journal    
DOI: 10.1227/NEU.0b013e318258e332     Document Type: Article

References (47)

1. Jellison BJ, Field AS, Medow J, Lazar M, Salamat MS, Alexander AL. Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. AJNR Am J Neuroradiol. 2004;25(3): 356-369.
2. Clark CA, Barrick TR, Murphy MM, Bell BA. White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning? Neuroimage. 2003;20(3):1601-1608.
3. Mori S, Frederiksen K, van Zijl PC, et al. Brain white matter anatomy of tumor patients evaluated with diffusion tensor imaging. Ann Neurol. 2002;51(3): 377-380.
4. Stadlbauer A, Nimsky C, Buslei R, et al. Proton magnetic resonance spectroscopic imaging in the border zone of gliomas: correlation of metabolic and histological changes at low tumor infiltration: initial results. Invest Radiol. 2007;42(4): 218-223.
5. Stadlbauer A, Ganslandt O, Buslei R, et al. Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging. Radiology. 2006;240(3):803-810.
6. Field AS, Alexander AL, Wu YC, Hasan KM, Witwer B, Badie B. Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. J Magn Reson Imaging. 2004;20(4):555-562.
7. Schonberg T, Pianka P, Hendler T, Pasternak O, Assaf Y. Characterization of displaced white matter by brain tumors using combined DTI and fMRI. Neuroimage. 2006;30(4):1100-1111.
8. Tovi M. MR imaging in cerebral gliomas analysis of tumour tissue components. Acta Radiol Suppl. 1993;384(4):1-24.
9. Jones DK. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med. 2004;51(4):807-815.
10. Mori S, Barker PB. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec. 1999;257(3):102-109.
11. Le Bihan D, Mangin JF, Poupon C, et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging. 2001;13(4):534-546.
12. Hasan KM. Diffusion tensor eigenvalues or both mean diffusivity and fractional anisotropy are required in quantitative clinical diffusion tensor MR reports: fractional anisotropy alone is not sufficient. Radiology. 2006;239(2):611-612.
13. Hasan KM, Kamali A, Rollins NK. The need for spatially standardized methods in clinical applications of diffusion tensor imaging of white matter. Radiology. 2009; 253(2):571.
14. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med. 1996;36(6):893-906.
15. Basser PJ, Jones DK. Diffusion-tensor MRI: theory, experimental design and data analysis: a technical review. NMR Biomed. 2002;15(7-8):456-467.
16. Beaulieu C. The basis of anisotropic water diffusion in the nervous system: a technical review. NMR Biomed. 2002;15(7-8):435-455.
17. Conturo TE, Lori NF, Cull TS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci U S A. 1999;96(18):10422-10427.
18. Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol. 1999;45(2): 265-269.
19. Poupon C, Clark CA, Frouin V, et al. Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. Neuroimage. 2000;12(2): 184-195.
20. Stadlbauer A, Buchfelder M, Salomonowitz E, Ganslandt O. Fiber density mapping of gliomas: histopathologic evaluation of a diffusion-tensor imaging data processing method. Radiology. 2010;257(3):846-853.
21. Roberts TP, Liu F, Kassner A, Mori S, Guha A. Fiber density index correlates with reduced fractional anisotropy in white matter of patients with glioblastoma. AJNR Am J Neuroradiol. 2005;26(9):2183-2186.
22. Senft C, Hattingen E, Pilatus U, et al. Diagnostic value of proton magnetic resonance spectroscopy in the noninvasive grading of solid gliomas: comparison of maximum and mean choline values. Neurosurgery. 2009;65(5):908-913.
23. Majós C, Alonso J, Aguilera C, et al. Adult primitive neuroectodermal tumor: proton MR spectroscopic findings with possible application for differential diagnosis. Radiology. 2002;225(2):556-566.
24. Negendank WG, Sauter R, Brown TR, et al. Proton magnetic resonance spectroscopy in patients with glial tumors: a multicenter study. J Neurosurg. 1996;84(3):449-458.
25. Michaelis T, Merboldt KD, Bruhn H, Hnicke W, Frahm J. Absolute concentrations of metabolites in the adult human brain in vivo: quantification of localized proton MR spectra. Radiology. 1993;187(1):219-227.
26. Urenjak J, Williams SR, Gadian DG, Noble M. Proton nuclear magnetic resonance spectroscopy unambiguously identifies different neural cell types. J Neurosci. 1993;13(3):981-989.
27. Kemp GJ. Non-invasive methods for studying brain energy metabolism: what they show and what it means. Dev Neurosci. 2000;22(5-6):418-428.
28. Pouwels PJ, Brockmann K, Kruse B, et al. Regional age dependence of human brain metabolites from infancy to adulthood as detected by quantitative localized proton MRS. Pediatr Res. 1999;46(4):474-485.
29. Stadlbauer A, Prante O, Nimsky C, et al. Metabolic imaging of cerebral gliomas: spatial correlation of changes in O-(2-18F-fluoroethyl)-L-tyrosine PET and proton magnetic resonance spectroscopic imaging. J Nucl Med. 2008; 49(5):721-729.
30. Jiang H, van Zijl PC, Kim J, Pearlson GD, Mori S. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comput Methods Programs Biomed. 2006;81(2):106-116.
31. Stadlbauer A, Moser E, Gruber S, et al. Improved delineation of brain tumors: an automated method for segmentation based on pathologic changes of 1H-MRSI metabolites in gliomas. Neuroimage. 2004;23(2):454-461.
32. Stadlbauer A, Moser E, Gruber S, Nimsky C, Fahlbusch R, Ganslandt O. Integration of biochemical images of a tumor into frameless stereotaxy achieved using a magnetic resonance imaging/magnetic resonance spectroscopy hybrid data set. J Neurosurg. 2004;101(2):287-294.
33. Cízek J, Herholz K, Vollmar S, Schrader R, Klein J, Heiss WD. Fast and robust registration of PET and MR images of human brain. Neuroimage. 2004;22(1): 434-442.
34. Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med. 1993;30(6):672-679.
35. Stadlbauer A, Gruber S, Nimsky C, et al. Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology. 2006;238(3):958-969.
36. McLean MA, Woermann FG, Barker GJ, Duncan JS. Quantitative analysis of short echo time (1)H-MRSI of cerebral gray and white matter. Magn Reson Med. 2000;44(3):401-411.
37. Zou KH, Tuncali K, Silverman SG. Correlation and simple linear regression. Radiology. 2003;227(3):617-622.
38. Stadlbauer A, Hammen T, Grummich P, et al. Classification of peritumoral fiber tract alterations in gliomas using metabolic and structural neuroimaging. J Nucl Med. 2011;52(8):1227-1234.
39. Xu M, See SJ, Ng WH, et al. Comparison of magnetic resonance spectroscopy and perfusion-weighted imaging in presurgical grading of oligodendroglial tumors. Neurosurgery. 2005;56(5):919-926.
40. Goebell E, Paustenbach S, Vaeterlein O, et al. Low-grade and anaplastic gliomas: differences in architecture evaluated with diffusion-tensor MR imaging. Radiology. 2006;239(1):217-222.
41. Lu S, Ahn D, Johnson G, Law M, Zagzag D, Grossman RI. Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology. 2004;232(1):221-228.
42. Goebell E, Fiehler J, Ding XQ, et al. Disarrangement of fiber tracts and decline of neuronal density correlate in glioma patients: a combined diffusion tensor imaging and 1H-MR spectroscopy study. AJNR Am J Neuroradiol. 2006;27(7):1426-1431.
43. Keevil SF, Barbiroli B, Brooks JC, et al. Absolute metabolite quantification by in vivo NMR spectroscopy, II: a multicentre trial of protocols for in vivo localised proton studies of human brain. Magn Reson Imaging. 1998;16(9):1093-1106.
44. Soher BJ, Hurd RE, Sailasuta N, Barker PB. Quantitation of automated singlevoxel proton MRS using cerebral water as an internal reference. Magn Reson Med. 1996;36(3):335-339.
45. Helms G. A precise and user-independent quantification technique for regional comparison of single volume proton MR spectroscopy of the human brain. NMR Biomed. 2000;13(7):398-406.
46. Horská A, Calhoun VD, Bradshaw DH, Barker PB. Rapid method for correction of CSF partial volume in quantitative proton MR spectroscopic imaging. Magn Reson Med. 2002;48(3):555-558.
47. Kreher BW, Schneider JF, Mader I, Martin E, Hennig J, Il'yasov KA. Multitensor approach for analysis and tracking of complex fiber configurations. Magn Reson Med. 2005;54(5):1216-1225.