Morphological assessment using Computed Tomo-graphy (CT) or Magnetic Resonance Imaging (MRI) is still the workhorse of tumor detection and diagnosis. In particular, MRI provides detailed information about cerebral tumor anatomy, cellular metabolism and hemodynamic features, making it a fundamental tool for a correct diagnosis, treatment and monitoring of the disease. Various new functional imaging modalities assessing tissue microstructure and physiology have increased the scope of neuro imaging and raised expectations among clinicians. This article provides an overview of t he most advanced MR im aging techniques (functional MRI, perfusion-weighted imaging, diffusion-weighted imaging and MR spectroscopy) now available for neurosurgical planning and their role in brain tumors assessment. Their pros and cons are analyzed in order to find out which one may be chosen as best diagnostic pre-surgical protocol. At the moment none of the single techniques can be considered the golden standard; only the integration of advanced and conventional MR imaging proves to be a reliable tool in the hands of the neuro-radiologist and neurosurgeon, thus maximazing tumor resection and function preservation.
Haberg, A., Kvistad, K.A., Unsgard, G. and Haraldseth, O. (2004) Preoperative blood oxy-gen level-dependent functional magnetic resonance imaging in patients with pri- mary brain tumors: Clinical application and outcome. Neurosurgery, 54, 902-914. doi:10.1227/01.NEU.0000114510.05922.F8
Petrella, J.R., Shah, L.M., Harris, K.M., et al. (2006) Preoperative functional MR imaging localization of language and motor areas: Effect on therapeutic decision making in patients with potentially resectable brain tumors. Radiology, 240, 793-802. doi:10.1148/radiol.2403051153
Sunaert, S. (2006) Pre-surgical planning for tumor resectioning. Journal of Magnetic Resonance Imaging, 23, 887- 905. doi:10.1002/jmri.20582
Haberg, A., Kvistad, K.A., Unsgard, G. and Haraldseth, O. (2004) Preoperative blood oxygen level-dependent functional magnetic resonance imaging in patients with primary brain tumors: Clinical application and outcome. Neurosurgery, 54, 902-914. doi:10.1227/01.NEU.0000114510.05922.F8
Rasmussen, Jr., I.A., Lindseth, F., Rygh, O.M., Berntsen, E.M., Selbekk, T., Xu, J., Nagelhus, H.T.A., Harg, E., Haberg, A. and Unsgaard (2007) Functional neuro-navigation combined G. with intra-operative 3D ultra-sound: Initial experiences during surgical resections close to eloquent brain areas and future directions in automatic brain shift compensation of preoperative data. Acta Neurochir (Wien), 149, 365-378. doi:10.1007/s00701-006-1110-0
Lee, C.C., Ward, H.A., Sharbrough, F.W., Meyer, F.B., Marsh, W.R., Raffel, C., So, E.L., Cascino, G.D., Shin, C., Xu, Y., Riederer, S.J. and Clifford, Jr., J.R. (1999) Assessment of functional MR Imaging in neurosurgical planning. Brain. American Journal of Neurora-diology, 20, 1511-1519.
Stippich, C., Rapps, N., Drey-haupt, J., et al. (2007) Lo- calizing and lateralizing language in patients with brain tumors: Feasibility of routine preoperative functional MR imaging in 81 consecutive patients. Radiology, 243, 828- 836. doi:10.1148/radiol.2433060068
Seghier, M.L., Lazeyras, F., Pegna, A.J., Zimine, I., Dela, V.J., Mayer, E., Annoni, J.M. and Khateb, A. (2001) fMRI on patients with lesions involving language areas: Implications for neurosurgery. NeuroImage, 13, 836. doi:10.1016/S1053-8119(01)92178-0
Savoy, R.L. (2001) History and future directions of human brain mapping and functional neuroimaging. Acta Psychologica, 107, 9-42. doi:10.1016/S0001-6918(01)00018-X
Atlas, S.W., Howard II, R.S., Maldijian, J, Alsop, D., Detre, J.A., Listerud, J., D’Esposito, M., Judy, K.D., Zager, E. and Stecker, M. (1996) Functional magnetic resonance imaging of regional brain activity in patients with intracerebral gliomas: Findings and implications for clinical management. Neurosurgery, 38, 329-338. doi:10.1097/00006123-199602000-00019
Briganti, C., Sestieri, P.A., Mattei, R., et al. (2012) Reorganization of functional connectivity of the language network in patients with brain gliomas. American Journal of Neuroradiology, 34, 1.
Binder, J.R., Swanson, S.J., Hammeke, T.A., Morris, G.L., Mueller, W.M., Fischer, M., Benbadis, S., Frost, J.A., Rao, S.M. and Haughton, V.M. (1996) Determination of language dominance using functional MRI: A comparison with the Wada test. Neurology, 46, 978-984. doi:10.1212/WNL.46.4.978
Knecht, S., Drager, B., Deppe, M., Lohmann, H., Floel, A., Ringelstein, E.B. and Henningsen, H. (2000) Handedness and hemispheric language dominance in healthy humans. Brain, 123, 2512-2518. doi:10.1093/brain/123.12.2512
Chenevert, T.L., Sundgren, P.C. and Ross, B.D. (2006) Diffusion imaging: Insight to cell status and cytoarchitecture. Neuroimaging Clinics of North America, 16, 619- 632. doi:10.1016/j.nic.2006.06.005
Pierpaoli, C. and Basser, P.J. (1996) Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine, 36, 893-906. doi:10.1002/mrm.1910360612
Basser, P.J. (1995) Infer-ring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR in Biomedicine, 8, 333-344. doi:10.1002/nbm.1940080707
Murakami, R., Sugahara, T., Nakamura, H., et al. (2007) Malignant supratentorial astro-cytoma treated with post-operative radiation therapy: Prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology, 243, 493-499. doi:10.1148/radiol.2432060450
Field, A.S., Alexander, A.L., Wu, Y.C., et al. (2004) Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. Journal of Magnetic Resonance Imaging, 20, 555-562. doi:10.1002/jmri.20169
Mori, S., Frederiksen, K., van Zijl, P.C., et al. (2002) Brain white matter anatomy of tumor patients evaluated with diffusion tensor imaging. Annals of Neurology, 51, 377-380. doi:10.1002/ana.10137
Clark, C.A., Barrick, T.R., Murphy, M.M. and Bell, B.A. (2003) White matter fiber tracking in patients with space-occupying lesions of the brain: A new technique for neurosurgical planning? NeuroImage, 20, 1601-1608. doi:10.1016/j.neuroimage.2003.07.022
Coenen, V.A., Krings, T., Mayfrank, L., Polin, R.S., Reinges, M.H., Thron, A. and Gilsbach, J.M. (2001) Three-dimensional visualization of the pyramidal tract in a neuronavigation system during brain tumor surgery: First experiences and technical note. Neurosurgery, 49, 86-93.
Alexander, A.L., Badie, B. and Field, A.S. (2003) Diffusion tensor MRI depicts white matter reorganization after surgery. Proceedings of the ISMRM 11th Scientific Meeting, Berkeley, International Society of Magnetic Resonance in Medicine.
Lu, S., Ahn, D., Johnson, G. and Cha, S. (2003) Peritu-moral diffusion tensor imaging of high grade gliomas and metastatic brain tumors. American Journal of Neurora-diology, 24, 937-941.
Yamada, K., Kizu, O., Mori, S., et al. (2003) Brain fiber tracking with clinically feasible diffusion-tensor MR imaging: Initial experience. Radiology, 227, 295-301. doi:10.1148/radiol.2271020313
Tropine, A., Vucurevic, G., Delani, P., et al. (2004) Contribution of diffusion tensor imaging to delineation of gliomas and glioblastomas. Journal of Magnetic Reso- nance Imaging, 20, 905-912. doi:10.1002/jmri.20217
Morita, K., Matsuzawa, H., Fujii, Y., Tanaka, R., Kwee, I.L. and Nakada, T. (2005) Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema. Journal of Neurosurgery, 102, 336-341. doi:10.3171/jns.2005.102.2.0336
Nimsky, C., Ganslandt, O. and Fahlbusch, R. (2005) Intraoperative diffusion-tensor MR imaging: Shifting of white matter tracts during neurosurgical procedures—Initial experience. Radiology, 234, 218-225. doi:10.1148/radiol.2341031984
Nimsky, C., Gaslandt, O., Merfhor, D., et al. (2006) Intra-operative visualization of pyramidal tract by diffusion- tensor-imaging-based fiber tracking. NeuroImage, 30, 1219- 1229. doi:10.1016/j.neuroimage.2005.11.001
Lu, S., Ahn, D., Johnson, G., Law, M., Zagzag, D. and Grossman, R.I. (2004) Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: Introduction of the tumor infiltration index. Radiology, 232, 221-228. doi:10.1148/radiol.2321030653
Kamada, K., Houkin, K., Takeuchi, F., Ishii, N., Ikeda, J., Sawamura, Y., Kuriki, S., Kawaguchi, H. and Iwasaki, Y. (2003) Visualization of the eloquent motor system by integration of MEG, functional, and anisotropic diffusion- weighted MRI in functional neuronavigation. Surgical Neurology, 59, 352-362. doi:10.1016/S0090-3019(03)00018-1
Fan, G.G., Deng, Q.L., Wu, Z.H. and Guo, Q.Y. (2006) Usefulness of diffusion/perfusion-weighted MRI in patients with nonenhancing supratentorial brain gliomas: A valuable tool to predict tumour grading? British Journal of Radiology, 79, 652-658. doi:10.1259/bjr/25349497
Law, M., Oh, S., Babb, J.S., et al. (2006) Low-grade gliomas: Dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging: Prediction of patient clinical response. Radiology, 238, 658-667. doi:10.1148/radiol.2382042180
Roberts, H.C., Roberts, T.P., Bollen, A.W., Ley, S., Brasch, R.C. and Dillon, W.P. (2001) Correlation of microvascular permeability derived from dynamic contrast-enhanced MR imaging with histologic grade and tumor labeling index: A study in human brain tumors. Academic Radiology, 8, 384-391. doi:10.1016/S1076-6332(03)80545-7
Provenzale, J.M., York, G., Moya, M.G., Parks, L., Choma, M., Kealey, S., Cole, P. and Serajuddin, H. (2006) Correlation of relative permeability and relative cerebral blood volume in high-grade cerebral neoplasms. American Journal of Roentgenology, 187, 1036-1042. doi:10.2214/AJR.04.0676
Covarubbias, D.J., Rosen, B.R. and Lev, M.H. (2004) Dynamic magnetic resonance perfusion imaging of brain tumors. The Oncologist, 9, 528-537. doi:10.1634/theoncologist.9-5-528
Sibtain, N.A., Howe, F.A. and Saunders, D.E. (2007) The clinical value of proton magnetic resonance spectroscopy in adult brain tumours. Clinical Radiology, 62, 109-111. doi:10.1016/j.crad.2006.09.012
Vuori, K., Kankaanranta, L., H?kkinen, A.M., Gaily, E., et al. (2004) Low-Grade gliomas and focal cortical developmental malformations: Differentiation with proton MR spectroscopy. Radiology, 230, 703-708. doi:10.1148/radiol.2303021804
Fan, G., Sun, B., Wu, Z., Guo, Q. and Guo, Y. (2004) In vivo single-voxel proton MR spectroscopy in the differentiation of high-grade gliomas and solitary metastases. Clinical Radiology, 59, 77-85. doi:10.1016/j.crad.2003.08.006
Howe, F.A., Barton, S.J., Cudlip, S.A., et al. (2003) Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magnetic Resonance in Medicine, 49, 223-232. doi:10.1002/mrm.10367
Law, M., Cha, S., Knopp, E.A., Johnson, G., Arnett, J. and Litt, A.W. (2002) High-grade gli-omas and solitary metastases: Differentiation by using perfusion and proton spectroscopic MR imaging. Radiology, 222, 715-721. doi:10.1148/radiol.2223010558
Moller-Hartmann, W., Herminghaus, S., Krings, T., et al. (2002) Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions. Neuroradiology, 44, 371-381. doi:10.1007/s00234-001-0760-0
Majos, C., Alonso, J., Aguilera, C., et al. (2003) Proton magnetic resonance spectroscopy ((1)H MRS) of human brain tumours: Assessment of differences between tumour types and its applicability in brain tumour categorization. European Radiology, 13, 582-591.
Harting, I., Hartmann, M., Jost, G., et al. (2003) Differentiating primary central nervous system lymphoma from glioma in humans using localised proton magnetic resonance spectroscopy. Neuroscience Letters, 342, 163-166. doi:10.1016/S0304-3940(03)00272-6
Castillo, M., Smith, J.K. and Kwock, L. (2000) Correlation of myo-inositol levels and grading of cerebral astro-cytomas. American Journal of Neuroradiology, 21, 1645- 1649.
Galanaud, D., Nicoli, F., Chinot, O., et al. (2006) Nonin-vasive diagnostic assessment of brain tumors using combined in vivo MR imaging and spectroscopy. Magnetic Resonance in Medicine, 55, 1236-1245. doi:10.1002/mrm.20886
Moller-Hartmann, W., Her-minghaus, S., Krings, T., et al. (2002) Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions. Neuroradiology, 44, 371-381. doi:10.1007/s00234-001-0760-0
Stadlbauer, A., Gruber, S., Nimski, C., et al. (2006) Pre-operative grading of gliomas using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology, 238, 958-969. doi:10.1148/radiol.2382041896