Abstract
The MR morphologic study, consisting of the acquisition of sequences without and with contrast agent, can be completed with new advanced MR techniques (spectroscopy, diffusion and perfusion), which are particularly useful in cases of diagnostic doubt. These techniques are not usually used in the evaluation of normal and pathologic sequelae after treatment, as these can be well documented with morphologic MR, but they become essential especially in combination when assessing treatment response. Their use is often essential in the differential diagnosis between scar tissue vs. residual tumor, stability vs. progression/recurrence and recurrence vs. radionecrosis.
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References
Howe FA, Opstad KS (2003) 1H MR spectroscopy of brain tumours and masses. NMR Biomed 16:123-131
Möller-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
Graves EE, Nelson SJ, Vigneron DB et al (2001) Serial proton MR spectroscopic imaging of recurrent malignant gliomas after gamma knife radiosurgery. AJNR 22:613-624
Tedeschi G, Lundbom N, Raman R et al (1997) Increased choline signal coinciding with malignant degeneration of cerebral gliomas: a serial proton magnetic resonance spectroscopy imaging study. J Neurosurg 87:516-524
Lichy MP, Bachert P, Hamprecht F et al (2006) Application of 1H-MRS spectroscopic imaging in radiation oncology: choline as a marker for determining the relative probability of tumor progression after radiation of glial brain tumors. Rofo 178:627-339
Murphy PS, Rowland IJ, Viviers L et al (2003) Could assessment of glioma methylene lipid resonance by in vivo 1H-MRS be of clinical value? Br J Radiol 76:459-463
Pirzkall A, Mcknight TR, Graves EE et al (2001) MR-spectroscopy guided target delineation for high-grade gliomas. Int J Radiat Oncol Biol Phys 50:915-928
Balmaceda C, Critchell D, Mao X et al (2006) Multisection 1H magnetic resonance spectroscopic imaging assessment of glioma response to chemiotherapy. J Neurooncol 76:185-191
Weybright P, Sundgren PC, Maly P et al (2005) Differentiation between brain tumor recurrence and radiation injury using MR spectroscopy. Am J Roentgenol 185:1471-1476
Zeng QS, Li CF, Zhang K et al (2007) Multivoxel 3D proton MR spectroscopy in the distinction of recurrent glioma from radiation injury. J Neurooncol 84:63-69
Rock JP, Scarpace L, Hearshen D et al (2004) Associations among magnetic resonance spectroscopy, apparent diffusion coefficients, and image-guided histopathology with special attention to radiation necrosis. Neurosurgery 54:1111-1117
Smith JS, Cha S, Mayo MC et al (2005) Serial diffusion-weighted magnetic resonance imaging in cases of glioma: distinguishing tumor recurrence from postresection injury. J Neurosurg 103:428-438
Ulmer S, Braga TA, Barker FG et al (2006) Clinical and radiographics features of peritumoral infarction following resection of glioblastoma. Neurology 67:1668-1670
Moffat BA, Chenevert TL, Lawrence TS et al (2005) Functional diffusion map: a non invasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci USA 102:5524-5529
Moffat BA, Chenevert TL, Meyer CR et al (2006) The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. Neoplasia 8:259-267
Hamstra DA, Galban CJ, Meyer CR et al (2008) Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 26:3387-3394
Asao CH, Korogi Y, Kitajima M et al (2005) Diffusion weighted imaging of radiation-induced brain injury for differentiation from tumor recurrence. AJNR 26:1455-1460
Hein PA, Eskey CJ, Dunn JF et al (2004) Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury. AJNR 25:201-209
Xu J-L, Li YL, Liam JM, et al (2010) Distinction between postoperative recurrent glioma and radiation injury using MR diffusion tensor imaging. Neuroradiology 52:1193-1199
Al Sayyari A, Buckley R, McHenery C et al (2011) Distinguishing recurrent primary brain tumor from radiation injury: a preliminary study using a susceptibility-weighted MR imaging-guided apparent diffusion coefficient analysis strategy. AJNR Am J Neuroradiol 31:1049-1054
Sudgren PC, Fan X, Weibright P et al (2006) Differentiation of recurrent brain tumor versus radiation injury using diffusion tensor imaging in patients with new contrast-enhancing lesions. Magn Reson Imaging 24:1131-1142
Leon SP, Folkerth RD, Black PM (1996) Microvessel density is a prognostic indicator for patients with astroglial brain tumors. Cancer 77:362-372
Covarrubias DJ, Rosen BR, Lev MH (2004) Dynamic magnetic resonance perfusion imaging of brain tumors. Oncologist 9:528-537
Chaskis C, Stadnik T, Michotte A et al (2006) Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study. Acta Neurochir 148:277-285
Sugahara T, Korogi Y, Tomiguchi S et al (2000) Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from non neoplastic contrast-enhancing tissue. AJNR 21:901-909
Prazincola L, Steno J, Srbecky M et al (2009) MR imaging of late radiation therapy- and chemiotherapy-induced injured: a pictorial essay. Eur Radiol 19:2716-2727
Barajas RF, Chang JS, Segal MS et al (2009) Differentiation of recurrent glioblastoma multiforme from radiation necrosis after external beam radiation therapy with dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 253:486-496
Tsien C, Galban CJ, Chenevert TL et al (2010) Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression on in high-grade glioma. J Clin Oncol 28:2293-2299
Di Costanzo A, Scarabino T, Trojsi F et al (2006) Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy. Neuroradiology 48:622-631
Zeng QS, Li CF, Liu H et al (2007) Distinction between recurrent glioma and radiation injury using magnetic resonance spectroscopy in combination with diffusion-weighted imaging. Int J Radiat Oncol Biol Phys 68:151-158
Bobek-Billewicz B, Stasik-Pres G, Majchrzak H et al (2010) Differentiation between brain tumor recurrence and radiation injury using perfusion, diffusion-weighted imaging and MR spectroscopy. Folia Neuropathol 48:81-92
Voglein J, Tuttenberg J, Weimer M et al (2011) Treatment monitoring in gliomas: comparisons of dynamic susceptibility-weighted contrast-enhanced and spectroscopic MRI techniques for identifying treatment failure. Invest Radiol 46:390-400
Kim YH, Oh SW, Lim YJ et al (2010) Differentiating radiation necrosis from tumor recurrence in high-grade gliomas: assessing the efficacy of 18F-FDG PET, 11 C-methionine PET and perfusion MRI. Clin Neurol Neurosurgery. 112:758-65
Prat R, Galeano I, Lucas A et al (2010) Relative value of magnetic resonance spectroscopy, magnetic resonance perfusion, and 2-(18F) fluoro-2-deoxy-D-glucose positron emission tomography for detection of recurrence or grade increase in gliomas. J Clin Neurosci 17:50-53
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Popolizio, T., Pollice, S., Scarabino, T. (2012). Advanced MR Imaging. In: Scarabino, T. (eds) Imaging Gliomas After Treatment. Springer, Milano. https://doi.org/10.1007/978-88-470-2370-3_10
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DOI: https://doi.org/10.1007/978-88-470-2370-3_10
Publisher Name: Springer, Milano
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