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Erschienen in: Journal of Neuro-Oncology 3/2015

01.12.2015 | Topic Review & Clinical Guidelines

The role of imaging in the management of adults with diffuse low grade glioma

A systematic review and evidence-based clinical practice guideline

verfasst von: Sarah Jost Fouke, Tammie Benzinger, Daniel Gibson, Timothy C. Ryken, Steven N. Kalkanis, Jeffrey J. Olson

Erschienen in: Journal of Neuro-Oncology | Ausgabe 3/2015

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Abstract

Question

What is the optimal imaging technique to be used in the diagnosis of a suspected low grade glioma, specifically: which anatomic imaging sequences are critical for most accurately identifying or diagnosing a low grade glioma (LGG) and do non-anatomic imaging methods and/or sequences add to the diagnostic specificity of suspected low grade gliomas?

Target population

These recommendations apply to adults with a newly diagnosed lesion with a suspected or histopathologically proven LGG.

Recommendation

Level II

In patients with a suspected brain tumor, the minimum magnetic resonance imaging (MRI) exam should be an anatomic exam with both T2 weighted and pre- and post-gadolinium contrast enhanced T1 weighted imaging.

Critical imaging for the identification and diagnosis of low grade glioma

Level II

In patients with a suspected brain tumor, anatomic imaging sequences should include T1 and T2 weighted and Fluid Attenuation Inversion Recovery (FLAIR) MR sequences and will include T1 weighted imaging after the administration of gadolinium based contrast. Computed tomography (CT) can provide additional information regarding calcification or hemorrhage, which may narrow the differential diagnosis. At a minimum, these anatomic sequences can help identify a lesion as well as its location, and potential for surgical intervention.

Improvement of diagnostic specificity with the addition of non-anatomic (physiologic and advanced imaging) to anatomic imaging

Level II

Class II evidence from multiple studies and a significant number of Class III series support the addition of diffusion and perfusion weighted MR imaging in the assessment of suspected LGGs, for the purposes of discriminating the potential for tumor subtypes and identification of suspicion of higher grade diagnoses.

Level III

Multiple series offer Class III evidence to support the potential for magnetic resonance spectroscopy (MRS) and nuclear medicine methods including positron emission tomography and single-photon emission computed tomography imaging to offer additional diagnostic specificity although these are less well defined and their roles in clinical practice are still being defined.

Question

Which imaging sequences or parameters best predict the biological behavior or prognosis for patients with LGG?

Target population

These recommendations apply to adults with a newly diagnosed lesion with a suspected or histopathologically proven LGG.

Recommendation

Anatomic and advanced imaging methods and prognostic stratification

Level III

Multiple series suggest a role for anatomic and advanced sequences to suggest prognostic stratification among low grade gliomas. Perfusion weighted imaging, particularly when obtained as a part of diagnostic evaluation (as recommended above) can play a role in consideration of prognosis. Other imaging sequences remain investigational in terms of their role in consideration of tumor prognosis as there is insufficient evidence to support more formal recommendations as to their use at this time.

Question

What is the optimal imaging technique to be used in the follow-up of a suspected (or biopsy proven) LGG?

Target population

This recommendation applies to adults with a newly diagnosed low grade glioma.

Recommendations

Level II

In patients with a diagnosis of LGG, anatomic imaging sequences should include T2/FLAIR MR sequences and T1 weighted imaging before and after the administration of gadolinium based contrast. Serial imaging should be performed to identify new areas of contrast enhancement or significant change in tumor size, which may signify transformation to a higher grade.

Level III

Advanced imaging utility may depend on tumor subtype. Multicenter clinical trials with larger cohorts are needed. For astrocytic tumors, baseline and longitudinal elevations in tumor perfusion as assessed by dynamic susceptibility contrast perfusion MRI are associated with shorter time to tumor progression, but can be difficult to standardize in clinical practice. For oligodendrogliomas and mixed gliomas, MRS may be helpful for identification of progression.
Literatur
5.
Zurück zum Zitat Lote K, Egeland T, Hager B, Skullerud K, Hirschberg H (1998) Prognostic significance of CT contrast enhancement within histological subgroups of intracranial glioma. J Neurooncol 40:161–170CrossRefPubMed Lote K, Egeland T, Hager B, Skullerud K, Hirschberg H (1998) Prognostic significance of CT contrast enhancement within histological subgroups of intracranial glioma. J Neurooncol 40:161–170CrossRefPubMed
6.
Zurück zum Zitat Berger MS, Rostomily RC (1997) Low grade gliomas: functional mapping resection strategies, extent of resection, and outcome. J Neurooncol 34:85–101CrossRefPubMed Berger MS, Rostomily RC (1997) Low grade gliomas: functional mapping resection strategies, extent of resection, and outcome. J Neurooncol 34:85–101CrossRefPubMed
7.
Zurück zum Zitat Mihara F, Numaguchi Y, Rothman M, Sato S, Fiandaca MS (1995) MR imaging of adult supratentorial astrocytomas: an attempt of semi-automatic grading. Radiat Med 13:5–9PubMed Mihara F, Numaguchi Y, Rothman M, Sato S, Fiandaca MS (1995) MR imaging of adult supratentorial astrocytomas: an attempt of semi-automatic grading. Radiat Med 13:5–9PubMed
8.
Zurück zum Zitat Price SJ (2010) Advances in imaging low-grade gliomas. Adv Tech Stand Neurosurg 35:1–34PubMed Price SJ (2010) Advances in imaging low-grade gliomas. Adv Tech Stand Neurosurg 35:1–34PubMed
9.
Zurück zum Zitat Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D (2003) Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. Am J Neuroradiol 24:1989–1998PubMed Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D (2003) Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. Am J Neuroradiol 24:1989–1998PubMed
11.
Zurück zum Zitat Nguyen TB, Cron GO, Mercier JF, Foottit C, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Caudrelier JM, Sinclair J, Hogan MJ, Thornhill RE, Cameron IG (2012) Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas. AJNR Am J Neuroradiol 33:1539–1545. doi:10.3174/ajnr.A3012 CrossRefPubMed Nguyen TB, Cron GO, Mercier JF, Foottit C, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Caudrelier JM, Sinclair J, Hogan MJ, Thornhill RE, Cameron IG (2012) Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas. AJNR Am J Neuroradiol 33:1539–1545. doi:10.​3174/​ajnr.​A3012 CrossRefPubMed
12.
Zurück zum Zitat Arvinda HR, Kesavadas C, Sarma PS, Thomas B, Radhakrishnan VV, Gupta AK, Kapilamoorthy TR, Nair S (2009) Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging. J Neurooncol 94:87–96. doi:10.1007/s11060-009-9807-6 CrossRefPubMed Arvinda HR, Kesavadas C, Sarma PS, Thomas B, Radhakrishnan VV, Gupta AK, Kapilamoorthy TR, Nair S (2009) Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging. J Neurooncol 94:87–96. doi:10.​1007/​s11060-009-9807-6 CrossRefPubMed
13.
Zurück zum Zitat Warmuth C, Gunther M, Zimmer C (2003) Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology 228:523–532. doi:10.1148/radiol.2282020409 CrossRefPubMed Warmuth C, Gunther M, Zimmer C (2003) Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology 228:523–532. doi:10.​1148/​radiol.​2282020409 CrossRefPubMed
14.
16.
Zurück zum Zitat Fan GG, Deng QL, Wu ZH, Guo QY (2006) Usefulness of diffusion/perfusion-weighted MRI in patients with non-enhancing supratentorial brain gliomas: a valuable tool to predict tumour grading? Br J Radiol 79:652–658. doi:10.1259/bjr/25349497 CrossRefPubMed Fan GG, Deng QL, Wu ZH, Guo QY (2006) Usefulness of diffusion/perfusion-weighted MRI in patients with non-enhancing supratentorial brain gliomas: a valuable tool to predict tumour grading? Br J Radiol 79:652–658. doi:10.​1259/​bjr/​25349497 CrossRefPubMed
17.
18.
Zurück zum Zitat Morita N, Wang S, Chawla S, Poptani H, Melhem ER (2010) Dynamic susceptibility contrast perfusion weighted imaging in grading of nonenhancing astrocytomas. J Magn Reson Imaging 32:803–808. doi:10.1002/jmri.22324 CrossRefPubMed Morita N, Wang S, Chawla S, Poptani H, Melhem ER (2010) Dynamic susceptibility contrast perfusion weighted imaging in grading of nonenhancing astrocytomas. J Magn Reson Imaging 32:803–808. doi:10.​1002/​jmri.​22324 CrossRefPubMed
20.
Zurück zum Zitat Law M, Oh S, Babb JS, Wang E, Inglese M, Zagzag D, Knopp EA, Johnson G (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 CrossRefPubMed Law M, Oh S, Babb JS, Wang E, Inglese M, Zagzag D, Knopp EA, Johnson G (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 CrossRefPubMed
21.
Zurück zum Zitat Ding B, Ling HW, Chen KM, Jiang H, Zhu YB (2006) Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging. Neuroradiology 48:773–781. doi:10.1007/s00234-006-0120-1 CrossRefPubMed Ding B, Ling HW, Chen KM, Jiang H, Zhu YB (2006) Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging. Neuroradiology 48:773–781. doi:10.​1007/​s00234-006-0120-1 CrossRefPubMed
22.
Zurück zum Zitat Maia AC Jr, Malheiros SM, da Rocha AJ, da Silva CJ, Gabbai AA, Ferraz FA, Stavale JN (2005) MR cerebral blood volume maps correlated with vascular endothelial growth factor expression and tumor grade in nonenhancing gliomas. Am J Neuroradiol 26:777–783PubMed Maia AC Jr, Malheiros SM, da Rocha AJ, da Silva CJ, Gabbai AA, Ferraz FA, Stavale JN (2005) MR cerebral blood volume maps correlated with vascular endothelial growth factor expression and tumor grade in nonenhancing gliomas. Am J Neuroradiol 26:777–783PubMed
23.
Zurück zum Zitat Lev MH, Ozsunar Y, Henson JW, Rasheed AA, Barest GD, Harsh GRT, Fitzek MM, Chiocca EA, Rabinov JD, Csavoy AN, Rosen BR, Hochberg FH, Schaefer PW, Gonzalez RG (2004) Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected]. Am J Neuroradiol 25:214–221PubMed Lev MH, Ozsunar Y, Henson JW, Rasheed AA, Barest GD, Harsh GRT, Fitzek MM, Chiocca EA, Rabinov JD, Csavoy AN, Rosen BR, Hochberg FH, Schaefer PW, Gonzalez RG (2004) Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected]. Am J Neuroradiol 25:214–221PubMed
24.
Zurück zum Zitat Spampinato MV, Smith JK, Kwock L, Ewend M, Grimme JD, Camacho DL, Castillo M (2007) Cerebral blood volume measurements and proton MR spectroscopy in grading of oligodendroglial tumors. Am J Roentgenol 188:204–212. doi:10.2214/ajr.05.1177 CrossRef Spampinato MV, Smith JK, Kwock L, Ewend M, Grimme JD, Camacho DL, Castillo M (2007) Cerebral blood volume measurements and proton MR spectroscopy in grading of oligodendroglial tumors. Am J Roentgenol 188:204–212. doi:10.​2214/​ajr.​05.​1177 CrossRef
25.
Zurück zum Zitat Emblem KE, Scheie D, Due-Tonnessen P, Nedregaard B, Nome T, Hald JK, Beiske K, Meling TR, Bjornerud A (2008) Histogram analysis of MR imaging-derived cerebral blood volume maps: combined glioma grading and identification of low-grade oligodendroglial subtypes. Am J Neuroradiol 29:1664–1670. doi:10.3174/ajnr.A1182 CrossRefPubMed Emblem KE, Scheie D, Due-Tonnessen P, Nedregaard B, Nome T, Hald JK, Beiske K, Meling TR, Bjornerud A (2008) Histogram analysis of MR imaging-derived cerebral blood volume maps: combined glioma grading and identification of low-grade oligodendroglial subtypes. Am J Neuroradiol 29:1664–1670. doi:10.​3174/​ajnr.​A1182 CrossRefPubMed
26.
Zurück zum Zitat Narang J, Jain R, Scarpace L, Saksena S, Schultz LR, Rock JP, Rosenblum M, Patel SC, Mikkelsen T (2011) Tumor vascular leakiness and blood volume estimates in oligodendrogliomas using perfusion CT: an analysis of perfusion parameters helping further characterize genetic subtypes as well as differentiate from astroglial tumors. J Neurooncol 102:287–293. doi:10.1007/s11060-010-0317-3 CrossRefPubMed Narang J, Jain R, Scarpace L, Saksena S, Schultz LR, Rock JP, Rosenblum M, Patel SC, Mikkelsen T (2011) Tumor vascular leakiness and blood volume estimates in oligodendrogliomas using perfusion CT: an analysis of perfusion parameters helping further characterize genetic subtypes as well as differentiate from astroglial tumors. J Neurooncol 102:287–293. doi:10.​1007/​s11060-010-0317-3 CrossRefPubMed
27.
Zurück zum Zitat Chaskis C, Stadnik T, Michotte A, Van Rompaey K, D’Haens J (2006) Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study. Acta neurochirurgica 148: 277-285; discussion 285 doi:10.1007/s00701-005-0718-9 Chaskis C, Stadnik T, Michotte A, Van Rompaey K, D’Haens J (2006) Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study. Acta neurochirurgica 148: 277-285; discussion 285 doi:10.​1007/​s00701-005-0718-9
29.
Zurück zum Zitat Server A, Kulle B, Gadmar OB, Josefsen R, Kumar T, Nakstad PH (2011) Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Eur J Radiol 80:462–470. doi:10.1016/j.ejrad.2010.07.017 CrossRefPubMed Server A, Kulle B, Gadmar OB, Josefsen R, Kumar T, Nakstad PH (2011) Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Eur J Radiol 80:462–470. doi:10.​1016/​j.​ejrad.​2010.​07.​017 CrossRefPubMed
30.
Zurück zum Zitat Tozer DJ, Jager HR, Danchaivijitr N, Benton CE, Tofts PS, Rees JH, Waldman AD (2007) Apparent diffusion coefficient histograms may predict low-grade glioma subtype. NMR Biomed 20:49–57. doi:10.1002/nbm.1091 CrossRefPubMed Tozer DJ, Jager HR, Danchaivijitr N, Benton CE, Tofts PS, Rees JH, Waldman AD (2007) Apparent diffusion coefficient histograms may predict low-grade glioma subtype. NMR Biomed 20:49–57. doi:10.​1002/​nbm.​1091 CrossRefPubMed
31.
34.
Zurück zum Zitat Lee EJ, Lee SK, Agid R, Bae JM, Keller A, Terbrugge K (2008) Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient. Am J Neuroradiol 29:1872–1877. doi:10.3174/ajnr.A1254 CrossRefPubMed Lee EJ, Lee SK, Agid R, Bae JM, Keller A, Terbrugge K (2008) Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient. Am J Neuroradiol 29:1872–1877. doi:10.​3174/​ajnr.​A1254 CrossRefPubMed
36.
Zurück zum Zitat Jolapara M, Patro SN, Kesavadas C, Saini J, Thomas B, Gupta AK, Bodhey N, Radhakrishnan VV (2011) Can diffusion tensor metrics help in preoperative grading of diffusely infiltrating astrocytomas? A retrospective study of 36 cases. Neuroradiology 53:63–68. doi:10.1007/s00234-010-0761-y CrossRefPubMed Jolapara M, Patro SN, Kesavadas C, Saini J, Thomas B, Gupta AK, Bodhey N, Radhakrishnan VV (2011) Can diffusion tensor metrics help in preoperative grading of diffusely infiltrating astrocytomas? A retrospective study of 36 cases. Neuroradiology 53:63–68. doi:10.​1007/​s00234-010-0761-y CrossRefPubMed
37.
Zurück zum Zitat White ML, Zhang Y, Yu F, Jaffar Kazmi SA (2011) Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics. Am J Neuroradiol 32:374–381. doi:10.3174/ajnr.A2267 CrossRefPubMed White ML, Zhang Y, Yu F, Jaffar Kazmi SA (2011) Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics. Am J Neuroradiol 32:374–381. doi:10.​3174/​ajnr.​A2267 CrossRefPubMed
38.
Zurück zum Zitat Bulakbasi N, Kocaoglu M, Ors F, Tayfun C, Ucoz T (2003) Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors. AJNR 24:225–233PubMed Bulakbasi N, Kocaoglu M, Ors F, Tayfun C, Ucoz T (2003) Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors. AJNR 24:225–233PubMed
39.
Zurück zum Zitat Senft C, Hattingen E, Pilatus U, Franz K, Schanzer A, Lanfermann H, Seifert V, Gasser T (2009) Diagnostic value of proton magnetic resonance spectroscopy in the noninvasive grading of solid gliomas: comparison of maximum and mean choline values. Neurosurgery 65: 908-913; discussion 913 doi:10.1227/01.neu.0000356982.82378.ba Senft C, Hattingen E, Pilatus U, Franz K, Schanzer A, Lanfermann H, Seifert V, Gasser T (2009) Diagnostic value of proton magnetic resonance spectroscopy in the noninvasive grading of solid gliomas: comparison of maximum and mean choline values. Neurosurgery 65: 908-913; discussion 913 doi:10.​1227/​01.​neu.​0000356982.​82378.​ba
42.
Zurück zum Zitat Liu ZL, Zhou Q, Zeng QS, Li CF, Zhang K (2012) Noninvasive evaluation of cerebral glioma grade by using diffusion-weighted imaging-guided single-voxel proton magnetic resonance spectroscopy. J Int Med Res 40(1):76–84CrossRefPubMed Liu ZL, Zhou Q, Zeng QS, Li CF, Zhang K (2012) Noninvasive evaluation of cerebral glioma grade by using diffusion-weighted imaging-guided single-voxel proton magnetic resonance spectroscopy. J Int Med Res 40(1):76–84CrossRefPubMed
43.
Zurück zum Zitat Delbeke D, Meyerowitz C, Lapidus RL, Maciunas RJ, Jennings MT, Moots PL, Kessler RM (1995) Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET. Radiology 195:47–52CrossRefPubMed Delbeke D, Meyerowitz C, Lapidus RL, Maciunas RJ, Jennings MT, Moots PL, Kessler RM (1995) Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET. Radiology 195:47–52CrossRefPubMed
44.
Zurück zum Zitat Stockhammer F, Thomale UW, Plotkin M, Hartmann C, Von Deimling A (2007) Association between fluorine-18-labeled fluorodeoxyglucose uptake and 1p and 19q loss of heterozygosity in World Health Organization Grade II gliomas. J Neurosurg 106:633-637 doi:10.3171/jns.2007.106.4.633 CrossRefPubMed Stockhammer F, Thomale UW, Plotkin M, Hartmann C, Von Deimling A (2007) Association between fluorine-18-labeled fluorodeoxyglucose uptake and 1p and 19q loss of heterozygosity in World Health Organization Grade II gliomas. J Neurosurg 106:633-637 doi:10.​3171/​jns.​2007.​106.​4.​633 CrossRefPubMed
45.
Zurück zum Zitat Singhal T, Narayanan TK, Jacobs MP, Bal C, Mantil JC (2012) 11C-methionine PET for grading and prognostication in gliomas: a comparison study with 18F-FDG PET and contrast enhancement on MRI. J Nucl Med 53:1709–1715. doi:10.2967/jnumed.111.102533 CrossRefPubMed Singhal T, Narayanan TK, Jacobs MP, Bal C, Mantil JC (2012) 11C-methionine PET for grading and prognostication in gliomas: a comparison study with 18F-FDG PET and contrast enhancement on MRI. J Nucl Med 53:1709–1715. doi:10.​2967/​jnumed.​111.​102533 CrossRefPubMed
46.
Zurück zum Zitat Roessler K, Nasel C, Czech T, Matula C, Lassmann H, Koos WT (1996) Histological heterogeneity of neuroradiologically suspected adult low grade gliomas detected by Xenon enhanced computerized tomography (CT). Acta Neurochir (Wien) 138:1341–1347CrossRef Roessler K, Nasel C, Czech T, Matula C, Lassmann H, Koos WT (1996) Histological heterogeneity of neuroradiologically suspected adult low grade gliomas detected by Xenon enhanced computerized tomography (CT). Acta Neurochir (Wien) 138:1341–1347CrossRef
47.
Zurück zum Zitat Kunz M, Thon N, Eigenbrod S, Hartmann C, Egensperger R, Herms J, Geisler J, la Fougere C, Lutz J, Linn J, Kreth S, von Deimling A, Tonn JC, Kretzschmar HA, Popperl G, Kreth FW (2011) Hot spots in dynamic (18)FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas. Neuro Oncol 13:307–316. doi:10.1093/neuonc/noq196 PubMedCentralCrossRefPubMed Kunz M, Thon N, Eigenbrod S, Hartmann C, Egensperger R, Herms J, Geisler J, la Fougere C, Lutz J, Linn J, Kreth S, von Deimling A, Tonn JC, Kretzschmar HA, Popperl G, Kreth FW (2011) Hot spots in dynamic (18)FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas. Neuro Oncol 13:307–316. doi:10.​1093/​neuonc/​noq196 PubMedCentralCrossRefPubMed
48.
Zurück zum Zitat Calcagni ML, Galli G, Giordano A, Taralli S, Anile C, Niesen A, Baum RP (2011) Dynamic O-(2-[18F]fluoroethyl)-l-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy. Clin Nucl Med 36:841–847. doi:10.1097/RLU.0b013e3182291b40 CrossRefPubMed Calcagni ML, Galli G, Giordano A, Taralli S, Anile C, Niesen A, Baum RP (2011) Dynamic O-(2-[18F]fluoroethyl)-l-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy. Clin Nucl Med 36:841–847. doi:10.​1097/​RLU.​0b013e3182291b40​ CrossRefPubMed
49.
Zurück zum Zitat Shibamoto Y, Kitakabu Y, Takahashi M, Yamashita J, Oda Y, Kikuchi H, Abe M (1993) Supratentorial low-grade astrocytoma. Correlation of computed tomography findings with effect of radiation therapy and prognostic variables. Cancer 72:190–195CrossRefPubMed Shibamoto Y, Kitakabu Y, Takahashi M, Yamashita J, Oda Y, Kikuchi H, Abe M (1993) Supratentorial low-grade astrocytoma. Correlation of computed tomography findings with effect of radiation therapy and prognostic variables. Cancer 72:190–195CrossRefPubMed
50.
Zurück zum Zitat Schuurman PR, Troost D, Verbeeten B Jr, Bosch DA (1997) 5-year survival and clinical prognostic factors in progressive supratentorial diffuse “low-grade” astrocytoma: a retrospective analysis of 46 cases. Acta Neurochir (Wien) 139:2–7CrossRef Schuurman PR, Troost D, Verbeeten B Jr, Bosch DA (1997) 5-year survival and clinical prognostic factors in progressive supratentorial diffuse “low-grade” astrocytoma: a retrospective analysis of 46 cases. Acta Neurochir (Wien) 139:2–7CrossRef
51.
Zurück zum Zitat Bauman G, Lote K, Larson D, Stalpers L, Leighton C, Fisher B, Wara W, MacDonald D, Stitt L, Cairncross JG (1999) Pretreatment factors predict overall survival for patients with low-grade glioma: a recursive partitioning analysis. Int J Radiat Oncol Biol Phys 45:923–929CrossRefPubMed Bauman G, Lote K, Larson D, Stalpers L, Leighton C, Fisher B, Wara W, MacDonald D, Stitt L, Cairncross JG (1999) Pretreatment factors predict overall survival for patients with low-grade glioma: a recursive partitioning analysis. Int J Radiat Oncol Biol Phys 45:923–929CrossRefPubMed
52.
53.
Zurück zum Zitat Dhermain F, Saliou G, Parker F, Page P, Hoang-Xuan K, Lacroix C, Tournay E, Bourhis J, Ducreux D (2010) Microvascular leakage and contrast enhancement as prognostic factors for recurrence in unfavorable low-grade gliomas. J Neurooncol 97:81–88. doi:10.1007/s11060-009-9992-3 CrossRefPubMed Dhermain F, Saliou G, Parker F, Page P, Hoang-Xuan K, Lacroix C, Tournay E, Bourhis J, Ducreux D (2010) Microvascular leakage and contrast enhancement as prognostic factors for recurrence in unfavorable low-grade gliomas. J Neurooncol 97:81–88. doi:10.​1007/​s11060-009-9992-3 CrossRefPubMed
54.
Zurück zum Zitat Caseiras GB, Chheang S, Babb J, Rees JH, Pecerrelli N, Tozer DJ, Benton C, Zagzag D, Johnson G, Waldman AD, Jager HR, Law M (2010) Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting. Eur J Radiol 73:215–220. doi:10.1016/j.ejrad.2008.11.005 CrossRefPubMed Caseiras GB, Chheang S, Babb J, Rees JH, Pecerrelli N, Tozer DJ, Benton C, Zagzag D, Johnson G, Waldman AD, Jager HR, Law M (2010) Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting. Eur J Radiol 73:215–220. doi:10.​1016/​j.​ejrad.​2008.​11.​005 CrossRefPubMed
57.
Zurück zum Zitat Floeth FW, Pauleit D, Sabel M, Stoffels G, Reifenberger G, Riemenschneider MJ, Jansen P, Coenen HH, Steiger HJ, Langen KJ (2007) Prognostic value of O-(2-18F-fluoroethyl)-l-tyrosine PET and MRI in low-grade glioma. J Nucl Med 48:519–527CrossRefPubMed Floeth FW, Pauleit D, Sabel M, Stoffels G, Reifenberger G, Riemenschneider MJ, Jansen P, Coenen HH, Steiger HJ, Langen KJ (2007) Prognostic value of O-(2-18F-fluoroethyl)-l-tyrosine PET and MRI in low-grade glioma. J Nucl Med 48:519–527CrossRefPubMed
58.
Zurück zum Zitat Afra D, Osztie E (1997) Histologically confirmed changes on CT of reoperated low-grade astrocytomas. Neuroradiology 39:804–810CrossRefPubMed Afra D, Osztie E (1997) Histologically confirmed changes on CT of reoperated low-grade astrocytomas. Neuroradiology 39:804–810CrossRefPubMed
59.
Zurück zum Zitat Bauman G, Pahapill P, Macdonald D, Fisher B, Leighton C, Cairncross G (1999) Low grade glioma: a measuring radiographic response to radiotherapy. Can J Neurol Sci 26:18–22PubMed Bauman G, Pahapill P, Macdonald D, Fisher B, Leighton C, Cairncross G (1999) Low grade glioma: a measuring radiographic response to radiotherapy. Can J Neurol Sci 26:18–22PubMed
60.
Zurück zum Zitat Mandonnet E, Delattre JY, Tanguy ML, Swanson KR, Carpentier AF, Duffau H, Cornu P, Van Effenterre R, Alvord EC Jr, Capelle L (2003) Continuous growth of mean tumor diameter in a subset of grade II gliomas. Ann Neurol 53:524–528. doi:10.1002/ana.10528 CrossRefPubMed Mandonnet E, Delattre JY, Tanguy ML, Swanson KR, Carpentier AF, Duffau H, Cornu P, Van Effenterre R, Alvord EC Jr, Capelle L (2003) Continuous growth of mean tumor diameter in a subset of grade II gliomas. Ann Neurol 53:524–528. doi:10.​1002/​ana.​10528 CrossRefPubMed
61.
Zurück zum Zitat Pallud J, Mandonnet E, Duffau H, Kujas M, Guillevin R, Galanaud D, Taillandier L, Capelle L (2006) Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas. Ann Neurol 60:380–383. doi:10.1002/ana.20946 CrossRefPubMed Pallud J, Mandonnet E, Duffau H, Kujas M, Guillevin R, Galanaud D, Taillandier L, Capelle L (2006) Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas. Ann Neurol 60:380–383. doi:10.​1002/​ana.​20946 CrossRefPubMed
62.
Zurück zum Zitat Ricard D, Kaloshi G, Amiel-Benouaich A, Lejeune J, Marie Y, Mandonnet E, Kujas M, Mokhtari K, Taillibert S, Laigle-Donadey F, Carpentier AF, Omuro A, Capelle L, Duffau H, Cornu P, Guillevin R, Sanson M, Hoang-Xuan K, Delattre JY (2007) Dynamic history of low-grade gliomas before and after temozolomide treatment. Ann Neurol 61:484–490. doi:10.1002/ana.21125 CrossRefPubMed Ricard D, Kaloshi G, Amiel-Benouaich A, Lejeune J, Marie Y, Mandonnet E, Kujas M, Mokhtari K, Taillibert S, Laigle-Donadey F, Carpentier AF, Omuro A, Capelle L, Duffau H, Cornu P, Guillevin R, Sanson M, Hoang-Xuan K, Delattre JY (2007) Dynamic history of low-grade gliomas before and after temozolomide treatment. Ann Neurol 61:484–490. doi:10.​1002/​ana.​21125 CrossRefPubMed
63.
Zurück zum Zitat Mandonnet E, Pallud J, Fontaine D, Taillandier L, Bauchet L, Peruzzi P, Guyotat J, Bernier V, Baron MH, Duffau H, Capelle L (2010) Inter- and intrapatients comparison of WHO grade II glioma kinetics before and after surgical resection. Neurosurg Rev 33:91–96. doi:10.1007/s10143-009-0229-x CrossRefPubMed Mandonnet E, Pallud J, Fontaine D, Taillandier L, Bauchet L, Peruzzi P, Guyotat J, Bernier V, Baron MH, Duffau H, Capelle L (2010) Inter- and intrapatients comparison of WHO grade II glioma kinetics before and after surgical resection. Neurosurg Rev 33:91–96. doi:10.​1007/​s10143-009-0229-x CrossRefPubMed
64.
Zurück zum Zitat Brasil Caseiras G, Ciccarelli O, Altmann DR, Benton CE, Tozer DJ, Tofts PS, Yousry TA, Rees J, Waldman AD, Jager HR (2009) Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. Radiology 253:505–512. doi:10.1148/radiol.2532081623 CrossRefPubMed Brasil Caseiras G, Ciccarelli O, Altmann DR, Benton CE, Tozer DJ, Tofts PS, Yousry TA, Rees J, Waldman AD, Jager HR (2009) Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. Radiology 253:505–512. doi:10.​1148/​radiol.​2532081623 CrossRefPubMed
66.
Zurück zum Zitat van den Bent MJ, Wefel JS, Schiff D, Taphoorn MJ, Jaeckle K, Junck L, Armstrong T, Choucair A, Waldman AD, Gorlia T, Chamberlain M, Baumert BG, Vogelbaum MA, Macdonald DR, Reardon DA, Wen PY, Chang SM, Jacobs AH (2011) Response assessment in neuro-oncology (a report of the RANO group): assessment of outcome in trials of diffuse low-grade gliomas. Lancet Oncol 12:583–593. doi:10.1016/s1470-2045(11)70057-2 CrossRefPubMed van den Bent MJ, Wefel JS, Schiff D, Taphoorn MJ, Jaeckle K, Junck L, Armstrong T, Choucair A, Waldman AD, Gorlia T, Chamberlain M, Baumert BG, Vogelbaum MA, Macdonald DR, Reardon DA, Wen PY, Chang SM, Jacobs AH (2011) Response assessment in neuro-oncology (a report of the RANO group): assessment of outcome in trials of diffuse low-grade gliomas. Lancet Oncol 12:583–593. doi:10.​1016/​s1470-2045(11)70057-2 CrossRefPubMed
67.
Zurück zum Zitat Voglein J, Tuttenberg J, Weimer M, Gerigk L, Kauczor HU, Essig M, Weber MA (2011) Treatment monitoring in gliomas: comparison of dynamic susceptibility-weighted contrast-enhanced and spectroscopic MRI techniques for identifying treatment failure. Invest Radiol 46:390–400. doi:10.1097/RLI.0b013e31820e1511 CrossRefPubMed Voglein J, Tuttenberg J, Weimer M, Gerigk L, Kauczor HU, Essig M, Weber MA (2011) Treatment monitoring in gliomas: comparison of dynamic susceptibility-weighted contrast-enhanced and spectroscopic MRI techniques for identifying treatment failure. Invest Radiol 46:390–400. doi:10.​1097/​RLI.​0b013e31820e1511​ CrossRefPubMed
68.
Zurück zum Zitat Danchaivijitr N, Waldman AD, Tozer DJ, Benton CE, Brasil Caseiras G, Tofts PS, Rees JH, Jager HR (2008) Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation? Radiology 247:170–178. doi:10.1148/radiol.2471062089 CrossRefPubMed Danchaivijitr N, Waldman AD, Tozer DJ, Benton CE, Brasil Caseiras G, Tofts PS, Rees JH, Jager HR (2008) Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation? Radiology 247:170–178. doi:10.​1148/​radiol.​2471062089 CrossRefPubMed
69.
Zurück zum Zitat Hlaihel C, Guilloton L, Guyotat J, Streichenberger N, Honnorat J, Cotton F (2010) Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas. J Neurooncol 97:73–80. doi:10.1007/s11060-009-9991-4 CrossRefPubMed Hlaihel C, Guilloton L, Guyotat J, Streichenberger N, Honnorat J, Cotton F (2010) Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas. J Neurooncol 97:73–80. doi:10.​1007/​s11060-009-9991-4 CrossRefPubMed
71.
Zurück zum Zitat Arbizu J, Tejada S, Marti-Climent JM, Diez-Valle R, Prieto E, Quincoces G, Vigil C, Idoate MA, Zubieta JL, Penuelas I, Richter JA (2012) Quantitative volumetric analysis of gliomas with sequential MRI and (1)(1)C-methionine PET assessment: patterns of integration in therapy planning. Eur J Nucl Med Mol Imaging 39:771–781. doi:10.1007/s00259-011-2049-9 CrossRefPubMed Arbizu J, Tejada S, Marti-Climent JM, Diez-Valle R, Prieto E, Quincoces G, Vigil C, Idoate MA, Zubieta JL, Penuelas I, Richter JA (2012) Quantitative volumetric analysis of gliomas with sequential MRI and (1)(1)C-methionine PET assessment: patterns of integration in therapy planning. Eur J Nucl Med Mol Imaging 39:771–781. doi:10.​1007/​s00259-011-2049-9 CrossRefPubMed
73.
74.
Zurück zum Zitat Soffietti R, Baumert BG, Bello L, von Deimling A, Duffau H, Frenay M, Grisold W, Grant R, Graus F, Hoang-Xuan K, Klein M, Melin B, Rees J, Siegal T, Smits A, Stupp R, Wick W (2010) Guidelines on management of low-grade gliomas: report of an EFNS-EANO Task Force. Eur J Neurol 17:1124-1133 doi:10.1111/j.1468-1331.2010.03151.x CrossRefPubMed Soffietti R, Baumert BG, Bello L, von Deimling A, Duffau H, Frenay M, Grisold W, Grant R, Graus F, Hoang-Xuan K, Klein M, Melin B, Rees J, Siegal T, Smits A, Stupp R, Wick W (2010) Guidelines on management of low-grade gliomas: report of an EFNS-EANO Task Force. Eur J Neurol 17:1124-1133 doi:10.​1111/​j.​1468-1331.​2010.​03151.​x CrossRefPubMed
75.
Zurück zum Zitat Shaw EG , Berkey B, Coons SW, Bullard D, Brachman D, Buckner JC, Stelzer KJ, Barger GR, Brown PD, Gilbert MR, Mehta M (2008) Recurrence following neurosurgeon-determined gross-total resection of adult supratentorial low-grade glioma: results of a prospective clinical trial. J Neurosurg 109(5):835–841CrossRefPubMed Shaw EG , Berkey B, Coons SW, Bullard D, Brachman D, Buckner JC, Stelzer KJ, Barger GR, Brown PD, Gilbert MR, Mehta M (2008) Recurrence following neurosurgeon-determined gross-total resection of adult supratentorial low-grade glioma: results of a prospective clinical trial. J Neurosurg 109(5):835–841CrossRefPubMed
Metadaten
Titel
The role of imaging in the management of adults with diffuse low grade glioma
A systematic review and evidence-based clinical practice guideline
verfasst von
Sarah Jost Fouke
Tammie Benzinger
Daniel Gibson
Timothy C. Ryken
Steven N. Kalkanis
Jeffrey J. Olson
Publikationsdatum
01.12.2015
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology / Ausgabe 3/2015
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-015-1908-9

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