Cite

Tugcu B, Postalci LS, Gunaldi O, Tanriverdi O, Akdemir H. Efficacy of clinical prognostic factors on survival in patients with glioblastoma. Turk Neurosurg 2010; 20: 117-25. doi: 10.5137/1019-5149.JTN.2461-09.4TugcuBPostalciLSGunaldiOTanriverdiOAkdemirHEfficacy of clinical prognostic factors on survival in patients with glioblastomaTurk Neurosurg2010201172510.5137/1019-5149.JTN.2461-09.420401838Open DOISearch in Google Scholar

Seidel C, Dörner N, Osswald M, Wick A, Platten M, Bendszus M, et al. Does age matter? - A MRI study on peritumoral edema in newly diagnosed primary glioblastoma. BMC cancer 2011; 11: 127. doi: 10.1186/1471-240711-127SeidelCDörnerNOsswaldMWickAPlattenMBendszusMet alDoes age matter? - A MRI study on peritumoral edema in newly diagnosed primary glioblastomaBMC cancer20111112710.1186/1471-240711-127Open DOISearch in Google Scholar

Perez-Beteta J, Molina-García D, Martínez-González A, Henares-Molina A, Amo-Salas M, Luque B, et al. Morphological MRI-based features provide pretreatment survival prediction in glioblastoma. Eur Radiol 2019; 29: 19 6877. doi: 10.1007/s00330-018-5758-7Perez-BetetaJMolina-GarcíaDMartínez-GonzálezAHenares-MolinaAAmo-SalasMLuqueBet alMorphological MRI-based features provide pretreatment survival prediction in glioblastomaEur Radiol2019291910.1007/s00330-018-5758-730324390Open DOISearch in Google Scholar

Blomstergren A, Rydelius A, Abul-Kasim K, Lätt J, Sundgren PC, Bengzon J. Evaluation of reproducibility in MRI quantitative volumetric assessment and its role in the prediction of overall survival and progression-free survival in glioblastoma. Acta Radiol 2019; 60: 516-25. doi: 10.1177/0284185118786060BlomstergrenARydeliusAAbul-KasimKLättJSundgrenPCBengzonJ.Evaluation of reproducibility in MRI quantitative volumetric assessment and its role in the prediction of overall survival and progression-free survival in glioblastomaActa Radiol2019605162510.1177/028418511878606029966430Open DOISearch in Google Scholar

Abbasi AW, Westerlaan HE, Holtman GA, Aden KM, van Laar PJ, van der Hoorn A. Incidence of tumour progression and pseudoprogression in high-grade gliomas: a systematic review and meta-analysis. Clin Neuroradiol 2018; 28: 4 01-11. doi: 10.1007/s00062-017-0584-xAbbasiAWWesterlaanHEHoltmanGAAdenKMvanLaar PJvander Hoorn A.Incidence of tumour progression and pseudoprogression in high-grade gliomas: a systematic review and meta-analysisClin Neuroradiol2018284011110.1007/s00062-017-0584-x610517328466127Open DOISearch in Google Scholar

Durand-Munoz C, Flores-Alvarez E, Moreno-Jimenez S, Roldan-Valadez E. Pre-operative apparent diffusion coefficient values and tumour region volumes as prognostic biomarkers in glioblastoma: correlation and progression-free survival analyses. Insights Imaging 2019; 10: 36. doi: 10.1186/s13244-019-0724-8Durand-MunozCFlores-AlvarezEMoreno-JimenezSRoldan-ValadezE.Pre-operative apparent diffusion coefficient values and tumour region volumes as prognostic biomarkers in glioblastoma: correlation and progression-free survival analysesInsights Imaging2019103610.1186/s13244-019-0724-8642326030887267Open DOISearch in Google Scholar

Zikou A, Sioka C, Alexiou GA, Fotopoulos A, Voulgaris S, Argyropoulou MI. Radiation necrosis, pseudoprogression, pseudoresponse, and tumor recurrence: imaging challenges for the evaluation of treated gliomas. Contrast Media Mol Imaging 2018; 2018: 6828396. doi: 10.1155/2018/6828396ZikouASiokaCAlexiouGAFotopoulosAVoulgarisSArgyropoulouMIRadiation necrosis, pseudoprogression, pseudoresponse, and tumor recurrence: imaging challenges for the evaluation of treated gliomasContrast Media Mol Imaging20182018682839610.1155/2018/6828396630502730627060Open DOISearch in Google Scholar

Cordova JS, Shu HK, Liang Z, Gurbani SS, Cooper LA, Holder CA, et al. Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Neuro Oncol 2016; 18: 1180-9. doi: 10.1093/neuonc/now036CordovaJSShuHKLiangZGurbaniSSCooperLAHolderCAet alWhole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patientsNeuro Oncol2016181180910.1093/neuonc/now036493348626984746Open DOISearch in Google Scholar

van Dijken BRJ, van Laar PJ, Holtman GA, van der Hoorn A. Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis. Eur Radiol 2017; 27: 41 29-44. doi: 10.1007/s00330-017-4789-9vanDijken BRJvanLaar PJHoltmanGAvander Hoorn A.Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysisEur Radiol20172741294410.1007/s00330-017-4789-9557920428332014Open DOISearch in Google Scholar

Roldan-Valadez E, Rios C, Motola-Kuba D, Matus-Santos J, Villa AR, Moreno-Jimenez S. Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox’s proportional-hazards regression model for prediction of survival in high-grade gliomas. Br J Radiol 2016; 89: 20150502. doi: 10.1259/bjr.20150502Roldan-ValadezERiosCMotola-KubaDMatus-SantosJVillaARMoreno-JimenezS.Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox’s proportional-hazards regression model for prediction of survival in high-grade gliomasBr J Radiol2016892015050210.1259/bjr.20150502512482027626830Open DOISearch in Google Scholar

Toh CH, Wei KC, Ng SH, Wan YL, Lin CP, Castillo M. Differentiation of brain abscesses from necrotic glioblastomas and cystic metastatic brain tumors with diffusion tensor imaging. AJNR Am J Neuroradiol 2011; 32: 1646-51. doi: 10.3174/ajnr.A2581TohCHWeiKCNgSHWanYLLinCPCastilloMDifferentiation of brain abscesses from necrotic glioblastomas and cystic metastatic brain tumors with diffusion tensor imagingAJNR Am J Neuroradiol20113216465110.3174/ajnr.A2581796537021835939Open DOISearch in Google Scholar

Roldan-Valadez E, Rios C, Cortez-Conradis D, Favila R, Moreno-Jimenez S. Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach. Radiol Oncol 2014; 48: 127-36. doi: 10.2478/raon-2014-0004Roldan-ValadezERiosCCortez-ConradisDFavilaRMoreno-JimenezS.Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vsnormal brains by using discriminant analysis: introduction of a novel whole-brain approach. Radiol Oncol2014481273610.2478/raon-2014-0004407803124991202Open DOISearch in Google Scholar

Cortez-Conradis D, Favila R, Isaac-Olive K, Martinez-Lopez M, Rios C, Roldan-Valadez E. Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy. Eur Radiol 2013; 23: 11 12-21. doi: 10.1007/s00330-012-2688-7Cortez-ConradisDFavilaRIsaac-OliveKMartinez-LopezMRiosCRoldan-ValadezE.Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropyEur Radiol20132311122110.1007/s00330-012-2688-723085868Open DOISearch in Google Scholar

Rees JH, Smirniotopoulos JG, Jones RV, Wong K. Glioblastoma multiforme: radiologic-pathologic correlation. Radiographics 1996; 16: 1413-38; quiz 1462-3. doi: 10.1148/radiographics.16.6.8946545ReesJHSmirniotopoulosJGJonesRVWongKGlioblastoma multiforme: radiologic-pathologic correlationRadiographics199616141338quiz 1462-3. doi: 10.1148/radiographics.16.6.894654510.1148/radiographics.16.6.89465458946545Search in Google Scholar

Tang CY, Friedman J, Shungu D, Chang L, Ernst T, Stewart D, et al. Correlations between diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (1H MRS) in schizophrenic patients and normal controls. BMC Psychiatry 200 7; 7: 25. doi: 10.1186/1471-244X-7-25TangCYFriedmanJShunguDChangLErnstTStewartDet alCorrelations between diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (1H MRS) in schizophrenic patients and normal controlsBMC Psychiatry200772510.1186/1471-244X-7-25192908117578565Open DOISearch in Google Scholar

Brandao LA, Domingues RC. Brain metabolites and their significance in spectral analysis. In: Brandao LA, Domingues RC, editors. MR spectroscopy of the brain. Philadelphia, PA: Lippinco tt Williams & Wilkins; 2004. p. 11-2.BrandaoLADominguesRCBrain metabolites and their significance in spectral analysisBrandaoLADominguesRCMR spectroscopy of the brainPhiladelphia, PALippinco tt Williams & Wilkins;2004112Search in Google Scholar

Browner WS, Newman TB, Hulley SB. Total sample size required when using the correlation coefficient (r). Appendix 6c. In: Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Designing clinical research. Philadelphia, PA: Lippinc ott, Williams & Wilkins; 2013. p. 79.BrownerWSNewmanTBHulleySBTotal sample size required when using the correlation coefficient (r). Appendix 6cHulleySBCummingsSRBrownerWSGradyDGNewmanTBDesigning clinical researchPhiladelphia, PALippinc ott, Williams & Wilkins;201379Search in Google Scholar

Chan YH. Biostatistics 104: correlational analysis. Singapore Med J 2003; 44: 614-9. PMID: 14770254ChanYHBiostatistics 104: correlational analysisSingapore Med J2003446149PMID: 14770254Search in Google Scholar

Barton B, Peat J. Correlation coefficients. Chapter 7. In: Barton B, Peat J, editors. Medical statistics. A guide to SPSS, data analysis and critical appraisal. West Sussex, UK: Joh n Wiley & Sons Ltd; 2014. p. 197-204.BartonBPeatJCorrelation coefficients. Chapter 7BartonBPeatJMedical statistics. A guide to SPSS, data analysis and critical appraisalWest Sussex, UKJoh n Wiley & Sons Ltd;2014197204Search in Google Scholar

Pallant J. Testing the statistical significance of the difference between correlation coefficients. In: Pallant J, editor. SPSS survival manual. Crows Nest, NSW, Australia: Allen & Unwin; 2011. p. 139-41.PallantJTesting the statistical significance of the difference between correlation coefficientsPallantJSPSS survival manualCrows Nest, NSW, AustraliaAllen & Unwin;201113941Search in Google Scholar

Waldman AD, Jackson A, Price SJ, Clark CA, Booth TC, Auer DP, et al. Quantitative imaging biomarkers in neuro-oncology. Nat Rev Clin Oncol 2009; 6: 4 45-54. doi: 10.1038/nrclinonc.2009.92WaldmanADJacksonAPriceSJClarkCABoothTCAuerDPet alQuantitative imaging biomarkers in neuro-oncologyNat Rev Clin Oncol200964455410.1038/nrclinonc.2009.9219546864Open DOISearch in Google Scholar

Sadeghi N, Camby I, Goldman S, Gabius HJ, Balériaux D, Salmon I, et al. Effect of hydrophilic components of the extracellular matrix on quantifiable diffusion-weighted imaging of human gliomas: preliminary results of correlating apparent diffusion coefficient values and hyaluronan expression level. AJR Am J Roentgenol 2003; 181: 2 35-41. doi: 10.2214/ajr.181.1.1810235SadeghiNCambyIGoldmanSGabiusHJBalériauxDSalmonIet alEffect of hydrophilic components of the extracellular matrix on quantifiable diffusion-weighted imaging of human gliomas: preliminary results of correlating apparent diffusion coefficient values and hyaluronan expression levelAJR Am J Roentgenol20031812354110.2214/ajr.181.1.181023512818866Open DOISearch in Google Scholar

Peña A, Green HA, Carpenter TA, Price SJ, Pickard JD, Gillard JH. Enhanced visualization and quantification of magnetic resonance diffusion tensor imaging using the p:q tensor decomposition. Br J Radiol 2006; 79: 101-9. doi: 10.1259/bjr/24908512.PeñaAGreenHACarpenterTAPriceSJPickardJDGillardJH.Enhanced visualization and quantification of magnetic resonance diffusion tensor imaging using the p:q tensor decompositionBr J Radiol200679101910.1259/bjr/2490851216489190Open DOISearch in Google Scholar

Cortez-Conradis D, Rios C, Moreno-Jimenez S, Roldan-Valadez E. Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study. World J Radiol 2015; 7: 405-14. doi: 10.4329/wjr.v7.i11.405Cortez-ConradisDRiosCMoreno-JimenezSRoldan-ValadezE.Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot studyWorld J Radiol201574051410.4329/wjr.v7.i11.405466337926644826Open DOISearch in Google Scholar

Bitsch A, Bruhn H, Vougioukas V, Stringaris A, Lassmann H, Frahm J, et al. Inflammatory CNS demyelination: histopathologic correlation with in vivo quantitative proton MR spectroscopy. AJNR Am J Neurorad iol 1999; 20: 1619-27. PMID: 10543631BitschABruhnHVougioukasVStringarisALassmannHFrahmJet alInflammatory CNS demyelination: histopathologic correlation with in vivo quantitative proton MR spectroscopyAJNR Am J Neurorad iol199920161927PMID: 10543631Search in Google Scholar

Barker PB, Soher BJ, Blackband SJ, Chatham JC, Mathews VP, Bryan RN. Quantitation of proton NMR spectra of the human brain using tissue water as an internal concentration reference. NMR in biomedicine 1993; 6: 89-94. doi: 10.1002/nbm.1940060114BarkerPBSoherBJBlackbandSJChathamJCMathewsVPBryanRN.Quantitation of proton NMR spectra of the human brain using tissue water as an internal concentration referenceNMR in biomedicine19936899410.1002/nbm.19400601148384470Open DOISearch in Google Scholar

Gasparovic C, Arfai N, Smid N, Feeney DM. Decrease and recovery of N-acetylaspartate/creatine in rat brain remote from focal injury. J Neurotrauma 2001; 18: 241-6. doi: 10.1089/08977150151070856GasparovicCArfaiNSmidNFeeneyDMDecrease and recovery of N-acetylaspartate/creatine in rat brain remote from focal injuryJ Neurotrauma200118241610.1089/08977150151070856Open DOISearch in Google Scholar

Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, 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. doiLawMYangSWangHBabbJSJohnsonGChaSet alGlioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imagingAJNR Am J Neuroradiol200324198998Search in Google Scholar

Bertholdo D, Watcharakorn A, Castillo M. Proton magnetic resonance spectroscopy. Introduction and overview. In: Brandao LA, editor. MR spectroscopy of the brain. Philadelphia , PA: Elsevier Inc.; 2013. p. 359-80.BertholdoDWatcharakornACastilloMProton magnetic resonance spectroscopy. Introduction and overviewBrandaoLAMR spectroscopy of the brainPhiladelphia , PAElsevier Inc20133598010.1016/j.nic.2012.10.002Search in Google Scholar

Stadlbauer A, Gruber S, Nimsky C, Fahlbusch R, Hammen T, Buslei R, et al. Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology 2006; 238: 9 58-69. doi: 10.1148/radiol.2382041896StadlbauerAGruberSNimskyCFahlbuschRHammenTBusleiRet alPreoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imagingRadiology20062389586910.1148/radiol.2382041896Open DOISearch in Google Scholar

Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893-906. doi: 10.1002/mrm.1910360612PierpaoliCBasserPJToward a quantitative assessment of diffusion anisotropyMagn Reson Med19963689390610.1002/mrm.1910360612Open DOISearch in Google Scholar

Neil J, Miller J, Mukherjee P, Hüppi PS. Diffusion tensor imaging of normal and injured developing human brain - a technical review. NMR in biomedicine 2 002; 15: 543-52. doi: 10.1002/nbm.784NeilJMillerJMukherjeePHüppiPSDiffusion tensor imaging of normal and injured developing human brain - a technical reviewNMR in biomedicine2002155435210.1002/nbm.784Open DOISearch in Google Scholar

Price SJ, Peña A, Burnet NG, Jena R, Green HA, Carpenter TA, et al. Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas. Eur Radiol 2004; 14: 19 09-17. doi: 10.1007/s00330-004-2381-6PriceSJPeñaABurnetNGJenaRGreenHACarpenterTAet alTissue signature characterisation of diffusion tensor abnormalities in cerebral gliomasEur Radiol20041419091710.1007/s00330-004-2381-6Open DOISearch in Google Scholar

Price SJ, Jena R, Burnet NG, Hutchinson PJ, Dean AF, Peña A, et al. Improved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image-guided biopsy study. AJNR Am J Neuroradiol 2006; 27: 1969-74.PriceSJJenaRBurnetNGHutchinsonPJDeanAFPeñaAet alImproved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image-guided biopsy studyAJNR Am J Neuroradiol200627196974Search in Google Scholar

Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001; 13: 534-46. doi: 10.1002/jmri.1076Le BihanDManginJFPouponCClarkCAPappataSMolkoNet alDiffusion tensor imaging: concepts and applicationsJ Magn Reson Imaging2001135344610.1002/jmri.1076Open DOISearch in Google Scholar

Ozarslan E, Vemuri BC, Mareci TH. Generalized scalar measures for diffusion MRI using trace, variance, and entropy. Magn Reson Med 200 5; 53: 866-76. doi: 10.1002/mrm.20411OzarslanEVemuriBCMareciTHGeneralized scalar measures for diffusion MRI using trace, variance, and entropyMagn Reson Med2005538667610.1002/mrm.20411Open DOISearch in Google Scholar

Minati L, Aquino D, Bruzzone MG, Erbetta A. Quantitation of normal metabolite concentrations in six brain regions by in-vivoH-MR spectroscopy. Med Phys 2010; 35: 154-63. doi: 10.4103/0971-6203.62128MinatiLAquinoDBruzzoneMGErbettaAQuantitation of normal metabolite concentrations in six brain regions by in-vivoH-MR spectroscopyMed Phys2010351546310.4103/0971-6203.62128Open DOISearch in Google Scholar

Mori S, Barker PB. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec 1999; 257: 102-9. doi: 10.1002/(SICI)1097-0185(19990615)257:3<102::AID-AR7>3.0.CO;2-6MoriSBarkerPBDiffusion magnetic resonance imaging: its principle and applicationsAnat Rec1999257102910.1002/(SICI)1097-0185(19990615)257:3<102::AID-AR7>3.0.CO;2-6Open DOISearch in Google Scholar

Lu S, Ahn D, Johnson G, Cha S. Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors. AJN R Am J Neuroradiol 2003; 24: 937-41.LuSAhnDJohnsonGChaSPeritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumorsAJN R Am J Neuroradiol20032493741Search in Google Scholar

Budde MD, Xie M, Cross AH, Song SK. Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis. J Neurosci 2009; 29: 2805-13 . doi: 10.1523/JNEUROSCI.4605-08.2009BuddeMDXieMCrossAHSongSKAxial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysisJ Neurosci20092928051310.1523/JNEUROSCI.4605-08.2009Open DOISearch in Google Scholar

Song SK, Sun SW, Ramsbottom MJ, Chang C, Russell J, Cross AH. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002; 17: 1429-36. doi: 10.1006/nimg.2002.1267SongSKSunSWRamsbottomMJChangCRussellJCrossAH.Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of waterNeuroimage20021714293610.1006/nimg.2002.1267Open DOISearch in Google Scholar

Zhang X, Sun P, Wang J, Wang Q, Song SK. Diffusion tensor imaging detects retinal ganglion cell axon damage in the mouse model of optic nerve crush. Invest Ophthalmol Vis Sci 2011; 52: 7001-6. doi: 10.1167/iovs.11-7619ZhangXSunPWangJWangQSongSKDiffusion tensor imaging detects retinal ganglion cell axon damage in the mouse model of optic nerve crushInvest Ophthalmol Vis Sci2011527001610.1167/iovs.11-7619Open DOISearch in Google Scholar

Wang W, Steward CE, Desmond PM. Diffusion tensor imaging in glioblastoma multiforme and brain metastases: the role of p, q, L, and fractional anisotropy. AJNR Am J Neuroradiol 2009; 30: 203-8. doi: ajnr.A1303 [pii]10.3174/ajnr.A1303WangWStewardCEDesmondPMDiffusion tensor imaging in glioblastoma multiforme and brain metastases: the role of p, q, L, and fractional anisotropyAJNR Am J Neuroradiol2009302038doi:ajnr.A1303 [pii]10.3174/ajnr.A130310.3174/ajnr.A1303Search in Google Scholar

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: 221-8. doi: 10.1148/radiol.2321030653LuSAhnDJohnsonGLawMZagzagDGrossmanRIDiffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration indexRadiology2004232221810.1148/radiol.2321030653Open DOISearch in Google Scholar

Barker PB, Bizzi A. Stefano ND, Gullapalli RP, Lin DDM. Clinical MR spectroscopy. Techniques and Applications. Cambridge, UK: Cambridge University Press; 2010.BarkerPBBizziAStefanoNDGullapalliRPLinDDMClinical MR spectroscopy. Techniques and ApplicationsCambridge, UKCambridge University Press;201010.1017/CBO9780511770647Search in Google Scholar

Provencher SW. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed 2001; 14: 260-4. doi: 10.1002/nbm.698ProvencherSWAutomatic quantitation of localized in vivo 1H spectra with LCModelNMR Biomed200114260410.1002/nbm.698Open DOISearch in Google Scholar

Naressi A, Couturier C, Castang I, de Beer R, Graveron-Demilly D. Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signals. Comput Biol Med 2001; 31: 269-8 6. doi: 10.1016/s0010-4825(01)00006-3NaressiACouturierCCastangIdeBeer RGraveron-DemillyD.Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signalsComput Biol Med200131269810.1016/s0010-4825(01)00006-3Open DOISearch in Google Scholar

Yamamoto A, Miki Y, Urayama S, Fushimi Y, Okada T, Hanakawa T, et al. Diffusion tensor fiber tractography of the optic radiation: analysis with 6-, 12-, 40-, and 81-directional motion-probing gradients, a preliminary study. AJ NR Am J Neuroradiol 2007; 28: 92-6.YamamotoAMikiYUrayamaSFushimiYOkadaTHanakawaTet alDiffusion tensor fiber tractography of the optic radiation: analysis with 6-, 12-, 40-, and 81-directional motion-probing gradients, a preliminary studyAJ NR Am J Neuroradiol200728926Search in Google Scholar

Jones DK. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med 200 4; 51: 807-15. doi: 10.1002/mrm.20033JonesDKThe effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo studyMagn Reson Med2004518071510.1002/mrm.2003315065255Open DOISearch in Google Scholar

Bette S, Huber T, Gempt J, Boeckh-Behrens T, Wiestler B, Kehl V, et al. Local fractional anisotropy is reduced in areas with tumor recurrence in glioblastoma. Radiology 2017; 283: 49 9-507. doi: 10.1148/radiol.2016152832BetteSHuberTGemptJBoeckh-BehrensTWiestlerBKehlVet alLocal fractional anisotropy is reduced in areas with tumor recurrence in glioblastomaRadiology201728349950710.1148/radiol.201615283228234549Open DOISearch in Google Scholar

Johnson DR, Guerin JB, Giannini C, Morris JM, Eckel LJ, Kaufmann TJ. 2016 updates to the WHO brain tumor classification system: What the radiologist needs to know. Radiographics 2017; 37: 2164-80. doi: 10.1148/rg.2017170037JohnsonDRGuerinJBGianniniCMorrisJMEckelLJKaufmannTJ2016updates to the WHO brain tumor classification system: What the radiologist needs to knowRadiographics20173721648010.1148/rg.201717003729028423Open DOISearch in Google Scholar

Pope WB, Prins RM, Albert Thomas M, Nagarajan R, Yen KE, Bittinger MA, et al. Non-invasive detection of 2-hydroxyglutarate and other metabolites in IDH1 mutant glioma patients using magnetic resonance spectroscopy. J Neurooncol 2012; 107: 19 7-205. doi: 10.1007/s11060-011-0737-8PopeWBPrinsRMAlbertThomas MNagarajanRYenKEBittingerMAet alNon-invasive detection of 2-hydroxyglutarate and other metabolites in IDH1 mutant glioma patients using magnetic resonance spectroscopyJ Neurooncol201210719720510.1007/s11060-011-0737-8365061322015945Open DOISearch in Google Scholar

Johnson DR, Diehn FE, Giannini C, Jenkins RB, Jenkins SM, Parney IF, et al. Genetically defined oligodendroglioma is characterized by indistinct tumor borders at MRI. AJNR Am J Neuroradiol 2017; 38: 678-84. doi: 10.3174/ajnr.A5070JohnsonDRDiehnFEGianniniCJenkinsRBJenkinsSMParneyIFet alGenetically defined oligodendroglioma is characterized by indistinct tumor borders at MRIAJNR Am J Neuroradiol2017386788410.3174/ajnr.A5070796025428126746Open DOISearch in Google Scholar

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