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Items: 1 to 20 of 125

1.

Preoperative prognostic value of dynamic contrast-enhanced MRI-derived contrast transfer coefficient and plasma volume in patients with cerebral gliomas.

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.

AJNR Am J Neuroradiol. 2015 Jan;36(1):63-9. doi: 10.3174/ajnr.A4006. Epub 2014 Jun 19.

2.

Glioma: Application of histogram analysis of pharmacokinetic parameters from T1-weighted dynamic contrast-enhanced MR imaging to tumor grading.

Jung SC, Yeom JA, Kim JH, Ryoo I, Kim SC, Shin H, Lee AL, Yun TJ, Park CK, Sohn CH, Park SH, Choi SH.

AJNR Am J Neuroradiol. 2014 Jun;35(6):1103-10. doi: 10.3174/ajnr.A3825. Epub 2014 Jan 2.

3.

Pixel-by-Pixel Comparison of Volume Transfer Constant and Estimates of Cerebral Blood Volume from Dynamic Contrast-Enhanced and Dynamic Susceptibility Contrast-Enhanced MR Imaging in High-Grade Gliomas.

Alcaide-Leon P, Pareto D, Martinez-Saez E, Auger C, Bharatha A, Rovira A.

AJNR Am J Neuroradiol. 2015 May;36(5):871-6. doi: 10.3174/ajnr.A4231. Epub 2015 Jan 29.

4.

Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma?

Mills SJ, Patankar TA, Haroon HA, Balériaux D, Swindell R, Jackson A.

AJNR Am J Neuroradiol. 2006 Apr;27(4):853-8.

5.

Glioma grading capability: comparisons among parameters from dynamic contrast-enhanced MRI and ADC value on DWI.

Choi HS, Kim AH, Ahn SS, Shin NY, Kim J, Lee SK.

Korean J Radiol. 2013 May-Jun;14(3):487-92. doi: 10.3348/kjr.2013.14.3.487. Epub 2013 May 2.

6.
7.

Quantitative MR perfusion parameters related to survival time in high-grade gliomas.

Sanz-Requena R, Revert-Ventura A, Martí-Bonmatí L, Alberich-Bayarri A, García-Martí G.

Eur Radiol. 2013 Dec;23(12):3456-65. doi: 10.1007/s00330-013-2967-y. Epub 2013 Jul 10.

PMID:
23839170
8.

Using relative cerebral blood flow and volume to evaluate the histopathologic grade of cerebral gliomas: preliminary results.

Shin JH, Lee HK, Kwun BD, Kim JS, Kang W, Choi CG, Suh DC.

AJR Am J Roentgenol. 2002 Sep;179(3):783-9.

PMID:
12185064
9.

Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?

Weber MA, Henze M, Tüttenberg J, Stieltjes B, Meissner M, Zimmer F, Burkholder I, Kroll A, Combs SE, Vogt-Schaden M, Giesel FL, Zoubaa S, Haberkorn U, Kauczor HU, Essig M.

Invest Radiol. 2010 Dec;45(12):755-68. doi: 10.1097/RLI.0b013e3181ec9db0.

PMID:
20829706
10.

Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas.

Zhang N, Zhang L, Qiu B, Meng L, Wang X, Hou BL.

J Magn Reson Imaging. 2012 Aug;36(2):355-63. doi: 10.1002/jmri.23675. Epub 2012 May 11.

11.

Comparison of the Diagnostic Accuracy of DSC- and Dynamic Contrast-Enhanced MRI in the Preoperative Grading of Astrocytomas.

Nguyen TB, Cron GO, Perdrizet K, Bezzina K, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Sinclair J, Thornhill RE, Foottit C, Zanette B, Cameron IG.

AJNR Am J Neuroradiol. 2015 Nov;36(11):2017-22. doi: 10.3174/ajnr.A4398. Epub 2015 Jul 30.

PMID:
26228886
12.

Prognostic significance of contrast-enhancing low-grade gliomas in adults and a review of the literature.

Chaichana KL, McGirt MJ, Niranjan A, Olivi A, Burger PC, Quinones-Hinojosa A.

Neurol Res. 2009 Nov;31(9):931-9. doi: 10.1179/174313209X395454. Epub 2009 Feb 12.

PMID:
19215664
13.

Patterns of Tumor Contrast Enhancement Predict the Prognosis of Anaplastic Gliomas with IDH1 Mutation.

Wang YY, Wang K, Li SW, Wang JF, Ma J, Jiang T, Dai JP.

AJNR Am J Neuroradiol. 2015 Nov;36(11):2023-9. doi: 10.3174/ajnr.A4407. Epub 2015 Aug 27.

PMID:
26316565
14.

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.

Server A, Kulle B, Gadmar ØB, Josefsen R, Kumar T, Nakstad PH.

Eur J Radiol. 2011 Nov;80(2):462-70. doi: 10.1016/j.ejrad.2010.07.017. Epub 2010 Aug 13.

PMID:
20708868
15.

The assessment of immature microvascular density in brain gliomas with dynamic contrast-enhanced magnetic resonance imaging.

Jia ZZ, Gu HM, Zhou XJ, Shi JL, Li MD, Zhou GF, Wu XH.

Eur J Radiol. 2015 Sep;84(9):1805-9. doi: 10.1016/j.ejrad.2015.05.035. Epub 2015 Jun 5.

PMID:
26066470
16.

Comparison between contrast-enhanced magnetic resonance imaging and technetium 99m glucohepatonic acid single photon emission computed tomography with histopathologic correlation in gliomas.

Kumar RA, Khandelwal N, Sodhi KS, Pathak A, Mittal BR, Radotra BD, Suri S.

J Comput Assist Tomogr. 2006 Sep-Oct;30(5):723-33.

PMID:
16954918
17.

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].

Lev MH, Ozsunar Y, Henson JW, Rasheed AA, Barest GD, Harsh GR 4th, Fitzek MM, Chiocca EA, Rabinov JD, Csavoy AN, Rosen BR, Hochberg FH, Schaefer PW, Gonzalez RG.

AJNR Am J Neuroradiol. 2004 Feb;25(2):214-21. Erratum in: AJNR Am J Neuroradiol. 2004 Mar;25(3):B1.

18.
19.

Data-driven grading of brain gliomas: a multiparametric MR imaging study.

Caulo M, Panara V, Tortora D, Mattei PA, Briganti C, Pravatà E, Salice S, Cotroneo AR, Tartaro A.

Radiology. 2014 Aug;272(2):494-503. doi: 10.1148/radiol.14132040. Epub 2014 Mar 22.

PMID:
24661247
20.

Survival analysis of patients with high-grade gliomas based on data mining of imaging variables.

Zacharaki EI, Morita N, Bhatt P, O'Rourke DM, Melhem ER, Davatzikos C.

AJNR Am J Neuroradiol. 2012 Jun;33(6):1065-71. doi: 10.3174/ajnr.A2939. Epub 2012 Feb 9.

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