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Items: 1 to 20 of 565

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High-grade and low-grade gliomas: differentiation by using perfusion MR imaging.

Hakyemez B, Erdogan C, Ercan I, Ergin N, Uysal S, Atahan S.

Clin Radiol. 2005 Apr;60(4):493-502.

PMID:
15767107
5.

Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Law M, Yang S, Babb JS, Knopp EA, Golfinos JG, Zagzag D, Johnson G.

AJNR Am J Neuroradiol. 2004 May;25(5):746-55.

6.

Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D.

AJNR Am J Neuroradiol. 2003 Nov-Dec;24(10):1989-98.

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Cerebral blood volume measurements by perfusion-weighted MR imaging in gliomas: ready for prime time in predicting short-term outcome and recurrent disease?

Bisdas S, Kirkpatrick M, Giglio P, Welsh C, Spampinato MV, Rumboldt Z.

AJNR Am J Neuroradiol. 2009 Apr;30(4):681-8. doi: 10.3174/ajnr.A1465. Epub 2009 Jan 29.

8.

Measurements of diagnostic examination performance and correlation analysis using microvascular leakage, cerebral blood volume, and blood flow derived from 3T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in glial tumor grading.

Server A, Graff BA, Orheim TE, Schellhorn T, Josefsen R, Gadmar ØB, Nakstad PH.

Neuroradiology. 2011 Jun;53(6):435-47. doi: 10.1007/s00234-010-0770-x. Epub 2010 Sep 21.

PMID:
20857284
9.

Perfusion MRI (dynamic susceptibility contrast imaging) with different measurement approaches for the evaluation of blood flow and blood volume in human gliomas.

Thomsen H, Steffensen E, Larsson EM.

Acta Radiol. 2012 Feb 1;53(1):95-101. doi: 10.1258/ar.2011.110242. Epub 2011 Nov 23.

PMID:
22114021
10.

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.

11.

Histogram analysis of MR imaging-derived cerebral blood volume maps: combined glioma grading and identification of low-grade oligodendroglial subtypes.

Emblem KE, Scheie D, Due-Tonnessen P, Nedregaard B, Nome T, Hald JK, Beiske K, Meling TR, Bjornerud A.

AJNR Am J Neuroradiol. 2008 Oct;29(9):1664-70. doi: 10.3174/ajnr.A1182. Epub 2008 Jun 26.

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Perfusion magnetic resonance imaging predicts patient outcome as an adjunct to histopathology: a second reference standard in the surgical and nonsurgical treatment of low-grade gliomas.

Law M, Oh S, Johnson G, Babb JS, Zagzag D, Golfinos J, Kelly PJ.

Neurosurgery. 2006 Jun;58(6):1099-107; discussion 1099-107.

PMID:
16723889
13.

Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging.

Ding B, Ling HW, Chen KM, Jiang H, Zhu YB.

Neuroradiology. 2006 Oct;48(10):773-81. Epub 2006 Aug 26.

PMID:
16937146
14.

Correlation between dynamic susceptibility contrast perfusion MRI and methionine metabolism in brain gliomas: preliminary results.

Sadeghi N, Salmon I, Tang BN, Denolin V, Levivier M, Wikler D, Rorive S, Balériaux D, Metens T, Goldman S.

J Magn Reson Imaging. 2006 Nov;24(5):989-94.

PMID:
17031832
16.

Solitary metastases and high-grade gliomas: radiological differentiation by morphometric analysis and perfusion-weighted MRI.

Hakyemez B, Erdogan C, Gokalp G, Dusak A, Parlak M.

Clin Radiol. 2010 Jan;65(1):15-20. doi: 10.1016/j.crad.2009.09.005.

PMID:
20103416
17.

Malignancy assessment of brain tumours with magnetic resonance spectroscopy and dynamic susceptibility contrast MRI.

Fayed N, Dávila J, Medrano J, Olmos S.

Eur J Radiol. 2008 Sep;67(3):427-33. doi: 10.1016/j.ejrad.2008.02.039. Epub 2008 Apr 28.

PMID:
18442889
18.

Differentiation of primary central nervous system lymphoma and high-grade glioma with dynamic susceptibility contrast-enhanced perfusion magnetic resonance imaging.

Liao W, Liu Y, Wang X, Jiang X, Tang B, Fang J, Chen C, Hu Z.

Acta Radiol. 2009 Mar;50(2):217-25. doi: 10.1080/02841850802616752.

PMID:
19096950
19.

Assessment of diagnostic accuracy of perfusion MR imaging in primary and metastatic solitary malignant brain tumors.

Bulakbasi N, Kocaoglu M, Farzaliyev A, Tayfun C, Ucoz T, Somuncu I.

AJNR Am J Neuroradiol. 2005 Oct;26(9):2187-99.

20.

Gliomas: application of cumulative histogram analysis of normalized cerebral blood volume on 3 T MRI to tumor grading.

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

PLoS One. 2013 May 21;8(5):e63462. doi: 10.1371/journal.pone.0063462. Print 2013.

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