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Journal Abstract Search

182 related items for PubMed ID: 25634715

  • 1. 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. PubMed ID: 25634715
    [Abstract] [Full Text] [Related]

  • 2. Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas.
    Nguyen TB, Cron GO, Bezzina K, Perdrizet K, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Thornhill RE, Zanette B, Cameron IG.
    AJNR Am J Neuroradiol; 2016 Dec; 37(12):2217-2223. PubMed ID: 27585700
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  • 3. Dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading: Preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis.
    Santarosa C, Castellano A, Conte GM, Cadioli M, Iadanza A, Terreni MR, Franzin A, Bello L, Caulo M, Falini A, Anzalone N.
    Eur J Radiol; 2016 Jun; 85(6):1147-56. PubMed ID: 27161065
    [Abstract] [Full Text] [Related]

  • 4. Comparison between intensity normalization techniques for dynamic susceptibility contrast (DSC)-MRI estimates of cerebral blood volume (CBV) in human gliomas.
    Ellingson BM, Zaw T, Cloughesy TF, Naeini KM, Lalezari S, Mong S, Lai A, Nghiemphu PL, Pope WB.
    J Magn Reson Imaging; 2012 Jun; 35(6):1472-7. PubMed ID: 22281731
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  • 5. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.
    Law M, Young RJ, Babb JS, Peccerelli N, Chheang S, Gruber ML, Miller DC, Golfinos JG, Zagzag D, Johnson G.
    Radiology; 2008 May; 247(2):490-8. PubMed ID: 18349315
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  • 6. Comparing perfusion metrics obtained from a single compartment versus pharmacokinetic modeling methods using dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.
    Law M, Young R, Babb J, Rad M, Sasaki T, Zagzag D, Johnson G.
    AJNR Am J Neuroradiol; 2006 Oct; 27(9):1975-82. PubMed ID: 17032878
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  • 8. Dynamic susceptibility contrast and dynamic contrast-enhanced MRI characteristics to distinguish microcystic meningiomas from traditional Grade I meningiomas and high-grade gliomas.
    Hussain NS, Moisi MD, Keogh B, McCullough BJ, Rostad S, Newell D, Gwinn R, Foltz G, Mayberg M, Aguedan B, Good V, Fouke SJ.
    J Neurosurg; 2017 Apr; 126(4):1220-1226. PubMed ID: 27285539
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  • 12. 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. PubMed ID: 15140713
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  • 13. 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. PubMed ID: 26228886
    [Abstract] [Full Text] [Related]

  • 14. 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. PubMed ID: 12185064
    [Abstract] [Full Text] [Related]

  • 15. 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. PubMed ID: 20857284
    [Abstract] [Full Text] [Related]

  • 16. Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps.
    Emblem KE, Nedregaard B, Nome T, Due-Tonnessen P, Hald JK, Scheie D, Borota OC, Cvancarova M, Bjornerud A.
    Radiology; 2008 Jun; 247(3):808-17. PubMed ID: 18487536
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  • 17. Improved Leakage Correction for Single-Echo Dynamic Susceptibility Contrast Perfusion MRI Estimates of Relative Cerebral Blood Volume in High-Grade Gliomas by Accounting for Bidirectional Contrast Agent Exchange.
    Leu K, Boxerman JL, Cloughesy TF, Lai A, Nghiemphu PL, Liau LM, Pope WB, Ellingson BM.
    AJNR Am J Neuroradiol; 2016 Aug; 37(8):1440-6. PubMed ID: 27079371
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  • 18. Stereotactic comparison among cerebral blood volume, methionine uptake, and histopathology in brain glioma.
    Sadeghi N, Salmon I, Decaestecker C, Levivier M, Metens T, Wikler D, Denolin V, Rorive S, Massager N, Baleriaux D, Goldman S.
    AJNR Am J Neuroradiol; 2007 Mar; 28(3):455-61. PubMed ID: 17353312
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  • 19. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging--prediction of patient clinical response.
    Law M, Oh S, Babb JS, Wang E, Inglese M, Zagzag D, Knopp EA, Johnson G.
    Radiology; 2006 Feb; 238(2):658-67. PubMed ID: 16396838
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  • 20. Cerebral blood volume mapping by MR imaging in the initial evaluation of brain tumors.
    Kremer S, Grand S, Remy C, Esteve F, Lefournier V, Pasquier B, Hoffmann D, Benabid AL, Le Bas JF.
    J Neuroradiol; 2002 Jun; 29(2):105-13. PubMed ID: 12297732
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