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361 related items for PubMed ID: 18372467

  • 1. Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation?
    Danchaivijitr N, Waldman AD, Tozer DJ, Benton CE, Brasil Caseiras G, Tofts PS, Rees JH, Jäger HR.
    Radiology; 2008 Apr; 247(1):170-8. PubMed ID: 18372467
    [Abstract] [Full Text] [Related]

  • 2. Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient.
    Brasil Caseiras G, Ciccarelli O, Altmann DR, Benton CE, Tozer DJ, Tofts PS, Yousry TA, Rees J, Waldman AD, Jäger HR.
    Radiology; 2009 Nov; 253(2):505-12. PubMed ID: 19789244
    [Abstract] [Full Text] [Related]

  • 3. High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging.
    Law M, Cha S, Knopp EA, Johnson G, Arnett J, Litt AW.
    Radiology; 2002 Mar; 222(3):715-21. PubMed ID: 11867790
    [Abstract] [Full Text] [Related]

  • 4. 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. PubMed ID: 16723889
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. 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 01; 53(1):95-101. PubMed ID: 22114021
    [Abstract] [Full Text] [Related]

  • 7. 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 01; 60(4):493-502. PubMed ID: 15767107
    [Abstract] [Full Text] [Related]

  • 8. Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging.
    Warmuth C, Gunther M, Zimmer C.
    Radiology; 2003 Aug 01; 228(2):523-32. PubMed ID: 12819338
    [Abstract] [Full Text] [Related]

  • 9. Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas.
    Sugahara T, Korogi Y, Kochi M, Ikushima I, Hirai T, Okuda T, Shigematsu Y, Liang L, Ge Y, Ushio Y, Takahashi M.
    AJR Am J Roentgenol; 1998 Dec 01; 171(6):1479-86. PubMed ID: 9843274
    [Abstract] [Full Text] [Related]

  • 10. Correlation of relative permeability and relative cerebral blood volume in high-grade cerebral neoplasms.
    Provenzale JM, York G, Moya MG, Parks L, Choma M, Kealey S, Cole P, Serajuddin H.
    AJR Am J Roentgenol; 2006 Oct 01; 187(4):1036-42. PubMed ID: 16985154
    [Abstract] [Full Text] [Related]

  • 11. Dynamic contrast-enhanced susceptibility-weighted perfusion imaging of intracranial tumors: a study using a 3T MR scanner.
    Sentürk S, Oğuz KK, Cila A.
    Diagn Interv Radiol; 2009 Mar 01; 15(1):3-12. PubMed ID: 19263367
    [Abstract] [Full Text] [Related]

  • 12. Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study.
    Chaskis C, Stadnik T, Michotte A, Van Rompaey K, D'Haens J.
    Acta Neurochir (Wien); 2006 Mar 01; 148(3):277-85; discussion 285. PubMed ID: 16421765
    [Abstract] [Full Text] [Related]

  • 13. 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 01; 179(3):783-9. PubMed ID: 12185064
    [Abstract] [Full Text] [Related]

  • 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 01; 24(5):989-94. PubMed ID: 17031832
    [Abstract] [Full Text] [Related]

  • 15. Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method.
    Cebeci H, Aydin O, Ozturk-Isik E, Gumus C, Inecikli F, Bekar A, Kocaeli H, Hakyemez B.
    Eur J Radiol; 2014 Oct 01; 83(10):1914-9. PubMed ID: 25087109
    [Abstract] [Full Text] [Related]

  • 16. Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors.
    Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh VA, Cotton F.
    Neuroradiology; 2006 Mar 01; 48(3):150-9. PubMed ID: 16470375
    [Abstract] [Full Text] [Related]

  • 17. [Value of relative cerebral blood volume measurement using perfusion MRI in glioma management].
    Metellus P, Dutertre G, Mekkaoui C, Nanni I, Fuentes S, Ait-Ameur A, Chinot O, Dufour H, Figarella-Branger D, Cordoliani YS, Grisoli F.
    Neurochirurgie; 2008 Aug 01; 54(4):503-11. PubMed ID: 18573509
    [Abstract] [Full Text] [Related]

  • 18. 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 01; 65(1):15-20. PubMed ID: 20103416
    [Abstract] [Full Text] [Related]

  • 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 01; 272(2):494-503. PubMed ID: 24661247
    [Abstract] [Full Text] [Related]

  • 20. Posttreatment recurrence of malignant brain neoplasm: accuracy of relative cerebral blood volume fraction in discriminating low from high malignant histologic volume fraction.
    Gasparetto EL, Pawlak MA, Patel SH, Huse J, Woo JH, Krejza J, Rosenfeld MR, O'Rourke DM, Lustig R, Melhem ER, Wolf RL.
    Radiology; 2009 Mar 01; 250(3):887-96. PubMed ID: 19244052
    [Abstract] [Full Text] [Related]

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