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Results: 1 to 20 of 113

Similar articles for PubMed (Select 24457819)

1.

A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Hilario A, Sepulveda JM, Perez-Nuñez A, Salvador E, Millan JM, Hernandez-Lain A, Rodriguez-Gonzalez V, Lagares A, Ramos A.

AJNR Am J Neuroradiol. 2014 Jun;35(6):1096-102. doi: 10.3174/ajnr.A3837. Epub 2014 Jan 23.

PMID:
24457819
2.

The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas.

Hilario A, Ramos A, Perez-Nuñez A, Salvador E, Millan JM, Lagares A, Sepulveda JM, Gonzalez-Leon P, Hernandez-Lain A, Ricoy JR.

AJNR Am J Neuroradiol. 2012 Apr;33(4):701-7. doi: 10.3174/ajnr.A2846. Epub 2011 Dec 29.

3.

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. doi: 10.1148/radiol.2472070898. Epub 2008 Mar 18.

4.

Machine learning in preoperative glioma MRI: survival associations by perfusion-based support vector machine outperforms traditional MRI.

Emblem KE, Due-Tonnessen P, Hald JK, Bjornerud A, Pinho MC, Scheie D, Schad LR, Meling TR, Zoellner FG.

J Magn Reson Imaging. 2014 Jul;40(1):47-54. doi: 10.1002/jmri.24390. Epub 2013 Nov 13.

PMID:
24753371
5.

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
6.

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.

7.

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.

8.

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. doi: 10.1148/radiol.2532081623. Epub 2009 Sep 29.

PMID:
19789244
9.

Prediction of pathology and survival by FDG PET in gliomas.

Padma MV, Said S, Jacobs M, Hwang DR, Dunigan K, Satter M, Christian B, Ruppert J, Bernstein T, Kraus G, Mantil JC.

J Neurooncol. 2003 Sep;64(3):227-37.

PMID:
14558598
10.

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. Epub 2006 Jan 5.

PMID:
16396838
11.

Low-grade glioma surgery in eloquent areas: volumetric analysis of extent of resection and its impact on overall survival. A single-institution experience in 190 patients: clinical article.

Ius T, Isola M, Budai R, Pauletto G, Tomasino B, Fadiga L, Skrap M.

J Neurosurg. 2012 Dec;117(6):1039-52. doi: 10.3171/2012.8.JNS12393. Epub 2012 Oct 5.

PMID:
23039150
12.

Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging.

Arvinda HR, Kesavadas C, Sarma PS, Thomas B, Radhakrishnan VV, Gupta AK, Kapilamoorthy TR, Nair S.

J Neurooncol. 2009 Aug;94(1):87-96. doi: 10.1007/s11060-009-9807-6. Epub 2009 Feb 20. Retraction in: J Neurooncol. 2013 Sep;114(2):255.

PMID:
19229590
13.

Diffuse brainstem glioma: prognostic factors.

Dellaretti M, Reyns N, Touzet G, Dubois F, Gusmão S, Pereira JL, Blond S.

J Neurosurg. 2012 Nov;117(5):810-4. doi: 10.3171/2012.7.JNS111992. Epub 2012 Aug 31.

PMID:
22937929
14.
15.

Correlation between cerebral blood volume measurements by perfusion-weighted magnetic resonance imaging and two-year progression-free survival in gliomas.

Spampinato MV, Schiarelli C, Cianfoni A, Giglio P, Welsh CT, Bisdas S, Rumboldt Z.

Neuroradiol J. 2013 Aug;26(4):385-95. Epub 2013 Aug 27.

16.

Evaluation of perfusion CT in grading and prognostication of high-grade gliomas at diagnosis: a pilot study.

Shankar JJ, Woulfe J, Silva VD, Nguyen TB.

AJR Am J Roentgenol. 2013 May;200(5):W504-9. doi: 10.2214/AJR.12.8967.

PMID:
23617517
17.

Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas.

Catalaa I, Henry R, Dillon WP, Graves EE, McKnight TR, Lu Y, Vigneron DB, Nelson SJ.

NMR Biomed. 2006 Jun;19(4):463-75.

PMID:
16763973
18.

Efficacy of prognostic factors on survival in patients with low grade glioma.

Durmaz R, Vural M, Işildi E, Coşan E, Ozkara E, Bal C, Ciftçi E, Arslantaş A, Atasoy MA.

Turk Neurosurg. 2008 Oct;18(4):336-44.

19.

Near complete surgical resection predicts a favorable outcome in pediatric patients with nonbrainstem, malignant gliomas: results from a single center in the magnetic resonance imaging era.

Bucci MK, Maity A, Janss AJ, Belasco JB, Fisher MJ, Tochner ZA, Rorke L, Sutton LN, Phillips PC, Shu HK.

Cancer. 2004 Aug 15;101(4):817-24.

20.

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
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