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Items: 20

1.

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.

Tiwari P, Prasanna P, Wolansky L, Pinho M, Cohen M, Nayate AP, Gupta A, Singh G, Hatanpaa KJ, Sloan A, Rogers L, Madabhushi A.

AJNR Am J Neuroradiol. 2016 Dec;37(12):2231-2236. Epub 2016 Sep 15.

2.

Quantitative Analysis of Diffusion Weighted MR Images of Brain Tumor Using Signal Intensity Gradient Technique.

Shanbhag SS, Udupi GR, Patil KM, Ranganath K.

J Med Eng. 2014;2014:619081. doi: 10.1155/2014/619081. Epub 2014 May 28.

3.

Dosimetric Effects of Magnetic Resonance Imaging-assisted Radiotherapy Planning: Dose Optimization for Target Volumes at High Risk and Analytic Radiobiological Dose Evaluation.

Park JY, Suh TS, Lee JW, Ahn KJ, Park HJ, Choe BY, Hong S.

J Korean Med Sci. 2015 Oct;30(10):1522-30. doi: 10.3346/jkms.2015.30.10.1522. Epub 2015 Sep 12.

4.

Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging.

Li Y, Lupo JM, Parvataneni R, Lamborn KR, Cha S, Chang SM, Nelson SJ.

Neuro Oncol. 2013 May;15(5):607-17. doi: 10.1093/neuonc/nos334. Epub 2013 Feb 7.

5.

Utility of multiparametric 3-T MRI for glioma characterization.

Roy B, Gupta RK, Maudsley AA, Awasthi R, Sheriff S, Gu M, Husain N, Mohakud S, Behari S, Pandey CM, Rathore RK, Spielman DM, Alger JR.

Neuroradiology. 2013 May;55(5):603-13. doi: 10.1007/s00234-013-1145-x. Epub 2013 Feb 2.

6.

Diffusion tensor magnetic resonance imaging of rat glioma models: a correlation study of MR imaging and histology.

Wang S, Zhou J.

J Comput Assist Tomogr. 2012 Nov-Dec;36(6):739-44. doi: 10.1097/RCT.0b013e3182685436.

7.

Spatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imaging.

Ozturk-Isik E, Pirzkall A, Lamborn KR, Cha S, Chang SM, Nelson SJ.

Transl Oncol. 2012 Feb;5(1):10-8. Epub 2012 Feb 1.

8.

In vivo characterization of several rodent glioma models by 1H MRS.

Doblas S, He T, Saunders D, Hoyle J, Smith N, Pye Q, Lerner M, Jensen RL, Towner RA.

NMR Biomed. 2012 Apr;25(4):685-94. doi: 10.1002/nbm.1785. Epub 2011 Sep 23.

9.

Assessment of therapeutic response and treatment planning for brain tumors using metabolic and physiological MRI.

Nelson SJ.

NMR Biomed. 2011 Jul;24(6):734-49. doi: 10.1002/nbm.1669. Epub 2011 Apr 27. Review.

10.

Hot spots in dynamic (18)FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas.

Kunz M, Thon N, Eigenbrod S, Hartmann C, Egensperger R, Herms J, Geisler J, la Fougere C, Lutz J, Linn J, Kreth S, von Deimling A, Tonn JC, Kretzschmar HA, Pöpperl G, Kreth FW.

Neuro Oncol. 2011 Mar;13(3):307-16. doi: 10.1093/neuonc/noq196. Epub 2011 Feb 3.

11.

MR imaging of high-grade brain tumors using endogenous protein and peptide-based contrast.

Wen Z, Hu S, Huang F, Wang X, Guo L, Quan X, Wang S, Zhou J.

Neuroimage. 2010 Jun;51(2):616-22. doi: 10.1016/j.neuroimage.2010.02.050. Epub 2010 Feb 24.

12.

Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.

Bian W, Khayal IS, Lupo JM, McGue C, Vandenberg S, Lamborn KR, Chang SM, Cha S, Nelson SJ.

Transl Oncol. 2009 Dec;2(4):271-80.

13.

3D sensitivity encoded ellipsoidal MR spectroscopic imaging of gliomas at 3T.

Ozturk-Isik E, Chen AP, Crane JC, Bian W, Xu D, Han ET, Chang SM, Vigneron DB, Nelson SJ.

Magn Reson Imaging. 2009 Nov;27(9):1249-57. doi: 10.1016/j.mri.2009.05.028. Epub 2009 Sep 19.

14.

Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma.

Chang SM, Nelson S, Vandenberg S, Cha S, Prados M, Butowski N, McDermott M, Parsa AT, Aghi M, Clarke J, Berger M.

J Neurooncol. 2009 May;92(3):401-15. doi: 10.1007/s11060-009-9845-0. Epub 2009 Apr 9.

15.

Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Crawford FW, Khayal IS, McGue C, Saraswathy S, Pirzkall A, Cha S, Lamborn KR, Chang SM, Berger MS, Nelson SJ.

J Neurooncol. 2009 Feb;91(3):337-51. doi: 10.1007/s11060-008-9719-x. Epub 2008 Nov 15.

16.

Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Saraswathy S, Crawford FW, Lamborn KR, Pirzkall A, Chang S, Cha S, Nelson SJ.

J Neurooncol. 2009 Jan;91(1):69-81. doi: 10.1007/s11060-008-9685-3. Epub 2008 Sep 23.

17.

Disease progression or pseudoprogression after concomitant radiochemotherapy treatment: pitfalls in neurooncology.

Brandes AA, Tosoni A, Spagnolli F, Frezza G, Leonardi M, Calbucci F, Franceschi E.

Neuro Oncol. 2008 Jun;10(3):361-7. doi: 10.1215/15228517-2008-008. Epub 2008 Apr 9. Review.

18.

Relationship between choline and apparent diffusion coefficient in patients with gliomas.

Khayal IS, Crawford FW, Saraswathy S, Lamborn KR, Chang SM, Cha S, McKnight TR, Nelson SJ.

J Magn Reson Imaging. 2008 Apr;27(4):718-25. doi: 10.1002/jmri.21288.

19.

Analysis of metabolic indices in regions of abnormal perfusion in patients with high-grade glioma.

Lupo JM, Cha S, Chang SM, Nelson SJ.

AJNR Am J Neuroradiol. 2007 Sep;28(8):1455-61.

20.

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