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Items: 1 to 20 of 103


Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme.

Stringfield O, Arrington JA, Johnston SK, Rognin NG, Peeri NC, Balagurunathan Y, Jackson PR, Clark-Swanson KR, Swanson KR, Egan KM, Gatenby RA, Raghunand N.

Tomography. 2019 Mar;5(1):135-144. doi: 10.18383/j.tom.2018.00052.


Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results.

Zhou M, Hall L, Goldgof D, Russo R, Balagurunathan Y, Gillies R, Gatenby R.

Transl Oncol. 2014 Feb 1;7(1):5-13. eCollection 2014 Feb.


Pre- and post-contrast three-dimensional double inversion-recovery MRI in human glioblastoma.

Harris RJ, Cloughesy TF, Pope WB, Godinez S, Natsuaki Y, Nghiemphu PL, Meyer H, Paul D, Behbahanian Y, Lai A, Ellingson BM.

J Neurooncol. 2013 Apr;112(2):257-66. doi: 10.1007/s11060-013-1057-y. Epub 2013 Jan 24.


Upfront boost Gamma Knife "leading-edge" radiosurgery to FLAIR MRI-defined tumor migration pathways in 174 patients with glioblastoma multiforme: a 15-year assessment of a novel therapy.

Duma CM, Kim BS, Chen PV, Plunkett ME, Mackintosh R, Mathews MS, Casserly RM, Mendez GA, Furman DJ, Smith G, Oh N, Caraway CA, Sanathara AR, Dillman RO, Riley AS, Weiland D, Stemler L, Cannell R, Abrams DA, Smith A, Owen CM, Eisenberg B, Brant-Zawadzki M.

J Neurosurg. 2016 Dec;125(Suppl 1):40-49.


Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.

Yang D, Rao G, Martinez J, Veeraraghavan A, Rao A.

Med Phys. 2015 Nov;42(11):6725-35. doi: 10.1118/1.4934373.


Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.

Chaddad A, Desrosiers C, Toews M.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4035-4038. doi: 10.1109/EMBC.2016.7591612.


Identifying the mesenchymal molecular subtype of glioblastoma using quantitative volumetric analysis of anatomic magnetic resonance images.

Naeini KM, Pope WB, Cloughesy TF, Harris RJ, Lai A, Eskin A, Chowdhury R, Phillips HS, Nghiemphu PL, Behbahanian Y, Ellingson BM.

Neuro Oncol. 2013 May;15(5):626-34. doi: 10.1093/neuonc/not008. Epub 2013 Feb 26.


Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma.

Dextraze K, Saha A, Kim D, Narang S, Lehrer M, Rao A, Narang S, Rao D, Ahmed S, Madhugiri V, Fuller CD, Kim MM, Krishnan S, Rao G, Rao A.

Oncotarget. 2017 Dec 5;8(68):112992-113001. doi: 10.18632/oncotarget.22947. eCollection 2017 Dec 22.


Relationship between contrast enhancement on fluid-attenuated inversion recovery MR sequences and signal intensity on T2-weighted MR images: visual evaluation of brain tumors.

Kubota T, Yamada K, Kizu O, Hirota T, Ito H, Ishihara K, Nishimura T.

J Magn Reson Imaging. 2005 Jun;21(6):694-700.


The influence of maximum safe resection of glioblastoma on survival in 1229 patients: Can we do better than gross-total resection?

Li YM, Suki D, Hess K, Sawaya R.

J Neurosurg. 2016 Apr;124(4):977-88. doi: 10.3171/2015.5.JNS142087. Epub 2015 Oct 23.


Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.

Zhou M, Chaudhury B, Hall LO, Goldgof DB, Gillies RJ, Gatenby RA.

J Magn Reson Imaging. 2017 Jul;46(1):115-123. doi: 10.1002/jmri.25497. Epub 2016 Sep 28.


Multiparametric Magnetic Resonance Imaging in the Assessment of Primary Brain Tumors Through Radiomic Features: A Metric for Guided Radiation Treatment Planning.

Florez E, Nichols T, E Parker E, T Lirette S, Howard CM, Fatemi A.

Cureus. 2018 Oct 8;10(10):e3426. doi: 10.7759/cureus.3426.


Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images.

Chang PD, Chow DS, Yang PH, Filippi CG, Lignelli A.

AJR Am J Roentgenol. 2017 Jan;208(1):57-65. doi: 10.2214/AJR.16.16234. Epub 2016 Oct 11.


Evaluation of the lactate-to-N-acetyl-aspartate ratio defined with magnetic resonance spectroscopic imaging before radiation therapy as a new predictive marker of the site of relapse in patients with glioblastoma multiforme.

Deviers A, Ken S, Filleron T, Rowland B, Laruelo A, Catalaa I, Lubrano V, Celsis P, Berry I, Mogicato G, Cohen-Jonathan Moyal E, Laprie A.

Int J Radiat Oncol Biol Phys. 2014 Oct 1;90(2):385-93. doi: 10.1016/j.ijrobp.2014.06.009. Epub 2014 Aug 4.


Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma.

Cui Y, Ren S, Tha KK, Wu J, Shirato H, Li R.

Eur Radiol. 2017 Sep;27(9):3583-3592. doi: 10.1007/s00330-017-4751-x. Epub 2017 Feb 6.


Correlation of MRI sequences to assess progressive glioblastoma multiforme treated with bevacizumab.

Thompson EM, Dosa E, Kraemer DF, Neuwelt EA.

J Neurooncol. 2011 Jun;103(2):353-60. doi: 10.1007/s11060-010-0397-0. Epub 2010 Sep 17.


Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma.

van Dijken BRJ, Jan van Laar P, Li C, Yan JL, Boonzaier NR, Price SJ, van der Hoorn A.

J Neurosurg. 2018 Oct 1:1-7. doi: 10.3171/2018.5.JNS18340. [Epub ahead of print]


Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I-II trial of radiotherapy/tipifarnib combination.

Ken S, Deviers A, Filleron T, Catalaa I, Lotterie JA, Khalifa J, Lubrano V, Berry I, Péran P, Celsis P, Moyal EC, Laprie A.

J Neurooncol. 2015 Sep;124(3):465-73. doi: 10.1007/s11060-015-1860-8. Epub 2015 Jul 19.


Utilizing 18F-fluoroethyltyrosine (FET) positron emission tomography (PET) to define suspected nonenhancing tumor for radiation therapy planning of glioblastoma.

Hayes AR, Jayamanne D, Hsiao E, Schembri GP, Bailey DL, Roach PJ, Khasraw M, Newey A, Wheeler HR, Back M.

Pract Radiat Oncol. 2018 Jul - Aug;8(4):230-238. doi: 10.1016/j.prro.2018.01.006. Epub 2018 Jan 31.


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