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Items: 1 to 20 of 100

1.

Magnetic Resonance Imaging Parameters and Their Impact on Survival of Patients with Glioblastoma: Tumor Perfusion Predicts Survival.

Hou BL, Wen S, Katsevman GA, Liu H, Urhie O, Turner RC, Carpenter J, Bhatia S.

World Neurosurg. 2018 Dec 27. pii: S1878-8750(18)32908-5. doi: 10.1016/j.wneu.2018.12.085. [Epub ahead of print]

PMID:
30593971
2.

Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.

Burth S, Kickingereder P, Eidel O, Tichy D, Bonekamp D, Weberling L, Wick A, Löw S, Hertenstein A, Nowosielski M, Schlemmer HP, Wick W, Bendszus M, Radbruch A.

Neuro Oncol. 2016 Dec;18(12):1673-1679. Epub 2016 Jun 13.

3.

Use of magnetic perfusion-weighted imaging to determine epidermal growth factor receptor variant III expression in glioblastoma.

Tykocinski ES, Grant RA, Kapoor GS, Krejza J, Bohman LE, Gocke TA, Chawla S, Halpern CH, Lopinto J, Melhem ER, O'Rourke DM.

Neuro Oncol. 2012 May;14(5):613-23. doi: 10.1093/neuonc/nos073. Epub 2012 Apr 4.

4.

Impact of removed tumor volume and location on patient outcome in glioblastoma.

Awad AW, Karsy M, Sanai N, Spetzler R, Zhang Y, Xu Y, Mahan MA.

J Neurooncol. 2017 Oct;135(1):161-171. doi: 10.1007/s11060-017-2562-1. Epub 2017 Jul 6.

PMID:
28685405
5.

Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.

Jain R, Poisson LM, Gutman D, Scarpace L, Hwang SN, Holder CA, Wintermark M, Rao A, Colen RR, Kirby J, Freymann J, Jaffe CC, Mikkelsen T, Flanders A.

Radiology. 2014 Aug;272(2):484-93. doi: 10.1148/radiol.14131691. Epub 2014 Mar 19.

6.

Differentiating primary CNS lymphoma from glioblastoma multiforme: assessment using arterial spin labeling, diffusion-weighted imaging, and ¹⁸F-fluorodeoxyglucose positron emission tomography.

Yamashita K, Yoshiura T, Hiwatashi A, Togao O, Yoshimoto K, Suzuki SO, Abe K, Kikuchi K, Maruoka Y, Mizoguchi M, Iwaki T, Honda H.

Neuroradiology. 2013 Feb;55(2):135-43. doi: 10.1007/s00234-012-1089-6. Epub 2012 Sep 9.

PMID:
22961074
7.

Tumor blood flow from arterial spin labeling perfusion MRI: a key parameter in distinguishing high-grade gliomas from primary cerebral lymphomas, and in predicting genetic biomarkers in high-grade gliomas.

Yoo RE, Choi SH, Cho HR, Kim TM, Lee SH, Park CK, Park SH, Kim IH, Yun TJ, Kim JH, Sohn CH, Han MH, Chang KH.

J Magn Reson Imaging. 2013 Oct;38(4):852-60. doi: 10.1002/jmri.24026. Epub 2013 Feb 6.

PMID:
23390061
8.

Dynamics of FLAIR Volume Changes in Glioblastoma and Prediction of Survival.

Grossman R, Shimony N, Shir D, Gonen T, Sitt R, Kimchi TJ, Harosh CB, Ram Z.

Ann Surg Oncol. 2017 Mar;24(3):794-800. doi: 10.1245/s10434-016-5635-z. Epub 2016 Oct 20.

PMID:
27766560
9.

The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma.

Liu X, Mangla R, Tian W, Qiu X, Li D, Walter KA, Ekholm S, Johnson MD.

J Neurooncol. 2017 Dec;135(3):553-560. doi: 10.1007/s11060-017-2602-x. Epub 2017 Sep 9.

PMID:
28889246
10.

Correlation between arterial spin-labeling perfusion and histopathological vascular density of pediatric intracranial tumors.

Kikuchi K, Hiwatashi A, Togao O, Yamashita K, Yoshimoto K, Mizoguchi M, Suzuki SO, Iwaki T, Suzuki Y, Honda H.

J Neurooncol. 2017 Dec;135(3):561-569. doi: 10.1007/s11060-017-2604-8. Epub 2017 Aug 30.

PMID:
28856499
11.

Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma.

Paik W, Kim HS, Choi CG, Kim SJ.

Korean J Radiol. 2016 Jan-Feb;17(1):117-26. doi: 10.3348/kjr.2016.17.1.117. Epub 2016 Jan 6.

12.

Relative cerebral blood volume is a potential predictive imaging biomarker of bevacizumab efficacy in recurrent glioblastoma.

Kickingereder P, Wiestler B, Burth S, Wick A, Nowosielski M, Heiland S, Schlemmer HP, Wick W, Bendszus M, Radbruch A.

Neuro Oncol. 2015 Aug;17(8):1139-47. doi: 10.1093/neuonc/nov028. Epub 2015 Mar 9.

13.

Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients.

Ulyte A, Katsaros VK, Liouta E, Stranjalis G, Boskos C, Papanikolaou N, Usinskiene J, Bisdas S.

Neuroradiology. 2016 Dec;58(12):1197-1208. Epub 2016 Oct 29.

14.

Survival analysis in patients with newly diagnosed primary glioblastoma multiforme using pre- and post-treatment peritumoral perfusion imaging parameters.

Bag AK, Cezayirli PC, Davenport JJ, Gaddikeri S, Fathallah-Shaykh HM, Cantor A, Han XS, Nabors LB.

J Neurooncol. 2014 Nov;120(2):361-70. doi: 10.1007/s11060-014-1560-9. Epub 2014 Aug 7.

15.

Glioblastoma: Vascular Habitats Detected at Preoperative Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging Predict Survival.

Juan-Albarracín J, Fuster-Garcia E, Pérez-Girbés A, Aparici-Robles F, Alberich-Bayarri Á, Revert-Ventura A, Martí-Bonmatí L, García-Gómez JM.

Radiology. 2018 Jun;287(3):944-954. doi: 10.1148/radiol.2017170845. Epub 2018 Jan 19.

PMID:
29357274
16.

Association of overall survival in patients with newly diagnosed glioblastoma with contrast-enhanced perfusion MRI: Comparison of intraindividually matched T1 - and T2 (*) -based bolus techniques.

Bonekamp D, Deike K, Wiestler B, Wick W, Bendszus M, Radbruch A, Heiland S.

J Magn Reson Imaging. 2015 Jul;42(1):87-96. doi: 10.1002/jmri.24756. Epub 2014 Sep 22.

PMID:
25244574
17.

The Initial Area Under the Curve Derived from Dynamic Contrast-Enhanced MRI Improves Prognosis Prediction in Glioblastoma with Unmethylated MGMT Promoter.

Choi YS, Ahn SS, Lee HJ, Chang JH, Kang SG, Kim EH, Kim SH, Lee SK.

AJNR Am J Neuroradiol. 2017 Aug;38(8):1528-1535. doi: 10.3174/ajnr.A5265. Epub 2017 Jun 22.

18.

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models.

Kickingereder P, Burth S, Wick A, Götz M, Eidel O, Schlemmer HP, Maier-Hein KH, Wick W, Bendszus M, Radbruch A, Bonekamp D.

Radiology. 2016 Sep;280(3):880-9. doi: 10.1148/radiol.2016160845. Epub 2016 Jun 20.

PMID:
27326665
19.

The influence of intraoperative resection control modalities on survival following gross total resection of glioblastoma.

Neidert MC, Hostettler IC, Burkhardt JK, Mohme M, Held U, Kofmehl R, Eisele G, Woernle CM, Regli L, Bozinov O.

Neurosurg Rev. 2016 Jul;39(3):401-9. doi: 10.1007/s10143-015-0698-z. Epub 2016 Feb 9.

PMID:
26860420
20.

Large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients.

Zhang M, Gulotta B, Thomas A, Kaley T, Karimi S, Gavrilovic I, Woo KM, Zhang Z, Arevalo-Perez J, Holodny AI, Rosenblum M, Young RJ.

Neuro Oncol. 2016 May;18(5):735-43. doi: 10.1093/neuonc/nov268. Epub 2015 Nov 3.

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