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Items: 1 to 20 of 142

1.

Magnetic resonance analysis of malignant transformation in recurrent glioma.

Jalbert LE, Neill E, Phillips JJ, Lupo JM, Olson MP, Molinaro AM, Berger MS, Chang SM, Nelson SJ.

Neuro Oncol. 2016 Aug;18(8):1169-79. doi: 10.1093/neuonc/now008. Epub 2016 Feb 23.

2.

Metabolic approach for tumor delineation in glioma surgery: 3D MR spectroscopy image-guided resection.

Zhang J, Zhuang DX, Yao CJ, Lin CP, Wang TL, Qin ZY, Wu JS.

J Neurosurg. 2016 Jun;124(6):1585-93. doi: 10.3171/2015.6.JNS142651. Epub 2015 Dec 4.

PMID:
26636387
3.

Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.

Neill E, Luks T, Dayal M, Phillips JJ, Perry A, Jalbert LE, Cha S, Molinaro A, Chang SM, Nelson SJ.

J Neurooncol. 2017 Mar;132(1):171-179. doi: 10.1007/s11060-016-2355-y. Epub 2017 Jan 25.

4.

Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.

Yan R, Haopeng P, Xiaoyuan F, Jinsong W, Jiawen Z, Chengjun Y, Tianming Q, Ji X, Mao S, Yueyue D, Yong Z, Jianfeng L, Zhenwei Y.

Neuroradiology. 2016 Feb;58(2):121-32. doi: 10.1007/s00234-015-1606-5. Epub 2015 Oct 22.

PMID:
26494463
5.

The role of imaging in the management of adults with diffuse low grade glioma: A systematic review and evidence-based clinical practice guideline.

Fouke SJ, Benzinger T, Gibson D, Ryken TC, Kalkanis SN, Olson JJ.

J Neurooncol. 2015 Dec;125(3):457-79. doi: 10.1007/s11060-015-1908-9. Epub 2015 Nov 3. Review.

PMID:
26530262
6.

Comparison of three different MR perfusion techniques and MR spectroscopy for multiparametric assessment in distinguishing recurrent high-grade gliomas from stable disease.

Seeger A, Braun C, Skardelly M, Paulsen F, Schittenhelm J, Ernemann U, Bisdas S.

Acad Radiol. 2013 Dec;20(12):1557-65. doi: 10.1016/j.acra.2013.09.003.

PMID:
24200483
7.

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.

Sauwen N, Acou M, Van Cauter S, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Van Huffel S.

Neuroimage Clin. 2016 Sep 30;12:753-764. eCollection 2016.

8.

Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy.

Constantin A, Elkhaled A, Jalbert L, Srinivasan R, Cha S, Chang SM, Bajcsy R, Nelson SJ.

Artif Intell Med. 2012 May;55(1):61-70. doi: 10.1016/j.artmed.2012.01.002. Epub 2012 Mar 3.

9.

Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?

Weber MA, Henze M, Tüttenberg J, Stieltjes B, Meissner M, Zimmer F, Burkholder I, Kroll A, Combs SE, Vogt-Schaden M, Giesel FL, Zoubaa S, Haberkorn U, Kauczor HU, Essig M.

Invest Radiol. 2010 Dec;45(12):755-68. doi: 10.1097/RLI.0b013e3181ec9db0.

PMID:
20829706
10.

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.

11.

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Inano R, Oishi N, Kunieda T, Arakawa Y, Yamao Y, Shibata S, Kikuchi T, Fukuyama H, Miyamoto S.

Neuroimage Clin. 2014 Aug 7;5:396-407. doi: 10.1016/j.nicl.2014.08.001. eCollection 2014.

12.

Multiparametric evaluation of low grade gliomas at follow-up: comparison between diffusion and perfusion MR with (18)F-FDOPA PET.

Rossi Espagnet MC, Romano A, Mancuso V, Cicone F, Napolitano A, Scaringi C, Minniti G, Bozzao A.

Br J Radiol. 2016 Oct;89(1066):20160476. doi: 10.1259/bjr.20160476. Epub 2016 Aug 9.

13.

Progressive Low-Grade Glioma: Assessment of Prognostic Importance of Histologic Reassessment and MRI Findings.

Narang AK, Chaichana KL, Weingart JD, Redmond KJ, Lim M, Olivi A, Quinones-Hinojosa A, Kleinberg LR.

World Neurosurg. 2017 Mar;99:751-757. doi: 10.1016/j.wneu.2016.04.030. Epub 2016 Apr 19.

PMID:
27108796
14.

Glioma Grade Discrimination with MR Diffusion Kurtosis Imaging: A Meta-Analysis of Diagnostic Accuracy.

Falk Delgado A, Nilsson M, van Westen D, Falk Delgado A.

Radiology. 2018 Apr;287(1):119-127. doi: 10.1148/radiol.2017171315. Epub 2017 Dec 4.

PMID:
29206593
15.

First intraoperative, shared-resource, ultrahigh-field 3-Tesla magnetic resonance imaging system and its application in low-grade glioma resection.

Pamir MN, Ozduman K, Dinçer A, Yildiz E, Peker S, Ozek MM.

J Neurosurg. 2010 Jan;112(1):57-69. doi: 10.3171/2009.3.JNS081139.

PMID:
19480544
16.

Anaplastic transformation of low-grade gliomas (WHO II) on magnetic resonance imaging.

Bobek-Billewicz B, Stasik-Pres G, Hebda A, Majchrzak K, Kaspera W, Jurkowski M.

Folia Neuropathol. 2014;52(2):128-40.

17.

Tumor growth dynamics in serially-imaged low-grade glioma patients.

Gui C, Kosteniuk SE, Lau JC, Megyesi JF.

J Neurooncol. 2018 Aug;139(1):167-175. doi: 10.1007/s11060-018-2857-x. Epub 2018 Apr 9.

PMID:
29633111
18.

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

Zhang X, Yan LF, Hu YC, Li G, Yang Y, Han Y, Sun YZ, Liu ZC, Tian Q, Han ZY, Liu LD, Hu BQ, Qiu ZY, Wang W, Cui GB.

Oncotarget. 2017 Jul 18;8(29):47816-47830. doi: 10.18632/oncotarget.18001.

19.

Focal changes in diffusivity on apparent diffusion coefficient MR imaging and amino acid uptake on PET do not colocalize in nonenhancing low-grade gliomas.

Rahm V, Boxheimer L, Bruehlmeier M, Berberat J, Nitzsche EU, Remonda L, Roelcke U.

J Nucl Med. 2014 Apr;55(4):546-50. doi: 10.2967/jnumed.113.130732. Epub 2014 Feb 24.

20.

Introduction of a standardized multimodality image protocol for navigation-guided surgery of suspected low-grade gliomas.

Mert A, Kiesel B, Wöhrer A, Martínez-Moreno M, Minchev G, Furtner J, Knosp E, Wolfsberger S, Widhalm G.

Neurosurg Focus. 2015 Jan;38(1):E4. doi: 10.3171/2014.10.FOCUS14597.

PMID:
25552284

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