392 related articles for article (PubMed ID: 24183513)
1. Differentiation between low-grade and high-grade glioma using combined diffusion tensor imaging metrics.
Ma L; Song ZJ
Clin Neurol Neurosurg; 2013 Dec; 115(12):2489-95. PubMed ID: 24183513
[TBL] [Abstract][Full Text] [Related]
2. Analysis of diffusion tensor imaging metrics for gliomas grading at 3 T.
Server A; Graff BA; Josefsen R; Orheim TE; Schellhorn T; Nordhøy W; Nakstad PH
Eur J Radiol; 2014 Mar; 83(3):e156-65. PubMed ID: 24457139
[TBL] [Abstract][Full Text] [Related]
3. 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; 5():396-407. PubMed ID: 25180159
[TBL] [Abstract][Full Text] [Related]
4. Diffusion tensor imaging provides an insight into the microstructure of meningiomas, high-grade gliomas, and peritumoral edema.
De Belder FE; Oot AR; Van Hecke W; Venstermans C; Menovsky T; Van Marck V; Van Goethem J; Van den Hauwe L; Vandekerckhove M; Parizel PM
J Comput Assist Tomogr; 2012; 36(5):577-82. PubMed ID: 22992609
[TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 20708868
[TBL] [Abstract][Full Text] [Related]
6. Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity.
Lee HY; Na DG; Song IC; Lee DH; Seo HS; Kim JH; Chang KH
J Comput Assist Tomogr; 2008; 32(2):298-303. PubMed ID: 18379322
[TBL] [Abstract][Full Text] [Related]
7. Peritumoral brain regions in gliomas and meningiomas: investigation with isotropic diffusion-weighted MR imaging and diffusion-tensor MR imaging.
Provenzale JM; McGraw P; Mhatre P; Guo AC; Delong D
Radiology; 2004 Aug; 232(2):451-60. PubMed ID: 15215555
[TBL] [Abstract][Full Text] [Related]
8. Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema.
Server A; Kulle B; Maehlen J; Josefsen R; Schellhorn T; Kumar T; Langberg CW; Nakstad PH
Acta Radiol; 2009 Jul; 50(6):682-9. PubMed ID: 19449234
[TBL] [Abstract][Full Text] [Related]
9. Differentiation of pure vasogenic edema and tumor-infiltrated edema in patients with peritumoral edema by analyzing the relationship of axial and radial diffusivities on 3.0T MRI.
Min ZG; Niu C; Rana N; Ji HM; Zhang M
Clin Neurol Neurosurg; 2013 Aug; 115(8):1366-70. PubMed ID: 23351840
[TBL] [Abstract][Full Text] [Related]
10. Value of diffusion tensor imaging in differentiating high-grade from low-grade gliomas.
Piyapittayanan S; Chawalparit O; Tritakarn SO; Witthiwej T; Sangruchi T; Nunta-Aree S; Sathornsumetee S; Itthimethin P; Komoltri C
J Med Assoc Thai; 2013 Jun; 96(6):716-21. PubMed ID: 23951830
[TBL] [Abstract][Full Text] [Related]
11. In the assessment of supratentorial glioma grade: the combined role of multivoxel proton MR spectroscopy and diffusion tensor imaging.
Zou QG; Xu HB; Liu F; Guo W; Kong XC; Wu Y
Clin Radiol; 2011 Oct; 66(10):953-60. PubMed ID: 21663899
[TBL] [Abstract][Full Text] [Related]
12. Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.
Wang S; Kim S; Chawla S; Wolf RL; Zhang WG; O'Rourke DM; Judy KD; Melhem ER; Poptani H
Neuroimage; 2009 Feb; 44(3):653-60. PubMed ID: 18951985
[TBL] [Abstract][Full Text] [Related]
13. [Application of diffusion tensor imaging in preoperation and postoperation patients of glioma with 3.0 Tesla MRI].
Li X; Yu RT; Xu K; Li FC; Fan YC; Gao WC; Guo KQ; Pan X; Yang C
Zhonghua Yi Xue Za Zhi; 2009 May; 89(19):1300-4. PubMed ID: 19615179
[TBL] [Abstract][Full Text] [Related]
14. Diffusion Tensor Imaging in brain tumors: A study on gliomas and metastases.
Papageorgiou TS; Chourmouzi D; Drevelengas A; Kouskouras K; Siountas A
Phys Med; 2015 Nov; 31(7):767-73. PubMed ID: 25866320
[TBL] [Abstract][Full Text] [Related]
15. Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.
Kang Y; Choi SH; Kim YJ; Kim KG; Sohn CH; Kim JH; Yun TJ; Chang KH
Radiology; 2011 Dec; 261(3):882-90. PubMed ID: 21969667
[TBL] [Abstract][Full Text] [Related]
16. Total magnitude of diffusion tensor imaging as an effective tool for the differentiation of glioma.
Smitha KA; Gupta AK; Jayasree RS
Eur J Radiol; 2013 May; 82(5):857-61. PubMed ID: 23394764
[TBL] [Abstract][Full Text] [Related]
17. Correlation of diffusion tensor, dynamic susceptibility contrast MRI and (99m)Tc-Tetrofosmin brain SPECT with tumour grade and Ki-67 immunohistochemistry in glioma.
Alexiou GA; Zikou A; Tsiouris S; Goussia A; Kosta P; Papadopoulos A; Voulgaris S; Kyritsis AP; Fotopoulos AD; Argyropoulou MI
Clin Neurol Neurosurg; 2014 Jan; 116():41-5. PubMed ID: 24309151
[TBL] [Abstract][Full Text] [Related]
18. Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation.
Lee J; Choi SH; Kim JH; Sohn CH; Lee S; Jeong J
NMR Biomed; 2014 Sep; 27(9):1046-52. PubMed ID: 25042540
[TBL] [Abstract][Full Text] [Related]
19. Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques.
Svolos P; Tsolaki E; Kapsalaki E; Theodorou K; Fountas K; Fezoulidis I; Tsougos I
Magn Reson Imaging; 2013 Nov; 31(9):1567-77. PubMed ID: 23906533
[TBL] [Abstract][Full Text] [Related]
20. Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics.
Wang S; Kim S; Zhang Y; Wang L; Lee EB; Syre P; Poptani H; Melhem ER; Lee JY
Radiology; 2012 Feb; 262(2):584-92. PubMed ID: 22084207
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]