211 related articles for article (PubMed ID: 25977481)
1. Mean Diffusional Kurtosis in Patients with Glioma: Initial Results with a Fast Imaging Method in a Clinical Setting.
Tietze A; Hansen MB; Østergaard L; Jespersen SN; Sangill R; Lund TE; Geneser M; Hjelm M; Hansen B
AJNR Am J Neuroradiol; 2015 Aug; 36(8):1472-8. PubMed ID: 25977481
[TBL] [Abstract][Full Text] [Related]
2. Gliomas: diffusion kurtosis MR imaging in grading.
Van Cauter S; Veraart J; Sijbers J; Peeters RR; Himmelreich U; De Keyzer F; Van Gool SW; Van Calenbergh F; De Vleeschouwer S; Van Hecke W; Sunaert S
Radiology; 2012 May; 263(2):492-501. PubMed ID: 22403168
[TBL] [Abstract][Full Text] [Related]
3. Diffusional kurtosis imaging for differentiating between high-grade glioma and primary central nervous system lymphoma.
Pang H; Ren Y; Dang X; Feng X; Yao Z; Wu J; Yao C; Di N; Ghinda DC; Zhang Y
J Magn Reson Imaging; 2016 Jul; 44(1):30-40. PubMed ID: 26588793
[TBL] [Abstract][Full Text] [Related]
4. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.
Bai Y; Lin Y; Tian J; Shi D; Cheng J; Haacke EM; Hong X; Ma B; Zhou J; Wang M
Radiology; 2016 Feb; 278(2):496-504. PubMed ID: 26230975
[TBL] [Abstract][Full Text] [Related]
5. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.
Raab P; Hattingen E; Franz K; Zanella FE; Lanfermann H
Radiology; 2010 Mar; 254(3):876-81. PubMed ID: 20089718
[TBL] [Abstract][Full Text] [Related]
6. Diffusion kurtosis imaging combined with molecular markers as a comprehensive approach to predict overall survival in patients with gliomas.
Wang X; Li F; Wang D; Zeng Q
Eur J Radiol; 2020 Jul; 128():108985. PubMed ID: 32361603
[TBL] [Abstract][Full Text] [Related]
7. Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery.
Qi XX; Shi DF; Ren SX; Zhang SY; Li L; Li QC; Guan LM
Eur Radiol; 2018 Apr; 28(4):1748-1755. PubMed ID: 29143940
[TBL] [Abstract][Full Text] [Related]
8. Histogram analysis of diffusion kurtosis imaging estimates for in vivo assessment of 2016 WHO glioma grades: A cross-sectional observational study.
Hempel JM; Schittenhelm J; Brendle C; Bender B; Bier G; Skardelly M; Tabatabai G; Castaneda Vega S; Ernemann U; Klose U
Eur J Radiol; 2017 Oct; 95():202-211. PubMed ID: 28987669
[TBL] [Abstract][Full Text] [Related]
9. In vivo assessment of tumor heterogeneity in WHO 2016 glioma grades using diffusion kurtosis imaging: Diagnostic performance and improvement of feasibility in routine clinical practice.
Hempel JM; Schittenhelm J; Bisdas S; Brendle C; Bender B; Bier G; Skardelly M; Tabatabai G; Castaneda Vega S; Ernemann U; Klose U
J Neuroradiol; 2018 Feb; 45(1):32-40. PubMed ID: 28865921
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas.
Raja R; Sinha N; Saini J; Mahadevan A; Rao KN; Swaminathan A
Neuroradiology; 2016 Dec; 58(12):1217-1231. PubMed ID: 27796448
[TBL] [Abstract][Full Text] [Related]
12. Diffusion kurtosis imaging as an imaging biomarker for predicting prognosis of the patients with high-grade gliomas.
Wang X; Gao W; Li F; Shi W; Li H; Zeng Q
Magn Reson Imaging; 2019 Nov; 63():131-136. PubMed ID: 31425809
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of histopathological changes in the microstructure at the center and periphery of glioma tumors using diffusional kurtosis imaging.
Li F; Shi W; Wang D; Xu Y; Li H; He J; Zeng Q
Clin Neurol Neurosurg; 2016 Dec; 151():120-127. PubMed ID: 27825037
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of cerebral glioma using 3T diffusion kurtosis tensor imaging and the relationship between diffusion kurtosis metrics and tumor cellularity.
Qi C; Yang S; Meng L; Chen H; Li Z; Wang S; Jiang T; Li S
J Int Med Res; 2017 Aug; 45(4):1347-1358. PubMed ID: 28587542
[TBL] [Abstract][Full Text] [Related]
15. The role of MR diffusion kurtosis and neurite orientation dispersion and density imaging in evaluating gliomas.
Genç B; Aslan K; Özçağlayan A; İncesu L
J Neuroimaging; 2023; 33(4):644-651. PubMed ID: 37170070
[TBL] [Abstract][Full Text] [Related]
16. The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas from other intra-axial brain tumours: a systematic review with critical appraisal and meta-analysis.
Abdalla G; Dixon L; Sanverdi E; Machado PM; Kwong JSW; Panovska-Griffiths J; Rojas-Garcia A; Yoneoka D; Veraart J; Van Cauter S; Abdel-Khalek AM; Settein M; Yousry T; Bisdas S
Neuroradiology; 2020 Jul; 62(7):791-802. PubMed ID: 32367349
[TBL] [Abstract][Full Text] [Related]
17. Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas.
Van Cauter S; De Keyzer F; Sima DM; Sava AC; D'Arco F; Veraart J; Peeters RR; Leemans A; Van Gool S; Wilms G; Demaerel P; Van Huffel S; Sunaert S; Himmelreich U
Neuro Oncol; 2014 Jul; 16(7):1010-21. PubMed ID: 24470551
[TBL] [Abstract][Full Text] [Related]
18. Grading and proliferation assessment of diffuse astrocytic tumors with monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging and diffusion kurtosis imaging.
Zhang J; Chen X; Chen D; Wang Z; Li S; Zhu W
Eur J Radiol; 2018 Dec; 109():188-195. PubMed ID: 30527302
[TBL] [Abstract][Full Text] [Related]
19. Value of diffusion kurtosis imaging in assessing low-grade gliomas.
Goryawala MZ; Heros DO; Komotar RJ; Sheriff S; Saraf-Lavi E; Maudsley AA
J Magn Reson Imaging; 2018 Dec; 48(6):1551-1558. PubMed ID: 29573042
[TBL] [Abstract][Full Text] [Related]
20. Comparative Analysis of Diffusional Kurtosis Imaging, Diffusion Tensor Imaging, and Diffusion-Weighted Imaging in Grading and Assessing Cellular Proliferation of Meningiomas.
Lin L; Bhawana R; Xue Y; Duan Q; Jiang R; Chen H; Chen X; Sun B; Lin H
AJNR Am J Neuroradiol; 2018 Jun; 39(6):1032-1038. PubMed ID: 29748203
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
