185 related articles for article (PubMed ID: 34793876)
1. Application of diffusion kurtosis imaging to the study of edema in solid and peritumoral areas of glioma.
Qiu J; Deng K; Wang P; Chen C; Luo Y; Yuan S; Wen J
Magn Reson Imaging; 2022 Feb; 86():10-16. PubMed ID: 34793876
[TBL] [Abstract][Full Text] [Related]
2. Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status.
Zhao J; Wang YL; Li XB; Hu MS; Li ZH; Song YK; Wang JY; Tian YS; Liu DW; Yan X; Jiang L; Yang ZY; Chu JP
J Neurooncol; 2019 Jan; 141(1):195-203. PubMed ID: 30414095
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Evaluation of diffuse glioma grade and proliferation activity by different diffusion-weighted-imaging models including diffusion kurtosis imaging (DKI) and mean apparent propagator (MAP) MRI.
Xie SH; Lang R; Li B; Zhao H; Wang P; He JL; Ma XY; Wu Q; Wang SY; Zhang HP; Gao Y; Wu JL
Neuroradiology; 2023 Jan; 65(1):55-64. PubMed ID: 35835879
[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. Differentiating high-grade glioma recurrence from pseudoprogression: Comparing diffusion kurtosis imaging and diffusion tensor imaging.
Wu XF; Liang X; Wang XC; Qin JB; Zhang L; Tan Y; Zhang H
Eur J Radiol; 2021 Feb; 135():109445. PubMed ID: 33341429
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models.
Mao J; Zeng W; Zhang Q; Yang Z; Yan X; Zhang H; Wang M; Yang G; Zhou M; Shen J
BMC Med Imaging; 2020 Nov; 20(1):124. PubMed ID: 33228564
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Differentiation of high-grade-astrocytomas from solitary-brain-metastases: Comparing diffusion kurtosis imaging and diffusion tensor imaging.
Tan Y; Wang XC; Zhang H; Wang J; Qin JB; Wu XF; Zhang L; Wang L
Eur J Radiol; 2015 Dec; 84(12):2618-24. PubMed ID: 26482747
[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. Quantitative MRI for analysis of peritumoral edema in malignant gliomas.
Blystad I; Warntjes JBM; Smedby Ö; Lundberg P; Larsson EM; Tisell A
PLoS One; 2017; 12(5):e0177135. PubMed ID: 28542553
[TBL] [Abstract][Full Text] [Related]
14. Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation.
Jiang R; Jiang J; Zhao L; Zhang J; Zhang S; Yao Y; Yang S; Shi J; Shen N; Su C; Zhang J; Zhu W
Oncotarget; 2015 Dec; 6(39):42380-93. PubMed ID: 26544514
[TBL] [Abstract][Full Text] [Related]
15. Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading.
Pogosbekian EL; Pronin IN; Zakharova NE; Batalov AI; Turkin AM; Konakova TA; Maximov II
Neuroradiology; 2021 Aug; 63(8):1241-1251. PubMed ID: 33410948
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. 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]
20. The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the grading of cerebral gliomas: a meta-analysis.
Luan J; Wu M; Wang X; Qiao L; Guo G; Zhang C
Radiat Oncol; 2020 Aug; 15(1):204. PubMed ID: 32831106
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
