BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

272 related articles for article (PubMed ID: 31425809)

  • 1. 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]  

  • 2. 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]  

  • 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. 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]  

  • 5. 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]  

  • 6. MR diffusion kurtosis imaging predicts malignant potential and the histological type of meningioma.
    Xing F; Tu N; Koh TS; Wu G
    Eur J Radiol; 2017 Oct; 95():286-292. PubMed ID: 28987682
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma.
    Tonoyan AS; Pronin IN; Pitshelauri DI; Shishkina LV; Fadeeva LM; Pogosbekyan EL; Zakharova NE; Shults EI; Khachanova NV; Kornienko VN; Potapov AA
    Zh Vopr Neirokhir Im N N Burdenko; 2015; 79(6):5-14. PubMed ID: 26977789
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Diffusion kurtosis imaging histogram parameter metrics predicting survival in integrated molecular subtypes of diffuse glioma: An observational cohort study.
    Hempel JM; Brendle C; Bender B; Bier G; Kraus MS; Skardelly M; Richter H; Eckert F; Schittenhelm J; Ernemann U; Klose U
    Eur J Radiol; 2019 Mar; 112():144-152. PubMed ID: 30777204
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. Application of diffusion kurtosis tensor MR imaging in characterization of renal cell carcinomas with different pathological types and grades.
    Zhu J; Luo X; Gao J; Li S; Li C; Chen M
    Cancer Imaging; 2021 Mar; 21(1):30. PubMed ID: 33726862
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.