These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 30777204)

  • 1. 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]  

  • 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 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]  

  • 4. In vivo molecular profiling of human glioma using diffusion kurtosis imaging.
    Hempel JM; Bisdas S; Schittenhelm J; Brendle C; Bender B; Wassmann H; Skardelly M; Tabatabai G; Vega SC; Ernemann U; Klose U
    J Neurooncol; 2017 Jan; 131(1):93-101. PubMed ID: 27604789
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Contrast enhancement predicting survival in integrated molecular subtypes of diffuse glioma: an observational cohort study.
    Hempel JM; Brendle C; Bender B; Bier G; Skardelly M; Gepfner-Tuma I; Eckert F; Ernemann U; Schittenhelm J
    J Neurooncol; 2018 Sep; 139(2):373-381. PubMed ID: 29667086
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 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. 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]  

  • 9. Effect of Perfusion on Diffusion Kurtosis Imaging Estimates for In Vivo Assessment of Integrated 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
    Clin Neuroradiol; 2018 Dec; 28(4):481-491. PubMed ID: 28702832
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Whole-Tumor Histogram Analysis of Multiple Diffusion Metrics for Glioma Genotyping.
    Gao A; Zhang H; Yan X; Wang S; Chen Q; Gao E; Qi J; Bai J; Zhang Y; Cheng J
    Radiology; 2022 Mar; 302(3):652-661. PubMed ID: 34874198
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Applying MAP-MRI to Identify the WHO Grade and Main Genetic Features of Adult-type Diffuse Gliomas: A Comparison of Three Diffusion-weighted MRI Models.
    Wang P; He J; Ma X; Weng L; Wu Q; Zhao P; Ban C; Hao X; Hao Z; Yuan P; Hao F; Wang S; Zhang H; Xie S; Gao Y
    Acad Radiol; 2023 Jul; 30(7):1238-1246. PubMed ID: 36347664
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI: Single-Shell versus Multishell Diffusion Models.
    Figini M; Riva M; Graham M; Castelli GM; Fernandes B; Grimaldi M; Baselli G; Pessina F; Bello L; Zhang H; Bizzi A
    Radiology; 2018 Dec; 289(3):788-796. PubMed ID: 30277427
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of Genetic Profiles and Prognosis of High-Grade Gliomas Using Quantitative and Qualitative MRI Features: A Focus on G3 Gliomas.
    Hong EK; Choi SH; Shin DJ; Jo SW; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH; Park SH; Won JK; Kim TM; Park CK; Kim IH; Lee ST
    Korean J Radiol; 2021 Feb; 22(2):233-242. PubMed ID: 32932560
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing the value of DKI and DTI in detecting isocitrate dehydrogenase genotype of astrocytomas.
    Tan Y; Zhang H; Wang X; Qin J; Wang L; Yang G; Yan H
    Clin Radiol; 2019 Apr; 74(4):314-320. PubMed ID: 30771996
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combined texture analysis of dynamic contrast-enhanced MRI with histogram analysis of diffusion kurtosis imaging for predicting IDH mutational status in gliomas.
    Pan T; Su CQ; Tang WT; Lin J; Lu SS; Hong XN
    Acta Radiol; 2023 Sep; 64(9):2552-2560. PubMed ID: 37331987
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impact of gross total resection in patients with WHO grade III glioma harboring the IDH 1/2 mutation without the 1p/19q co-deletion.
    Kawaguchi T; Sonoda Y; Shibahara I; Saito R; Kanamori M; Kumabe T; Tominaga T
    J Neurooncol; 2016 Sep; 129(3):505-514. PubMed ID: 27401154
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Genotype and Survival in Glioma Using Standard Clinical MR Imaging Apparent Diffusion Coefficient Images: A Pilot Study from The Cancer Genome Atlas.
    Wu CC; Jain R; Radmanesh A; Poisson LM; Guo WY; Zagzag D; Snuderl M; Placantonakis DG; Golfinos J; Chi AS
    AJNR Am J Neuroradiol; 2018 Oct; 39(10):1814-1820. PubMed ID: 30190259
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SHOX2 is a Potent Independent Biomarker to Predict Survival of WHO Grade II-III Diffuse Gliomas.
    Zhang YA; Zhou Y; Luo X; Song K; Ma X; Sathe A; Girard L; Xiao G; Gazdar AF
    EBioMedicine; 2016 Nov; 13():80-89. PubMed ID: 27840009
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ATRX loss refines the classification of anaplastic gliomas and identifies a subgroup of IDH mutant astrocytic tumors with better prognosis.
    Wiestler B; Capper D; Holland-Letz T; Korshunov A; von Deimling A; Pfister SM; Platten M; Weller M; Wick W
    Acta Neuropathol; 2013 Sep; 126(3):443-51. PubMed ID: 23904111
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.