BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 33336439)

  • 1. Editorial for "Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features".
    Kugel H
    J Magn Reson Imaging; 2021 May; 53(5):1408-1409. PubMed ID: 33336439
    [No Abstract]   [Full Text] [Related]  

  • 2. Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.
    Peng H; Huo J; Li B; Cui Y; Zhang H; Zhang L; Ma L
    J Magn Reson Imaging; 2021 May; 53(5):1399-1407. PubMed ID: 33179832
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multivariable non-invasive association of isocitrate dehydrogenase mutational status in World Health Organization grade II and III gliomas with advanced magnetic resonance imaging T2 mapping techniques.
    Kern M; Auer TA; Fehrenbach U; Tanyildizi Y; Picht T; Misch M; Wiener E
    Neuroradiol J; 2020 Apr; 33(2):160-168. PubMed ID: 31957551
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI.
    Jiang S; Zou T; Eberhart CG; Villalobos MAV; Heo HY; Zhang Y; Wang Y; Wang X; Yu H; Du Y; van Zijl PCM; Wen Z; Zhou J
    Magn Reson Med; 2017 Sep; 78(3):1100-1109. PubMed ID: 28714279
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation.
    Shi X; Zhang X; Iwamoto Y; Cheng J; Bai J; Zhao G; Chen YW
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():198-202. PubMed ID: 36086447
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status.
    Park CJ; Choi YS; Park YW; Ahn SS; Kang SG; Chang JH; Kim SH; Lee SK
    Neuroradiology; 2020 Mar; 62(3):319-326. PubMed ID: 31820065
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Noninvasive Determination of the IDH Status of Gliomas Using MRI and MRI-Based Radiomics: Impact on Diagnosis and Prognosis.
    Li Y; Qin Q; Zhang Y; Cao Y
    Curr Oncol; 2022 Sep; 29(10):6893-6907. PubMed ID: 36290819
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
    Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
    J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Whole brain morphologic features improve the predictive accuracy of IDH status and VEGF expression levels in gliomas.
    Zhang S; Chen D; Sun H; Kemp GJ; Chen Y; Tan Q; Yang Y; Gong Q; Yue Q
    Cereb Cortex; 2024 Apr; 34(4):. PubMed ID: 38642107
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of Radiomics Analyses Based on Different Magnetic Resonance Imaging Sequences in Grading and Molecular Genomic Typing of Glioma.
    Huang WY; Wen LH; Wu G; Hu MZ; Zhang CC; Chen F; Zhao JN
    J Comput Assist Tomogr; 2021 Jan-Feb 01; 45(1):110-120. PubMed ID: 33475317
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
    Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.
    Wu S; Meng J; Yu Q; Li P; Fu S
    J Cancer Res Clin Oncol; 2019 Mar; 145(3):543-550. PubMed ID: 30719536
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI Features and IDH Mutational Status of Grade II Diffuse Gliomas: Impact on Diagnosis and Prognosis.
    Villanueva-Meyer JE; Wood MD; Choi BS; Mabray MC; Butowski NA; Tihan T; Cha S
    AJR Am J Roentgenol; 2018 Mar; 210(3):621-628. PubMed ID: 29261348
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Association between Whole-Brain MR Spectroscopy and IDH Mutation Status in Gliomas.
    Goryawala M; Saraf-Lavi E; Nagornaya N; Heros D; Komotar R; Maudsley AA
    J Neuroimaging; 2020 Jan; 30(1):58-64. PubMed ID: 31868291
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated machine learning to predict the co-occurrence of isocitrate dehydrogenase mutations and O
    Zhang S; Sun H; Su X; Yang X; Wang W; Wan X; Tan Q; Chen N; Yue Q; Gong Q
    J Magn Reson Imaging; 2021 Jul; 54(1):197-205. PubMed ID: 33393131
    [TBL] [Abstract][Full Text] [Related]  

  • 19. World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient.
    Maynard J; Okuchi S; Wastling S; Busaidi AA; Almossawi O; Mbatha W; Brandner S; Jaunmuktane Z; Koc AM; Mancini L; Jäger R; Thust S
    Radiology; 2020 Jul; 296(1):111-121. PubMed ID: 32315266
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MR Imaging-derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas.
    Stadlbauer A; Zimmermann M; Kitzwögerer M; Oberndorfer S; Rössler K; Dörfler A; Buchfelder M; Heinz G
    Radiology; 2017 Jun; 283(3):799-809. PubMed ID: 27982759
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.