BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

693 related articles for article (PubMed ID: 33121211)

  • 21. Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.
    Lu J; Xu W; Chen X; Wang T; Li H
    Magn Reson Imaging; 2023 Dec; 104():72-79. PubMed ID: 37778708
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.
    Yuan J; Siakallis L; Li HB; Brandner S; Zhang J; Li C; Mancini L; Bisdas S
    BMC Med Imaging; 2024 May; 24(1):104. PubMed ID: 38702613
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI.
    Gu T; Yang T; Huang J; Yu J; Ying H; Xiao X
    Aging (Albany NY); 2021 Mar; 13(7):9948-9959. PubMed ID: 33795525
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomic study on preoperative multi-modal magnetic resonance images identifies IDH-mutant TERT promoter-mutant gliomas.
    Wang H; Zhang S; Xing X; Yue Q; Feng W; Chen S; Zhang J; Xie D; Chen N; Liu Y
    Cancer Med; 2023 Feb; 12(3):2524-2537. PubMed ID: 36176070
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 26. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.
    Li Y; Qian Z; Xu K; Wang K; Fan X; Li S; Jiang T; Liu X; Wang Y
    Neuroimage Clin; 2018; 17():306-311. PubMed ID: 29527478
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes.
    Foltyn-Dumitru M; Schell M; Rastogi A; Sahm F; Kessler T; Wick W; Bendszus M; Brugnara G; Vollmuth P
    Eur Radiol; 2024 Apr; 34(4):2782-2790. PubMed ID: 37672053
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Volume-based histogram analysis of dynamic contrast-enhanced MRI for estimation of gliomas IDH1 mutation status.
    Hu Y; Zhang N; Yu MH; Zhou XJ; Ge M; Shen DD; Hua Y; Shi JL; Jia ZZ
    Eur J Radiol; 2020 Oct; 131():109247. PubMed ID: 32891974
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Brain T1ρ mapping for grading and IDH1 gene mutation detection of gliomas: a preliminary study.
    Cao M; Ding W; Han X; Suo S; Sun Y; Wang Y; Qu J; Zhang X; Zhou Y
    J Neurooncol; 2019 Jan; 141(1):245-252. PubMed ID: 30414094
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.
    Su X; Chen N; Sun H; Liu Y; Yang X; Wang W; Zhang S; Tan Q; Su J; Gong Q; Yue Q
    Neuro Oncol; 2020 Mar; 22(3):393-401. PubMed ID: 31563963
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.
    Liu T; Cheng G; Kang X; Xi Y; Zhu Y; Wang K; Sun C; Ye J; Li P; Yin H
    Neuroradiology; 2018 Jul; 60(7):693-702. PubMed ID: 29777252
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Glioma grading and IDH1 mutational status: assessment by intravoxel incoherent motion MRI.
    Wang X; Chen XZ; Shi L; Dai JP
    Clin Radiol; 2019 Aug; 74(8):651.e7-651.e14. PubMed ID: 31014573
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multimodal MRI-based radiomic nomogram for predicting telomerase reverse transcriptase promoter mutation in IDH-wildtype histological lower-grade gliomas.
    Huo X; Wang Y; Ma S; Zhu S; Wang K; Ji Q; Chen F; Wang L; Wu Z; Li W
    Medicine (Baltimore); 2023 Dec; 102(51):e36581. PubMed ID: 38134061
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas.
    Jiang C; Kong Z; Zhang Y; Liu S; Liu Z; Chen W; Liu P; Liu D; Wang Y; Lyu Y; Zhao D; Wang Y; You H; Feng F; Ma W
    Neuroradiology; 2020 Jul; 62(7):803-813. PubMed ID: 32239241
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.
    Zhao J; Huang Y; Song Y; Xie D; Hu M; Qiu H; Chu J
    Eur Radiol; 2020 Aug; 30(8):4664-4674. PubMed ID: 32193643
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.
    Zhang B; Chang K; Ramkissoon S; Tanguturi S; Bi WL; Reardon DA; Ligon KL; Alexander BM; Wen PY; Huang RY
    Neuro Oncol; 2017 Jan; 19(1):109-117. PubMed ID: 27353503
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. 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]  

  • 40. Amide Proton Transfer Imaging in Predicting Isocitrate Dehydrogenase 1 Mutation Status of Grade II/III Gliomas Based on Support Vector Machine.
    Han Y; Wang W; Yang Y; Sun YZ; Xiao G; Tian Q; Zhang J; Cui GB; Yan LF
    Front Neurosci; 2020; 14():144. PubMed ID: 32153362
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 35.