BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

447 related articles for article (PubMed ID: 33553421)

  • 21. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
    Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
    Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. 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]  

  • 25. Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas.
    Setyawan NH; Choridah L; Nugroho HA; Malueka RG; Dwianingsih EK
    Cancer Imaging; 2024 Jan; 24(1):3. PubMed ID: 38167551
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development and validation of clinical-radiomics analysis for preoperative prediction of IDH mutation status and WHO grade in diffuse gliomas: a consecutive L-[methyl-11C] methionine cohort study with two PET scanners.
    Zhou W; Wen J; Huang Q; Zeng Y; Zhou Z; Zhu Y; Chen L; Guan Y; Xie F; Zhuang D; Hua T
    Eur J Nucl Med Mol Imaging; 2024 Apr; 51(5):1423-1435. PubMed ID: 38110710
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II-III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI.
    Wang X; Cao M; Chen H; Ge J; Suo S; Zhou Y
    Radiol Oncol; 2020 Jun; 54(3):301-310. PubMed ID: 32559177
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. 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]  

  • 31. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
    Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
    Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas.
    Park CJ; Han K; Kim H; Ahn SS; Choi YS; Park YW; Chang JH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Dec; 30(12):6464-6474. PubMed ID: 32740813
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
    Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
    Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.
    De Looze C; Beausang A; Cryan J; Loftus T; Buckley PG; Farrell M; Looby S; Reilly R; Brett F; Kearney H
    J Neurooncol; 2018 Sep; 139(2):491-499. PubMed ID: 29770897
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.
    Li Y; Liu X; Qian Z; Sun Z; Xu K; Wang K; Fan X; Zhang Z; Li S; Wang Y; Jiang T
    Eur Radiol; 2018 Jul; 28(7):2960-2968. PubMed ID: 29404769
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. 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]  

  • 39. Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of
    Park YW; Han K; Ahn SS; Choi YS; Chang JH; Kim SH; Kang SG; Kim EH; Lee SK
    AJNR Am J Neuroradiol; 2018 Apr; 39(4):693-698. PubMed ID: 29519794
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MRI Features May Predict Molecular Features of Glioblastoma in
    Park CJ; Han K; Kim H; Ahn SS; Choi D; Park YW; Chang JH; Kim SH; Cha S; Lee SK
    AJNR Am J Neuroradiol; 2021 Mar; 42(3):448-456. PubMed ID: 33509914
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 23.