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 *

456 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. Two-Stage Training Framework Using Multicontrast MRI Radiomics for
    Truong NCD; Bangalore Yogananda CG; Wagner BC; Holcomb JM; Reddy D; Saadat N; Hatanpaa KJ; Patel TR; Fei B; Lee MD; Jain R; Bruce RJ; Pinho MC; Madhuranthakam AJ; Maldjian JA
    Radiol Artif Intell; 2024 Jul; 6(4):e230218. PubMed ID: 38775670
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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]  

  • 27. 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]  

  • 28. 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]  

  • 29. 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]  

  • 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. 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]  

  • 32. 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]  

  • 33. 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]  

  • 34. 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]  

  • 35. 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]  

  • 36. 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]  

  • 37. 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]  

  • 38. 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]  

  • 39. 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]  

  • 40. 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]  

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