BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

428 related articles for article (PubMed ID: 33553421)

  • 1. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
    Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
    Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features.
    Ren Y; Zhang X; Rui W; Pang H; Qiu T; Wang J; Xie Q; Jin T; Zhang H; Chen H; Zhang Y; Lu H; Yao Z; Zhang J; Feng X
    J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma.
    Yu J; Shi Z; Lian Y; Li Z; Liu T; Gao Y; Wang Y; Chen L; Mao Y
    Eur Radiol; 2017 Aug; 27(8):3509-3522. PubMed ID: 28004160
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
    Alis D; Bagcilar O; Senli YD; Yergin M; Isler C; Kocer N; Islak C; Kizilkilic O
    Jpn J Radiol; 2020 Feb; 38(2):135-143. PubMed ID: 31741126
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
    Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
    Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas.
    Zhou H; Chang K; Bai HX; Xiao B; Su C; Bi WL; Zhang PJ; Senders JT; Vallières M; Kavouridis VK; Boaro A; Arnaout O; Yang L; Huang RY
    J Neurooncol; 2019 Apr; 142(2):299-307. PubMed ID: 30661193
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
    Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
    World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Combined texture analysis of diffusion-weighted imaging with conventional MRI for non-invasive assessment of IDH1 mutation in anaplastic gliomas.
    Su CQ; Lu SS; Zhou MD; Shen H; Shi HB; Hong XN
    Clin Radiol; 2019 Feb; 74(2):154-160. PubMed ID: 30391048
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Value of Enhanced MR Radiomics in Estimating the IDH1 Genotype in High-Grade Gliomas.
    Niu L; Feng WH; Duan CF; Liu YC; Liu JH; Liu XJ
    Biomed Res Int; 2020; 2020():4630218. PubMed ID: 33163535
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of
    Park YW; Han K; Ahn SS; Bae S; Choi YS; Chang JH; Kim SH; Kang SG; Lee SK
    AJNR Am J Neuroradiol; 2018 Jan; 39(1):37-42. PubMed ID: 29122763
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. MRI features predict survival and molecular markers in diffuse lower-grade gliomas.
    Zhou H; Vallières M; Bai HX; Su C; Tang H; Oldridge D; Zhang Z; Xiao B; Liao W; Tao Y; Zhou J; Zhang P; Yang L
    Neuro Oncol; 2017 Jun; 19(6):862-870. PubMed ID: 28339588
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
    Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
    Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas.
    Wang J; Hu Y; Zhou X; Bao S; Chen Y; Ge M; Jia Z
    Eur J Radiol; 2022 Feb; 147():110141. PubMed ID: 34995947
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.