BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

849 related articles for article (PubMed ID: 34270479)

  • 1. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
    Hashido T; Saito S; Ishida T
    J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
    [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. Diffusion-weighted imaging and arterial spin labeling radiomics features may improve differentiation between radiation-induced brain injury and glioma recurrence.
    Zhang J; Wu Y; Wang Y; Zhang X; Lei Y; Zhu G; Mao C; Zhang L; Ma L
    Eur Radiol; 2023 May; 33(5):3332-3342. PubMed ID: 36576544
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Grading of Glioma: combined diagnostic value of amide proton transfer weighted, arterial spin labeling and diffusion weighted magnetic resonance imaging.
    Kang XW; Xi YB; Liu TT; Wang N; Zhu YQ; Wang XR; Guo F
    BMC Med Imaging; 2020 May; 20(1):50. PubMed ID: 32408867
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Grading diffuse gliomas without intense contrast enhancement by amide proton transfer MR imaging: comparisons with diffusion- and perfusion-weighted imaging.
    Togao O; Hiwatashi A; Yamashita K; Kikuchi K; Keupp J; Yoshimoto K; Kuga D; Yoneyama M; Suzuki SO; Iwaki T; Takahashi M; Iihara K; Honda H
    Eur Radiol; 2017 Feb; 27(2):578-588. PubMed ID: 27003139
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Intravoxel incoherent motion diffusion-weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of tumor perfusion.
    Shen N; Zhao L; Jiang J; Jiang R; Su C; Zhang S; Tang X; Zhu W
    J Magn Reson Imaging; 2016 Sep; 44(3):620-32. PubMed ID: 26880230
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
    Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
    Yang Y; Yan LF; Zhang X; Nan HY; Hu YC; Han Y; Zhang J; Liu ZC; Sun YZ; Tian Q; Yu Y; Sun Q; Wang SY; Zhang X; Wang W; Cui GB
    J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ki-67 labeling index and the grading of cerebral gliomas by using intravoxel incoherent motion diffusion-weighted imaging and three-dimensional arterial spin labeling magnetic resonance imaging.
    Wang C; Dong H
    Acta Radiol; 2020 Aug; 61(8):1057-1063. PubMed ID: 31830431
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K; Cidan W; Qi Y; Wang X
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.
    Takahashi S; Takahashi W; Tanaka S; Haga A; Nakamoto T; Suzuki Y; Mukasa A; Takayanagi S; Kitagawa Y; Hana T; Nejo T; Nomura M; Nakagawa K; Saito N
    Int J Radiat Oncol Biol Phys; 2019 Nov; 105(4):784-791. PubMed ID: 31344432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Investigated diagnostic value of synthetic relaxometry, three-dimensional pseudo-continuous arterial spin labelling and diffusion-weighted imaging in the grading of glioma.
    Ge X; Wang M; Ma H; Zhu K; Wei X; Li M; Zhai X; Shen Y; Huang X; Hou M; Liu W; Wang M; Wang X
    Magn Reson Imaging; 2022 Feb; 86():20-27. PubMed ID: 34808303
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A radiomics-based comparative study on arterial spin labeling and dynamic susceptibility contrast perfusion-weighted imaging in gliomas.
    Hashido T; Saito S; Ishida T
    Sci Rep; 2020 Apr; 10(1):6121. PubMed ID: 32273523
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Glioma grading using a machine-learning framework based on optimized features obtained from T
    Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences.
    Qin JB; Liu Z; Zhang H; Shen C; Wang XC; Tan Y; Wang S; Wu XF; Tian J
    Med Sci Monit; 2017 May; 23():2168-2178. PubMed ID: 28478462
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
    Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
    Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
    Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
    Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors.
    Shao S; Mao N; Liu W; Cui J; Xue X; Cheng J; Zheng N; Wang B
    J Xray Sci Technol; 2020; 28(4):799-808. PubMed ID: 32538891
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 43.