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 *

1713 related articles for article (PubMed ID: 25180159)

  • 1. 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]  

  • 2. Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET.
    Tatekawa H; Hagiwara A; Uetani H; Bahri S; Raymond C; Lai A; Cloughesy TF; Nghiemphu PL; Liau LM; Pope WB; Salamon N; Ellingson BM
    Cancer Imaging; 2021 Mar; 21(1):27. PubMed ID: 33691798
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of diffusion tensor imaging metrics for gliomas grading at 3 T.
    Server A; Graff BA; Josefsen R; Orheim TE; Schellhorn T; Nordhøy W; Nakstad PH
    Eur J Radiol; 2014 Mar; 83(3):e156-65. PubMed ID: 24457139
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Differentiation between low-grade and high-grade glioma using combined diffusion tensor imaging metrics.
    Ma L; Song ZJ
    Clin Neurol Neurosurg; 2013 Dec; 115(12):2489-95. PubMed ID: 24183513
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Voxel-based clustered imaging by multiparameter diffusion tensor images for predicting the grade and proliferative activity of meningioma.
    Takahashi Y; Oishi N; Yamao Y; Kunieda T; Kikuchi T; Fukuyama H; Miyamoto S; Arakawa Y
    Brain Behav; 2023 Oct; 13(10):e3201. PubMed ID: 37644780
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas.
    Raja R; Sinha N; Saini J; Mahadevan A; Rao KN; Swaminathan A
    Neuroradiology; 2016 Dec; 58(12):1217-1231. PubMed ID: 27796448
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnostic performance of diffusion tensor imaging for preo- perative glioma grading.
    Duy Hung N; Minh Duc N; Van Anh NT; Thanh Dung L; He DV
    Clin Ter; 2021 Jul; 172(4):315-321. PubMed ID: 34247214
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Grading Gliomas Capability: Comparison between Visual Assessment and Apparent Diffusion Coefficient (ADC) Value Measurement on Diffusion-Weighted Imaging (DWI).
    Phuttharak W; Thammaroj J; Wara-Asawapati S; Panpeng K
    Asian Pac J Cancer Prev; 2020 Feb; 21(2):385-390. PubMed ID: 32102515
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.
    Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH
    Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.
    Bai Y; Lin Y; Tian J; Shi D; Cheng J; Haacke EM; Hong X; Ma B; Zhou J; Wang M
    Radiology; 2016 Feb; 278(2):496-504. PubMed ID: 26230975
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
    Zhang Z; Xiao J; Wu S; Lv F; Gong J; Jiang L; Yu R; Luo T
    J Digit Imaging; 2020 Aug; 33(4):826-837. PubMed ID: 32040669
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Value of diffusion tensor imaging in differentiating high-grade from low-grade gliomas.
    Piyapittayanan S; Chawalparit O; Tritakarn SO; Witthiwej T; Sangruchi T; Nunta-Aree S; Sathornsumetee S; Itthimethin P; Komoltri C
    J Med Assoc Thai; 2013 Jun; 96(6):716-21. PubMed ID: 23951830
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation.
    Lee J; Choi SH; Kim JH; Sohn CH; Lee S; Jeong J
    NMR Biomed; 2014 Sep; 27(9):1046-52. PubMed ID: 25042540
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery.
    Qi XX; Shi DF; Ren SX; Zhang SY; Li L; Li QC; Guan LM
    Eur Radiol; 2018 Apr; 28(4):1748-1755. PubMed ID: 29143940
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnostic performance of apparent diffusion coefficient parameters for glioma grading.
    Wang Q; Zhang J; Xu X; Chen X; Xu B
    J Neurooncol; 2018 Aug; 139(1):61-68. PubMed ID: 29574566
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
    Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
    Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 86.