BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

778 related articles for article (PubMed ID: 30232517)

  • 1. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
    Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
    Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
    Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features.
    Chen Y; Li Z; Wu G; Yu J; Wang Y; Lv X; Ju X; Chen Z
    Int J Neurosci; 2018 Jul; 128(7):608-618. PubMed ID: 29183170
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.
    Kang D; Park JE; Kim YH; Kim JH; Oh JY; Kim J; Kim Y; Kim ST; Kim HS
    Neuro Oncol; 2018 Aug; 20(9):1251-1261. PubMed ID: 29438500
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiparametric imaging-based differentiation of lymphoma and glioblastoma: using T1-perfusion, diffusion, and susceptibility-weighted MRI.
    Saini J; Kumar Gupta P; Awasthi A; Pandey CM; Singh A; Patir R; Ahlawat S; Sadashiva N; Mahadevan A; Kumar Gupta R
    Clin Radiol; 2018 Nov; 73(11):986.e7-986.e15. PubMed ID: 30197047
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.
    Nakagawa M; Nakaura T; Namimoto T; Kitajima M; Uetani H; Tateishi M; Oda S; Utsunomiya D; Makino K; Nakamura H; Mukasa A; Hirai T; Yamashita Y
    Eur J Radiol; 2018 Nov; 108():147-154. PubMed ID: 30396648
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging.
    Kickingereder P; Wiestler B; Sahm F; Heiland S; Roethke M; Schlemmer HP; Wick W; Bendszus M; Radbruch A
    Radiology; 2014 Sep; 272(3):843-50. PubMed ID: 24814181
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Primary central nervous system lymphoma and atypical glioblastoma: differentiation using the initial area under the curve derived from dynamic contrast-enhanced MR and the apparent diffusion coefficient.
    Choi YS; Lee HJ; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Eur Radiol; 2017 Apr; 27(4):1344-1351. PubMed ID: 27436023
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network Model.
    Xia W; Hu B; Li H; Shi W; Tang Y; Yu Y; Geng C; Wu Q; Yang L; Yu Z; Geng D; Li Y
    J Magn Reson Imaging; 2021 Sep; 54(3):880-887. PubMed ID: 33694250
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.
    Kunimatsu A; Kunimatsu N; Yasaka K; Akai H; Kamiya K; Watadani T; Mori H; Abe O
    Magn Reson Med Sci; 2019 Jan; 18(1):44-52. PubMed ID: 29769456
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation between primary CNS lymphoma and glioblastoma: qualitative and quantitative analysis using arterial spin labeling MR imaging.
    You SH; Yun TJ; Choi HJ; Yoo RE; Kang KM; Choi SH; Kim JH; Sohn CH
    Eur Radiol; 2018 Sep; 28(9):3801-3810. PubMed ID: 29619520
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.
    Bhattacharjee R; Gupta M; Singh T; Sharma S; Khanna G; Parvaze SP; Patir R; Vaishya S; Ahlawat S; Singh A; Gupta RK
    Neuroradiology; 2022 Sep; 64(9):1801-1818. PubMed ID: 35435463
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnostic utility of intravoxel incoherent motion mr imaging in differentiating primary central nervous system lymphoma from glioblastoma multiforme.
    Yamashita K; Hiwatashi A; Togao O; Kikuchi K; Kitamura Y; Mizoguchi M; Yoshimoto K; Kuga D; Suzuki SO; Baba S; Isoda T; Iwaki T; Iihara K; Honda H
    J Magn Reson Imaging; 2016 Nov; 44(5):1256-1261. PubMed ID: 27093558
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentiating Glioblastoma from Primary Central Nervous System Lymphoma: The Value of Shaping and Nonenhancing Peritumoral Hyperintense Gyral Lesion on FLAIR Imaging.
    Wang P; Shi YH; Li JY; Zhang CZ
    World Neurosurg; 2021 May; 149():e696-e704. PubMed ID: 33548537
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative Evaluation of Diffusion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Differentiation Between Primary Central Nervous System Lymphoma and Glioblastoma.
    Lu S; Wang S; Gao Q; Zhou M; Li Y; Cao P; Hong X; Shi H
    J Comput Assist Tomogr; 2017; 41(6):898-903. PubMed ID: 28806317
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
    Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
    Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation.
    Cheong EN; Park JE; Park SY; Jung SC; Kim HS
    Eur Radiol; 2024 Mar; 34(3):2008-2023. PubMed ID: 37665391
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.
    Shrot S; Salhov M; Dvorski N; Konen E; Averbuch A; Hoffmann C
    Neuroradiology; 2019 Jul; 61(7):757-765. PubMed ID: 30949746
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
    Xia W; Hu B; Li H; Geng C; Wu Q; Yang L; Yin B; Gao X; Li Y; Geng D
    J Magn Reson Imaging; 2021 Jan; 53(1):242-250. PubMed ID: 32864825
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 39.