BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

290 related articles for article (PubMed ID: 30167811)

  • 1. MR imaging based fractal analysis for differentiating primary CNS lymphoma and glioblastoma.
    Liu S; Fan X; Zhang C; Wang Z; Li S; Wang Y; Qiu X; Jiang T
    Eur Radiol; 2019 Mar; 29(3):1348-1354. PubMed ID: 30167811
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Glioblastoma and primary central nervous system lymphoma: Preoperative differentiation by using MRI-based 3D texture analysis.
    Xiao DD; Yan PF; Wang YX; Osman MS; Zhao HY
    Clin Neurol Neurosurg; 2018 Oct; 173():84-90. PubMed ID: 30092408
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade.
    Park YW; Kim S; Ahn SS; Han K; Kang SG; Chang JH; Kim SH; Lee SK; Park SH
    Eur Radiol; 2020 Aug; 30(8):4615-4622. PubMed ID: 32274524
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8.
    Zhou W; Wen J; Hua F; Xu W; Lu X; Yin B; Geng D; Guan Y
    Eur J Radiol; 2018 Jul; 104():26-32. PubMed ID: 29857862
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fractal analysis: fractal dimension and lacunarity from MR images for differentiating the grades of glioma.
    Smitha KA; Gupta AK; Jayasree RS
    Phys Med Biol; 2015 Sep; 60(17):6937-47. PubMed ID: 26305773
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging.
    Liu S; Wang Y; Xu K; Wang Z; Fan X; Zhang C; Li S; Qiu X; Jiang T
    Sci Rep; 2017 Aug; 7(1):8302. PubMed ID: 28814802
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Can morphological MRI differentiate between primary central nervous system lymphoma and glioblastoma?
    Malikova H; Koubska E; Weichet J; Klener J; Rulseh A; Liscak R; Vojtech Z
    Cancer Imaging; 2016 Nov; 16(1):40. PubMed ID: 27894359
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiating between Glioblastoma and Primary CNS Lymphoma Using Combined Whole-tumor Histogram Analysis of the Normalized Cerebral Blood Volume and the Apparent Diffusion Coefficient.
    Bao S; Watanabe Y; Takahashi H; Tanaka H; Arisawa A; Matsuo C; Wu R; Fujimoto Y; Tomiyama N
    Magn Reson Med Sci; 2019 Jan; 18(1):53-61. PubMed ID: 29848919
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentiation between primary central nervous system lymphoma and glioblastoma: a comparative study of parameters derived from dynamic susceptibility contrast-enhanced perfusion-weighted MRI.
    Nakajima S; Okada T; Yamamoto A; Kanagaki M; Fushimi Y; Okada T; Arakawa Y; Takagi Y; Miyamoto S; Togashi K
    Clin Radiol; 2015 Dec; 70(12):1393-9. PubMed ID: 26382744
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Does adding FDG-PET to MRI improve the differentiation between primary cerebral lymphoma and glioblastoma? Observer performance study.
    Makino K; Hirai T; Nakamura H; Murakami R; Kitajima M; Shigematsu Y; Nakashima R; Shiraishi S; Uetani H; Iwashita K; Akter M; Yamashita Y; Kuratsu J
    Ann Nucl Med; 2011 Jul; 25(6):432-8. PubMed ID: 21404136
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessment of the Diagnostic Utility of Serum MicroRNA Classification in Patients With Diffuse Glioma.
    Ohno M; Matsuzaki J; Kawauchi J; Aoki Y; Miura J; Takizawa S; Kato K; Sakamoto H; Matsushita Y; Takahashi M; Miyakita Y; Ichimura K; Narita Y; Ochiya T
    JAMA Netw Open; 2019 Dec; 2(12):e1916953. PubMed ID: 31808923
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.
    Nguyen AV; Blears EE; Ross E; Lall RR; Ortega-Barnett J
    Neurosurg Focus; 2018 Nov; 45(5):E5. PubMed ID: 30453459
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.
    Lee JY; Bjørnerud A; Park JE; Lee BE; Kim JH; Kim HS
    Eur Radiol; 2019 Oct; 29(10):5539-5548. PubMed ID: 30877463
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Intraoperative Flow Cytometry Enables the Differentiation of Primary Central Nervous System Lymphoma from Glioblastoma.
    Koriyama S; Nitta M; Shioyama T; Komori T; Maruyama T; Kawamata T; Muragaki Y
    World Neurosurg; 2018 Apr; 112():e261-e268. PubMed ID: 29330078
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.