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 *

327 related articles for article (PubMed ID: 24722313)

  • 21. Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas.
    Nguyen TB; Cron GO; Bezzina K; Perdrizet K; Torres CH; Chakraborty S; Woulfe J; Jansen GH; Thornhill RE; Zanette B; Cameron IG
    AJNR Am J Neuroradiol; 2016 Dec; 37(12):2217-2223. PubMed ID: 27585700
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.
    Kang KM; Choi SH; Chul-Kee P; Kim TM; Park SH; Lee JH; Lee ST; Hwang I; Yoo RE; Yun TJ; Kim JH; Sohn CH
    Eur Radiol; 2021 Dec; 31(12):9098-9109. PubMed ID: 34003350
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.
    Xing Z; You RX; Li J; Liu Y; Cao DR
    Clin Neuroradiol; 2014 Dec; 24(4):329-36. PubMed ID: 23994941
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Primary central nervous system lymphoma and glioblastoma: differentiation using dynamic susceptibility-contrast perfusion-weighted imaging, diffusion-weighted imaging, and (18)F-fluorodeoxyglucose positron emission tomography.
    Nakajima S; Okada T; Yamamoto A; Kanagaki M; Fushimi Y; Okada T; Arakawa Y; Takagi Y; Miyamoto S; Togashi K
    Clin Imaging; 2015; 39(3):390-5. PubMed ID: 25547624
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Differential Diagnostic Value of Texture Feature Analysis of Magnetic Resonance T2 Weighted Imaging between Glioblastoma and Primary Central Neural System Lymphoma.
    Wang BT; Liu MX; Chen ZY
    Chin Med Sci J; 2019 Mar; 34(1):10-17. PubMed ID: 30961775
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.
    Suh CH; Kim HS; Choi YJ; Kim N; Kim SJ
    AJNR Am J Neuroradiol; 2013 Dec; 34(12):2278-86. PubMed ID: 23828115
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Atypical imaging features of primary central nervous system lymphoma that mimics glioblastoma: utility of intravoxel incoherent motion MR imaging.
    Suh CH; Kim HS; Lee SS; Kim N; Yoon HM; Choi CG; Kim SJ
    Radiology; 2014 Aug; 272(2):504-13. PubMed ID: 24697149
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Distinguishing tumefactive demyelinating lesions from glioma or central nervous system lymphoma: added value of unenhanced CT compared with conventional contrast-enhanced MR imaging.
    Kim DS; Na DG; Kim KH; Kim JH; Kim E; Yun BL; Chang KH
    Radiology; 2009 May; 251(2):467-75. PubMed ID: 19261924
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Differentiation between Treatment-Induced Necrosis and Recurrent Tumors in Patients with Metastatic Brain Tumors: Comparison among
    Tomura N; Kokubun M; Saginoya T; Mizuno Y; Kikuchi Y
    AJNR Am J Neuroradiol; 2017 Aug; 38(8):1520-1527. PubMed ID: 28619837
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of methylguanine methyltransferase promoter methylation in glioblastoma using dynamic contrast-enhanced magnetic resonance and diffusion tensor imaging.
    Ahn SS; Shin NY; Chang JH; Kim SH; Kim EH; Kim DW; Lee SK
    J Neurosurg; 2014 Aug; 121(2):367-73. PubMed ID: 24949678
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Comparison of three different MR perfusion techniques and MR spectroscopy for multiparametric assessment in distinguishing recurrent high-grade gliomas from stable disease.
    Seeger A; Braun C; Skardelly M; Paulsen F; Schittenhelm J; Ernemann U; Bisdas S
    Acad Radiol; 2013 Dec; 20(12):1557-65. PubMed ID: 24200483
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Improved performance of non-preloaded and high flip-angle dynamic susceptibility contrast perfusion-weighted imaging sequences in the presurgical differentiation of brain lymphoma and glioblastoma.
    Wang F; Zhou X; Chen R; Kang J; Yang X; Lin J; Liu F; Cao D; Xing Z
    Eur Radiol; 2023 Dec; 33(12):8800-8808. PubMed ID: 37439934
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Quantitative dynamic contrast-enhanced and diffusion-weighted MRI for differentiation between nasopharyngeal carcinoma and lymphoma at the primary site.
    Yu XP; Hou J; Li FP; Xiang W; Lu Q; Hu Y; Wang H
    Dentomaxillofac Radiol; 2016; 45(3):20150317. PubMed ID: 26846711
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Glioma grading capability: comparisons among parameters from dynamic contrast-enhanced MRI and ADC value on DWI.
    Choi HS; Kim AH; Ahn SS; Shin NY; Kim J; Lee SK
    Korean J Radiol; 2013; 14(3):487-92. PubMed ID: 23690718
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Tumoral and nontumoral pancreas: correlation between quantitative dynamic contrast-enhanced MR imaging and histopathologic parameters.
    Bali MA; Metens T; Denolin V; Delhaye M; Demetter P; Closset J; Matos C
    Radiology; 2011 Nov; 261(2):456-66. PubMed ID: 21852570
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.