238 related articles for article (PubMed ID: 26382744)
21. Uninterpretable Dynamic Susceptibility Contrast-Enhanced Perfusion MR Images in Patients with Post-Treatment Glioblastomas: Cross-Validation of Alternative Imaging Options.
Heo YJ; Kim HS; Park JE; Choi CG; Kim SJ
PLoS One; 2015; 10(8):e0136380. PubMed ID: 26296086
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. MR perfusion in and around the contrast-enhancement of primary CNS lymphomas.
Blasel S; Jurcoane A; Bähr O; Weise L; Harter PN; Hattingen E
J Neurooncol; 2013 Aug; 114(1):127-34. PubMed ID: 23695516
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Multiparametric analysis from dynamic susceptibility contrast-enhanced perfusion MRI to evaluate malignant brain tumors.
Abreu VS; Tarrio J; Silva J; Almeida F; Pinto C; Freitas D; Filipe JP
J Neuroimaging; 2024; 34(2):257-266. PubMed ID: 38173078
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Differentiation of primary central nervous system lymphomas from high grade astrocytomas by qualitative analysis of the signal intensity curves derived from dynamic susceptibility-contrast magnetic resonance imaging.
Jensen-Kondering U; Henker C; Dörner L; Hugo HH; Jansen O
Neurol Res; 2012 Dec; 34(10):984-8. PubMed ID: 23146301
[TBL] [Abstract][Full Text] [Related]
28. Differentiation of primary central nervous system lymphoma from high-grade glioma and brain metastasis using arterial spin labeling and dynamic contrast-enhanced magnetic resonance imaging.
Xi YB; Kang XW; Wang N; Liu TT; Zhu YQ; Cheng G; Wang K; Li C; Guo F; Yin H
Eur J Radiol; 2019 Mar; 112():59-64. PubMed ID: 30777220
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma from glioblastoma: A systematic review and meta-analysis.
Suh CH; Kim HS; Jung SC; Park JE; Choi CG; Kim SJ
J Magn Reson Imaging; 2019 Aug; 50(2):560-572. PubMed ID: 30637843
[TBL] [Abstract][Full Text] [Related]
31. Perfusion and diffusion MR imaging in enhancing malignant cerebral tumors.
Calli C; Kitis O; Yunten N; Yurtseven T; Islekel S; Akalin T
Eur J Radiol; 2006 Jun; 58(3):394-403. PubMed ID: 16527438
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.
Server A; Orheim TE; Graff BA; Josefsen R; Kumar T; Nakstad PH
Neuroradiology; 2011 May; 53(5):319-30. PubMed ID: 20625709
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Differentiation of Primary Central Nervous System Lymphoma and High-Grade Glioma with Dynamic Susceptibility Contrast-Derived Metrics: Pilot Study.
Chaganti J; Taylor M; Woodford H; Steel T
World Neurosurg; 2021 Jul; 151():e979-e987. PubMed ID: 34020062
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Histogram analysis of apparent diffusion coefficient maps for differentiating primary CNS lymphomas from tumefactive demyelinating lesions.
Lu SS; Kim SJ; Kim N; Kim HS; Choi CG; Lim YM
AJR Am J Roentgenol; 2015 Apr; 204(4):827-34. PubMed ID: 25794073
[TBL] [Abstract][Full Text] [Related]
38. Gamma distribution model of diffusion MRI for the differentiation of primary central nerve system lymphomas and glioblastomas.
Togao O; Chikui T; Tokumori K; Kami Y; Kikuchi K; Momosaka D; Kikuchi Y; Kuga D; Hata N; Mizoguchi M; Iihara K; Hiwatashi A
PLoS One; 2020; 15(12):e0243839. PubMed ID: 33315914
[TBL] [Abstract][Full Text] [Related]
39. Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T.
Doskaliyev A; Yamasaki F; Ohtaki M; Kajiwara Y; Takeshima Y; Watanabe Y; Takayasu T; Amatya VJ; Akiyama Y; Sugiyama K; Kurisu K
Eur J Radiol; 2012 Feb; 81(2):339-44. PubMed ID: 21129872
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]