500 related articles for article (PubMed ID: 29769456)
1. 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]
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. Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.
Alcaide-Leon P; Dufort P; Geraldo AF; Alshafai L; Maralani PJ; Spears J; Bharatha A
AJNR Am J Neuroradiol; 2017 Jun; 38(6):1145-1150. PubMed ID: 28450433
[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. 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]
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 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]
8. 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]
9. Utility of dynamic contrast-enhanced magnetic resonance imaging for differentiating glioblastoma, primary central nervous system lymphoma and brain metastatic tumor.
Lu S; Gao Q; Yu J; Li Y; Cao P; Shi H; Hong X
Eur J Radiol; 2016 Oct; 85(10):1722-1727. PubMed ID: 27666608
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Glioblastoma and primary central nervous system lymphoma: differentiation using MRI derived first-order texture analysis - a machine learning study.
Priya S; Ward C; Locke T; Soni N; Maheshwarappa RP; Monga V; Agarwal A; Bathla G
Neuroradiol J; 2021 Aug; 34(4):320-328. PubMed ID: 33657924
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma.
Lin X; Lee M; Buck O; Woo KM; Zhang Z; Hatzoglou V; Omuro A; Arevalo-Perez J; Thomas AA; Huse J; Peck K; Holodny AI; Young RJ
AJNR Am J Neuroradiol; 2017 Mar; 38(3):485-491. PubMed ID: 27932505
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Differentiating glioblastoma multiforme from cerebral lymphoma: application of advanced texture analysis of quantitative apparent diffusion coefficients.
Mehrnahad M; Rostami S; Kimia F; Kord R; Taheri MS; Rad HS; Haghighatkhah H; Moradi A; Kord A
Neuroradiol J; 2020 Oct; 33(5):428-436. PubMed ID: 32628089
[TBL] [Abstract][Full Text] [Related]
19. Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma.
Lee B; Park JE; Bjørnerud A; Kim JH; Lee JY; Kim HS
AJNR Am J Neuroradiol; 2018 Aug; 39(8):1415-1422. PubMed ID: 30026384
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]