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Journal Abstract Search
334 related items for PubMed ID: 33548537
1. 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 [Abstract] [Full Text] [Related]
2. Nonenhancing peritumoral hyperintense lesion on diffusion-weighted imaging in glioblastoma: a novel diagnostic and specific prognostic indicator. Kolakshyapati M, Adhikari RB, Karlowee V, Takayasu T, Nosaka R, Amatya VJ, Takeshima Y, Akiyama Y, Sugiyama K, Kurisu K, Yamasaki F. J Neurosurg; 2018 Mar; 128(3):667-678. PubMed ID: 28362236 [Abstract] [Full Text] [Related]
4. 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 [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 [Abstract] [Full Text] [Related]
6. 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 [Abstract] [Full Text] [Related]
9. Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma. van Dijken BRJ, Jan van Laar P, Li C, Yan JL, Boonzaier NR, Price SJ, FCRS2Cambridge Brain Tumour Imaging Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom., van der Hoorn A. J Neurosurg; 2018 Oct 19; 131(3):717-723. PubMed ID: 30485234 [Abstract] [Full Text] [Related]
12. 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 19; 54(3):880-887. PubMed ID: 33694250 [Abstract] [Full Text] [Related]
14. Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images. Chang PD, Chow DS, Yang PH, Filippi CG, Lignelli A. AJR Am J Roentgenol; 2017 Jan 19; 208(1):57-65. PubMed ID: 27726412 [Abstract] [Full Text] [Related]
16. 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 Jan 19; 41(6):898-903. PubMed ID: 28806317 [Abstract] [Full Text] [Related]
17. Differences between primary central nervous system lymphoma and glioblastoma: topographic analysis using voxel-based morphometry. Yamashita K, Hiwatashi A, Togao O, Kikuchi K, Momosaka D, Hata N, Akagi Y, Suzuki SO, Iwaki T, Iihara K, Honda H. Clin Radiol; 2019 Oct 19; 74(10):816.e1-816.e8. PubMed ID: 31400805 [Abstract] [Full Text] [Related]
18. Primary brain lymphoma and glioblastoma: evaluation of DCE T1 and DSC T2 MRI perfusion findings. Soydan H, Sözmen Cılız D, Cesur T, Tezgör Aksakal E. Acta Radiol; 2024 Jul 19; 65(7):800-807. PubMed ID: 38798137 [Abstract] [Full Text] [Related]
19. 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 19; 28(9):3832-3839. PubMed ID: 29626238 [Abstract] [Full Text] [Related]
20. Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks. McAvoy M, Prieto PC, Kaczmarzyk JR, Fernández IS, McNulty J, Smith T, Yu KH, Gormley WB, Arnaout O. Sci Rep; 2021 Jul 26; 11(1):15219. PubMed ID: 34312463 [Abstract] [Full Text] [Related] Page: [Next] [New Search]