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344 related items for PubMed ID: 27332779
21. 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 [Abstract] [Full Text] [Related]
23. Preoperative grading of supratentorial gliomas using high or standard b-value diffusion-weighted MR imaging at 3T. Cihangiroglu MM, Ozturk-Isik E, Firat Z, Kilickesmez O, Ulug AM, Ture U. Diagn Interv Imaging; 2017 Mar; 98(3):261-268. PubMed ID: 28038915 [Abstract] [Full Text] [Related]
24. Cutoff value of choline concentration reliably reveals high-grade brain tumors among other contrast-enhancing brain lesions. Porto L, Hattingen E, Stuecher A, Herminghaus S, Lanfermann H, Ulrich Pilatus UP. J Neurol Surg A Cent Eur Neurosurg; 2012 May; 73(3):147-52. PubMed ID: 22190143 [Abstract] [Full Text] [Related]
30. Diagnostic accuracy of MRI texture analysis for grading gliomas. Ditmer A, Zhang B, Shujaat T, Pavlina A, Luibrand N, Gaskill-Shipley M, Vagal A. J Neurooncol; 2018 Dec; 140(3):583-589. PubMed ID: 30145731 [Abstract] [Full Text] [Related]
31. Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases. Caravan I, Ciortea CA, Contis A, Lebovici A. Acta Radiol; 2018 May; 59(5):599-605. PubMed ID: 28835111 [Abstract] [Full Text] [Related]
32. Proton magnetic resonance spectroscopy in the distinction of high-grade cerebral gliomas from single metastatic brain tumors. Server A, Josefsen R, Kulle B, Maehlen J, Schellhorn T, Gadmar Ø, Kumar T, Haakonsen M, Langberg CW, Nakstad PH. Acta Radiol; 2010 Apr; 51(3):316-25. PubMed ID: 20092374 [Abstract] [Full Text] [Related]
33. Differentiation of high-grade from low-grade diffuse gliomas using diffusion-weighted imaging: a comparative study of mono-, bi-, and stretched-exponential diffusion models. Kusunoki M, Kikuchi K, Togao O, Yamashita K, Momosaka D, Kikuchi Y, Kuga D, Hata N, Mizoguchi M, Iihara K, Suzuki SO, Iwaki T, Akamine Y, Hiwatashi A. Neuroradiology; 2020 Jul; 62(7):815-823. PubMed ID: 32424712 [Abstract] [Full Text] [Related]
34. MR Imaging-derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas. Stadlbauer A, Zimmermann M, Kitzwögerer M, Oberndorfer S, Rössler K, Dörfler A, Buchfelder M, Heinz G. Radiology; 2017 Jun; 283(3):799-809. PubMed ID: 27982759 [Abstract] [Full Text] [Related]
35. Whole-brain amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging in glioma patients using low-power steady-state pulsed chemical exchange saturation transfer (CEST) imaging at 7T. Heo HY, Jones CK, Hua J, Yadav N, Agarwal S, Zhou J, van Zijl PC, Pillai JJ. J Magn Reson Imaging; 2016 Jul; 44(1):41-50. PubMed ID: 26663561 [Abstract] [Full Text] [Related]
36. Differentiating between Central Nervous System Lymphoma and High-grade Glioma Using Dynamic Susceptibility Contrast and Dynamic Contrast-enhanced MR Imaging with Histogram Analysis. Murayama K, Nishiyama Y, Hirose Y, Abe M, Ohyu S, Ninomiya A, Fukuba T, Katada K, Toyama H. Magn Reson Med Sci; 2018 Jan 10; 17(1):42-49. PubMed ID: 28515410 [Abstract] [Full Text] [Related]
38. Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram. Zhang HW, Lyu GW, He WJ, Lei Y, Lin F, Feng YN, Wang MZ. Acta Radiol; 2020 Sep 10; 61(9):1221-1227. PubMed ID: 31902220 [Abstract] [Full Text] [Related]