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.
295 related articles for article (PubMed ID: 18079184)
1. Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies. Sadeghi N; D'Haene N; Decaestecker C; Levivier M; Metens T; Maris C; Wikler D; Baleriaux D; Salmon I; Goldman S AJNR Am J Neuroradiol; 2008 Mar; 29(3):476-82. PubMed ID: 18079184 [TBL] [Abstract][Full Text] [Related]
2. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. Hilario A; Ramos A; Perez-Nuñez A; Salvador E; Millan JM; Lagares A; Sepulveda JM; Gonzalez-Leon P; Hernandez-Lain A; Ricoy JR AJNR Am J Neuroradiol; 2012 Apr; 33(4):701-7. PubMed ID: 22207304 [TBL] [Abstract][Full Text] [Related]
3. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868 [TBL] [Abstract][Full Text] [Related]
4. Multimodal MRI in the characterization of glial neoplasms: the combined role of single-voxel MR spectroscopy, diffusion imaging and echo-planar perfusion imaging. Zonari P; Baraldi P; Crisi G Neuroradiology; 2007 Oct; 49(10):795-803. PubMed ID: 17619871 [TBL] [Abstract][Full Text] [Related]
5. Comparing perfusion metrics obtained from a single compartment versus pharmacokinetic modeling methods using dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. Law M; Young R; Babb J; Rad M; Sasaki T; Zagzag D; Johnson G AJNR Am J Neuroradiol; 2006 Oct; 27(9):1975-82. PubMed ID: 17032878 [TBL] [Abstract][Full Text] [Related]
6. Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging. Arvinda HR; Kesavadas C; Sarma PS; Thomas B; Radhakrishnan VV; Gupta AK; Kapilamoorthy TR; Nair S J Neurooncol; 2009 Aug; 94(1):87-96. PubMed ID: 19229590 [TBL] [Abstract][Full Text] [Related]
7. Correlations between perfusion MR imaging cerebral blood volume, microvessel quantification, and clinical outcome using stereotactic analysis in recurrent high-grade glioma. Hu LS; Eschbacher JM; Dueck AC; Heiserman JE; Liu S; Karis JP; Smith KA; Shapiro WR; Pinnaduwage DS; Coons SW; Nakaji P; Debbins J; Feuerstein BG; Baxter LC AJNR Am J Neuroradiol; 2012 Jan; 33(1):69-76. PubMed ID: 22095961 [TBL] [Abstract][Full Text] [Related]
8. Perfusion MRI (dynamic susceptibility contrast imaging) with different measurement approaches for the evaluation of blood flow and blood volume in human gliomas. Thomsen H; Steffensen E; Larsson EM Acta Radiol; 2012 Feb; 53(1):95-101. PubMed ID: 22114021 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas. Sugahara T; Korogi Y; Kochi M; Ikushima I; Hirai T; Okuda T; Shigematsu Y; Liang L; Ge Y; Ushio Y; Takahashi M AJR Am J Roentgenol; 1998 Dec; 171(6):1479-86. PubMed ID: 9843274 [TBL] [Abstract][Full Text] [Related]
11. Abnormalities in the recirculation phase of contrast agent bolus passage in cerebral gliomas: comparison with relative blood volume and tumor grade. Jackson A; Kassner A; Annesley-Williams D; Reid H; Zhu XP; Li KL AJNR Am J Neuroradiol; 2002 Jan; 23(1):7-14. PubMed ID: 11827869 [TBL] [Abstract][Full Text] [Related]
12. Comparison of microvascular permeability measurements, K(trans), determined with conventional steady-state T1-weighted and first-pass T2*-weighted MR imaging methods in gliomas and meningiomas. Cha S; Yang L; Johnson G; Lai A; Chen MH; Tihan T; Wendland M; Dillon WP AJNR Am J Neuroradiol; 2006 Feb; 27(2):409-17. PubMed ID: 16484420 [TBL] [Abstract][Full Text] [Related]
13. Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors. Rollin N; Guyotat J; Streichenberger N; Honnorat J; Tran Minh VA; Cotton F Neuroradiology; 2006 Mar; 48(3):150-9. PubMed ID: 16470375 [TBL] [Abstract][Full Text] [Related]
14. Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema. Server A; Kulle B; Maehlen J; Josefsen R; Schellhorn T; Kumar T; Langberg CW; Nakstad PH Acta Radiol; 2009 Jul; 50(6):682-9. PubMed ID: 19449234 [TBL] [Abstract][Full Text] [Related]
15. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. Law M; Yang S; Babb JS; Knopp EA; Golfinos JG; Zagzag D; Johnson G AJNR Am J Neuroradiol; 2004 May; 25(5):746-55. PubMed ID: 15140713 [TBL] [Abstract][Full Text] [Related]
16. Voxelwise and Patientwise Correlation of Tatekawa H; Hagiwara A; Yao J; Oughourlian TC; Ueda I; Uetani H; Raymond C; Lai A; Cloughesy TF; Nghiemphu PL; Liau LM; Pope WB; Salamon N; Ellingson BM J Nucl Med; 2021 Mar; 62(3):319-325. PubMed ID: 32646876 [TBL] [Abstract][Full Text] [Related]
17. Pilot study on evaluation of any correlation between MR perfusion (Ktrans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 Tesla. Chu JP; Mak HK; Yau KK; Zhang L; Tsang J; Chan Q; Ka-Kit Leung G Cancer Imaging; 2012 Jan; 12(1):1-6. PubMed ID: 22275724 [TBL] [Abstract][Full Text] [Related]
18. Stereotactic comparison among cerebral blood volume, methionine uptake, and histopathology in brain glioma. Sadeghi N; Salmon I; Decaestecker C; Levivier M; Metens T; Wikler D; Denolin V; Rorive S; Massager N; Baleriaux D; Goldman S AJNR Am J Neuroradiol; 2007 Mar; 28(3):455-61. PubMed ID: 17353312 [TBL] [Abstract][Full Text] [Related]
19. Biopsy targeting gliomas: do functional imaging techniques identify similar target areas? Weber MA; Henze M; Tüttenberg J; Stieltjes B; Meissner M; Zimmer F; Burkholder I; Kroll A; Combs SE; Vogt-Schaden M; Giesel FL; Zoubaa S; Haberkorn U; Kauczor HU; Essig M Invest Radiol; 2010 Dec; 45(12):755-68. PubMed ID: 20829706 [TBL] [Abstract][Full Text] [Related]
20. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. Bai Y; Lin Y; Tian J; Shi D; Cheng J; Haacke EM; Hong X; Ma B; Zhou J; Wang M Radiology; 2016 Feb; 278(2):496-504. PubMed ID: 26230975 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]