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Items: 1 to 20 of 235

1.

Grading of cerebral glioma with multiparametric MR imaging and 18F-FDG-PET: concordance and accuracy.

Yoon JH, Kim JH, Kang WJ, Sohn CH, Choi SH, Yun TJ, Eun Y, Song YS, Chang KH.

Eur Radiol. 2014 Feb;24(2):380-9.

PMID:
24078054
2.

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. doi: 10.1016/j.ejrad.2010.07.017. Epub 2010 Aug 13.

PMID:
20708868
3.

Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D.

AJNR Am J Neuroradiol. 2003 Nov-Dec;24(10):1989-98.

4.

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. doi: 10.1007/s11060-009-9807-6. Epub 2009 Feb 20. Retraction in: J Neurooncol. 2013 Sep;114(2):255.

PMID:
19229590
5.

Perfusion-metabolism coupling in recurrent gliomas: a prospective validation study with 13N-ammonia and 18F-fluorodeoxyglucose PET/CT.

Khangembam BC, Karunanithi S, Sharma P, Kc SS, Kumar R, Julka PK, Kumar R, Bal C.

Neuroradiology. 2014 Oct;56(10):893-902. doi: 10.1007/s00234-014-1389-0. Epub 2014 Jul 3.

PMID:
24989883
6.

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. doi: 10.1097/RLI.0b013e3181ec9db0.

PMID:
20829706
7.

Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy.

Di Costanzo A, Scarabino T, Trojsi F, Giannatempo GM, Popolizio T, Catapano D, Bonavita S, Maggialetti N, Tosetti M, Salvolini U, d'Angelo VA, Tedeschi G.

Neuroradiology. 2006 Sep;48(9):622-31. Epub 2006 Jun 3.

PMID:
16752135
8.

Comparative evaluation of F-18 FDOPA, F-18 FDG, and F-18 FLT-PET/CT for metabolic imaging of low grade gliomas.

Tripathi M, Sharma R, D'Souza M, Jaimini A, Panwar P, Varshney R, Datta A, Kumar N, Garg G, Singh D, Grover RK, Mishra AK, Mondal A.

Clin Nucl Med. 2009 Dec;34(12):878-83. doi: 10.1097/RLU.0b013e3181becfe0.

PMID:
20139821
9.

11C-acetate PET in the evaluation of brain glioma: comparison with 11C-methionine and 18F-FDG-PET.

Yamamoto Y, Nishiyama Y, Kimura N, Kameyama R, Kawai N, Hatakeyama T, Kaji M, Ohkawa M.

Mol Imaging Biol. 2008 Sep;10(5):281-7. doi: 10.1007/s11307-008-0152-5. Epub 2008 Jun 10.

PMID:
18543041
10.
11.

Can multiparametric MRI and FDG-PET predict outcome in diffuse brainstem glioma? A report from a prospective phase-II study.

Goda JS, Dutta D, Raut N, Juvekar SL, Purandare N, Rangarajan V, Arora B, Gupta T, Kurkure P, Jalali R.

Pediatr Neurosurg. 2013;49(5):274-81. doi: 10.1159/000366167. Epub 2014 Sep 25.

PMID:
25277867
12.

Relative value of magnetic resonance spectroscopy, magnetic resonance perfusion, and 2-(18F) fluoro-2-deoxy-D-glucose positron emission tomography for detection of recurrence or grade increase in gliomas.

Prat R, Galeano I, Lucas A, Martínez JC, Martín M, Amador R, Reynés G.

J Clin Neurosci. 2010 Jan;17(1):50-3. doi: 10.1016/j.jocn.2009.02.035. Epub 2009 Dec 2.

PMID:
19959364
13.

Data-driven grading of brain gliomas: a multiparametric MR imaging study.

Caulo M, Panara V, Tortora D, Mattei PA, Briganti C, Pravatà E, Salice S, Cotroneo AR, Tartaro A.

Radiology. 2014 Aug;272(2):494-503. doi: 10.1148/radiol.14132040. Epub 2014 Mar 22.

PMID:
24661247
14.

A prospective diagnostic accuracy study of 18F-fluorodeoxyglucose positron emission tomography/computed tomography, multidetector row computed tomography, and magnetic resonance imaging in primary diagnosis and staging of pancreatic cancer.

Kauhanen SP, Komar G, Seppänen MP, Dean KI, Minn HR, Kajander SA, Rinta-Kiikka I, Alanen K, Borra RJ, Puolakkainen PA, Nuutila P, Ovaska JT.

Ann Surg. 2009 Dec;250(6):957-63. doi: 10.1097/SLA.0b013e3181b2fafa.

PMID:
19687736
15.

Comparison of three different MR perfusion techniques and MR spectroscopy for multiparametric assessment in distinguishing recurrent high-grade gliomas from stable disease.

Seeger A, Braun C, Skardelly M, Paulsen F, Schittenhelm J, Ernemann U, Bisdas S.

Acad Radiol. 2013 Dec;20(12):1557-65. doi: 10.1016/j.acra.2013.09.003.

PMID:
24200483
16.

Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings.

Chiang IC, Kuo YT, Lu CY, Yeung KW, Lin WC, Sheu FO, Liu GC.

Neuroradiology. 2004 Aug;46(8):619-27. Epub 2004 Jul 9.

PMID:
15243726
17.

Comparison of proton magnetic resonance spectroscopy with fluorine-18 2-fluoro-deoxyglucose positron emission tomography for assessment of brain tumor progression.

Imani F, Boada FE, Lieberman FS, Davis DK, Deeb EL, Mountz JM.

J Neuroimaging. 2012 Apr;22(2):184-90. doi: 10.1111/j.1552-6569.2010.00561.x. Epub 2010 Dec 14.

18.

High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging.

Law M, Cha S, Knopp EA, Johnson G, Arnett J, Litt AW.

Radiology. 2002 Mar;222(3):715-21.

PMID:
11867790
19.

Using R2* values to evaluate brain tumours on magnetic resonance imaging: preliminary results.

Liu Z, Liao H, Yin J, Li Y.

Eur Radiol. 2014 Mar;24(3):693-702. doi: 10.1007/s00330-013-3057-x. Epub 2013 Nov 26.

PMID:
24275803
20.

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. doi: 10.1080/02841850902933123.

PMID:
19449234

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