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

European Radiology

Volumn 24, Issue 2, 2014, Pages 380-389

  Yoon, Jeong Hee ^a   Kim, Ji Hoon ^a   Kang, Won Jun ^a,b   Sohn, Chul Ho ^a   Choi, Seung Hong ^a   Yun, Tae Jin ^a   Eun, Yong ^c   Song, Yong Sub ^a   Chang, Kee Hyun ^a,d  

^a Seoul National University Hospital   (South Korea)

^b Yonsei University College of Medicine   (South Korea)

^c Seoul National University   (South Korea)

^d Soonchunhyang University   (South Korea)

Author keywords

Glioma; Magnetic resonance imaging; Neoplasm grading; Positron emission tomography; Predictive value of tests

Indexed keywords

CHOLINE; CREATINE; FLUORODEOXYGLUCOSE F 18; GADOLINIUM PENTETATE MEGLUMINE; LACTIC ACID; LIPID;

ADOLESCENT; ADULT; AGED; ARTICLE; CANCER GRADING; DIFFUSION WEIGHTED IMAGING; DISEASE SEVERITY; FEMALE; GLIOMA; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PERFUSION WEIGHTED IMAGING; PET SCANNER; POSITRON EMISSION TOMOGRAPHY; PREDICTIVE VALUE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BRAIN NEOPLASMS; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; FLUORODEOXYGLUCOSE F18; GLIOMA; HUMANS; MALE; MIDDLE AGED; NEOPLASM STAGING; POSITRON-EMISSION TOMOGRAPHY; PREDICTIVE VALUE OF TESTS; RADIOPHARMACEUTICALS; RETROSPECTIVE STUDIES;

EID: 84893266850     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-013-3019-3     Document Type: Article

References (29)

1. Cha S (2006) Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol 27:475-487
2. Di Costanzo A, Scarabino T, Trojsi F et al (2006) Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy. Neuroradiology 48:622-631
3. Delbeke D, Meyerowitz C, Lapidus RL et al (1995) Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET. Radiology 195:47-52
4. Hein PA, Eskey CJ, Dunn JF, Hug EB (2004) Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury. AJNR Am J Neuroradiol 25:201-209
5. Hirai T, Murakami R, Nakamura H et al (2008) Prognostic value of perfusion MR imaging of high-grade astrocytomas: long-term follow-up study. AJNR Am J Neuroradiol 29:1505-1510
6. Imani F, Boada FE, Lieberman FS, Davis DK, Deeb EL, Mountz JM (2012) Comparison of Proton magnetic resonance spectroscopy with fluorine-18 2-fluoro-deoxyglucose positron emission tomography for assessment of brain tumor progression. J Neuroimaging 22:184-190
7. J-h K, Chang K-H, Na D et al (2006) 3T 1H-MR spectroscopy in grading of cerebral gliomas: comparison of short and intermediate echo time sequences. AJNR Am J Neuroradiol 27:1412-1418
8. Dean B, Drayer B, Bird C et al (1990) Gliomas: classification with MR imaging. Radiology 174:411-415
9. Law M, Yang S, Wang H et al (2003) Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 24:1989-1998
10. Yang D, Korogi Y, Sugahara T et al (2002) Cerebral gliomas: prospective comparison of multivoxel 2D chemical-shift imaging proton MR spectroscopy, echoplanar perfusion and diffusion-weighted MRI. Neuroradiology 44:656-666
11. Bulakbasi N, Kocaoglu M, Örs F, Tayfun C, Üçöz T (2003) Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors. AJNR Am J Neuroradiol 24:225-233
12. Byun HS, Suh DC, Choi KH et al (1994) Tumor grading of adult astrocytic glioma on MR imaging. Korean J Radiol 31:377-384
13. Watanabe M, Tanaka R, Takeda N (1992) Magnetic resonance imaging and histopathology of cerebral gliomas. Neuroradiology 34:463-469
14. Wetzel SG, Cha S, Johnson G et al (2002) Relative cerebral blood volume measurements in intracranial mass lesions: interobserver and intraobserver reproducibility study. Radiology 224:797-803
15. Gupta RK, Cloughesy TF, Sinha U et al (2000) Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma. J Neurooncol 50:215-226
16. Holodny A, Makeyev S, Beattie B, Riad S, Blasberg R (2010) Apparent diffusion coefficient of glial neoplasms: correlation with fluorodeoxyglucose- positron-emission tomography and gadolinium-enhanced MR imaging. AJNR Am J Neuroradiol 31:1042-1048
17. Shimizu H, Kumabe T, Shirane R, Yoshimoto T (2000) Correlation between choline level measured by proton MR spectroscopy and Ki-67 labeling index in gliomas. AJNR Am J Neuroradiol 21:659-665
18. Sadeghi N, D'Haene N, Decaestecker C et al (2008) Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies. AJNR Am J Neuroradiol 29:476-482
19. Seo H, Chang K-H, Na D, Kwon B, Lee D (2008) High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2. AJNR Am J Neuroradiol 29:458-463
20. Sugahara T, Korogi Y, Kochi M et al (1998) Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas. AJR Am J Roentgenol 171:1479-1486
21. Hilario A, Ramos A, Perez-Nuñez A et al (2012) The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. AJNR Am J Neuroradiol 33:701-707
22. Zonari P, Baraldi P, Crisi G (2007) Multimodal MRI in the characterization of glial neoplasms: the combined role of single-voxel MR spectroscopy, diffusion imaging and echo-planar perfusion imaging. Neuroradiology 49:795-803
23. Roy B, Gupta RK, Maudsley AA et al. (2013) Utility of multiparametric 3-T MRI for glioma characterization. Neuroradiology:1-11
24. Garzón B, Emblem KE, Mouridsen K et al (2011) Multiparametric analysis of magnetic resonance images for glioma grading and patient survival time prediction. Acta Radiol 52:1052-1060
25. Mills SJ, Soh C, O'Connor JP et al (2009) Tumour enhancing fraction (EnF) in glioma: relationship to tumour grade. Eur Radiol 19:1489-1498
26. Santra A, Kumar R, Sharma P et al (2012) F-18 FDG PET-CT in patients with recurrent glioma: comparison with contrast enhanced MRI. Eur J Radiol 81:508-513
27. Chung J-K, Kim Y, S-k K et al (2002) Usefulness of 11C-methionine PET in the evaluation of brain lesions that are hypo-or isometabolic on 18F-FDG PET. Eur J Nucl Med Mol Imaging 29:176-182
28. 18F) fluoro-2-deoxy-D-glucose positron emission tomography for detection of recurrence or grade increase in gliomas. J Clin Neurosci 17:50-53
29. Kang Y, Choi SH, Kim Y-J et al (2011) Gliomas: histogram analysis of apparent diffusion coefficient maps with standard-or high-b-value diffusion-weighted MR imaging - correlation with tumor grade. Radiology 261:882-890