Glial Tumor Grading and Outcome Prediction Using Dynamic Spin-Echo MR Susceptibility Mapping Compared with Conventional Contrast-Enhanced MR: Confounding Effect of Elevated rCBV of Oligodendroglimoas

American Journal of Neuroradiology

Volumn 25, Issue 2, 2004, Pages 214-221

  Lev, Michael H ^a   Ozsunar, Yelda ^a,b   Henson, John W ^a   Rasheed, Amjad A ^a   Barest, Glenn D ^a   Harsh IV, Griffith R ^c   Fitzek, Markus M ^d   Chiocca, E Antonio ^a   Rabinov, James D ^a   Csavoy, Andrew N ^e   Rosen, Bruce R ^a   Hochberg, Fred H ^a   Schaefer, Pamela W ^a   Gonzalez, R Gilberto ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b ADNAN MENDERES UNIVERSITY   (Turkey)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF DUISBURG ESSEN   (Germany)

^e Radionics Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTRAST MEDIUM; GADOLINIUM PENTETATE;

ADOLESCENT; ADULT; AGED; APPARATUS; ARTICLE; ASTROCYTOMA; BRAIN BLOOD VOLUME; BRAIN MAPPING; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; FEMALE; GLIOMA; HISTOPATHOLOGY; HUMAN; IMAGE ENHANCEMENT; INTERMETHOD COMPARISON; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; OLIGODENDROGLIOMA; OUTCOMES RESEARCH; PREDICTION; SCHOOL CHILD; SURVIVAL RATE; SURVIVAL TIME; TUMOR CLASSIFICATION;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ASTROCYTOMA; BLOOD VOLUME; BRAIN; BRAIN NEOPLASMS; CHILD; CONFIDENCE INTERVALS; DOMINANCE, CEREBRAL; ECHO-PLANAR IMAGING; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OLIGODENDROGLIOMA; PROGNOSIS; REGIONAL BLOOD FLOW; ROC CURVE; SENSITIVITY AND SPECIFICITY; STATISTICS; SURVIVAL ANALYSIS;

EID: 10744222738     PISSN: 01956108     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Kleihues P, Burger PC, Scheithauer BW. Histological Typing of Tumors of the Central Nervous System, 2nd ed. Berlin: Springer-Verlag; 1993
2. Dumas-Duport C, Scheithauer B, O'Fallon J, et al. Grading of astrocytomas: a simple and reproducible method. Cancer 1988;62:2152-2165
3. Scatliff JH, Radcliffe WB, Pittman HH, Park CH. Vascular structure of glioblastomas. Radium Ther Nucl Med 1969;105:795-805
4. Brem S, Cotran R, Folkman J. Tumor angiogenesis: a quantitative method for histologic grading. J Natl Cancer Inst 1972;48:347-356
5. Leon SP, Folkerth RD, Black PM. Microvessel density is a prognostic indicator for patients with astroglial brain tumors. Cancer 1996;77:362-372
6. Assimakopoulou M, Sotiropoulou-Bonikou G, Maraziotis T, Papadakis N, Varakis. Microvessel density in brain tumors. Anticancer Res 1997;17:4747-4753
7. Abdulrauf SI, Edvardsen K, Ho KL, Yang XY, Rock JP, Rosenblum ML. Vascular endothelial growth factor expression and vascular density as prognostic markers of survival in patients with low-grade astrocytoma. J Neurosurg 1998;88:513-520
8. Barker FG II, Chang SM, Huhn SL, et al. Age and the risk of anaplasia in magnetic resonance-nonenhancing supratentorial cerebral tumors. Cancer 1997;80:936-941
9. Wong JC, Provenzale JM, Petrella JR. Perfusion MR imaging of brain neoplasms. AJR Am J Roentgenol 2000;174:1147-1157
10. Sugahara T, Korogi Y, Shigematsu Y, et al. Value of dynamic susceptibility contrast magnetic resonance imaging in the evaluation of intracranial tumors. Top Magn Reson Imaging 1999;10:114-124
11. Aronen HJ, Gazit IE, Louis DN, et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191:41-51
12. Donahue KM, Krouwer HG, Rand SD, et al. Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients. Magn Reson Med 2000;43:845-853
13. Aronen HJ, Glass J, Pardo FS, et al. Echo-planar MR cerebral blood volume mapping of gliomas: clinical utility. Acta Radiol 1995;36:520-528
14. Lev MH, Rosen BR. Clinical applications of intracranial perfusion MR imaging. Neuroimaging Clin N Am 1999;9:309-331
15. Sugahara T, Korogi Y, Kochi M, Ushio Y, Takahashi M. Perfusion-sensitive MR imaging of gliomas: comparison between gradient-echo and spin-echo echo-planar imaging techniques. AJNR Am J Neuroradiol 2001;22:1306-1315
16. Fisel CR, Ackerman JL, Buxton RB, et al. MR contrast due to microscopically heterogeneous magnetic susceptibility: numerical simulations and applications to cerebral physiology. Magn Reson Med 1991;17:336-347
17. Ogawa S, Menon RS, Tank DW, et al. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging: a comparison of signal characteristics with a biophysical model. Biophys J 1993;64:803-812
18. Boxerman JL, Hamberg LM, Rosen BR, Weisskoff RM. MR contrast due to intravascular magnetic susceptibility perturbations. Magn Reson Med 1995;34:555-566
19. Knopp EA, Cha S, Johnson G. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 1999;211:791-798
20. Sugahara T, Korogi Y, Kochi M, et al. Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas. AJR Am J Roentgenol 1998;171:1479-1486
21. Derlon JM, Chapon F, Noel MH, et al. Non-invasive grading of oligodendrogliomas: correlation between in vivo metabolic pattern and histopathology. Eur J Nucl Med 2000;27:778-787
22. Bader JB, Samnick S, Moringlane JR, et al. Evaluation of 1-3-[1231] iodo-alpha-methyltyrosine SPECT and [18F]fluorodeoxyglucose PET in the detection and grading of recurrences in patients pretreated for gliomas at follow-up: a comparative study with stereo-tactic biopsy. Eur J Nucl Med 1999;26:144-151
23. Viader F, Derlon JM, Petit-Taboue MC, et al. Recurrent oligodendroglioma diagnosed with 11C-L-methionine and PET: a case report. Eur Neurol 1993;33:248-251
24. Sugou N, Shibata I, Nemoto A, et al. High uptake of N-isopropyl-p-[1231]-iodoamphetamine (1231-IMP) demonstrated by dynamic SPECT in some cases of glioma. Kaku Igaku 1996;33:695-704
25. Weisskoff R, Rosen BR. Functional magnetic resonance imaging. Acad Radiol 1995;2:133-135
26. Weisskoff RM, Rosen BR. Noninvasive determination of regional cerebral blood flow in rats using dynamic imaging with Gd(DTPA). Magn Reson Med 1992;25:211-223
27. Delbeke D, Meyerowitz C, Lapidus RL, et al. Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET. Radiology 1995;195:47-52
28. Kelly PJ. Stereotatic histologic correlations of computed tomography and magnetic resonance imaging defined abnormalities in patients with glial neoplasms. Mayo Clin Proc 1987;62:450-459