Abstract
Introduction
Our purpose was to evaluate the diagnostic performance of arterial spin labeling (ASL) perfusion imaging, diffusion-weighted imaging (DWI), and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) in differentiating primary central nervous system lymphomas (PCNSLs) from glioblastoma multiformes (GBMs).
Methods
Fifty-six patients including 19 with PCNSL and 37 with GBM were retrospectively studied. From the ASL data, an absolute tumor blood flow (aTBF) and a relative tumor blood flow (rTBF) were obtained within the enhancing portion of each tumor. In addition, the minimum apparent diffusion coefficient (ADCmin) and the maximum standard uptake value (SUVmax) were obtained from DWI and FDG-PET data, respectively. Each of the four parameters was compared between PCNSLs and GBMs using Kruskal–Wallis test. The performance in discriminating between PCNSLs and GBMs was evaluated using the receiver-operating characteristics analysis. Area-under-the-curve (AUC) values were compared among the four parameters using a nonparametric method.
Results
The aTBF, rTBF, and ADCmin were significantly higher in GBMs (mean aTBF ± SD = 91.6 ± 56.0 mL/100 g/min, mean rTBF ± SD = 2.61 ± 1.61, mean ADCmin ± SD = 0.78 ± 0.19 × 10−3 mm2/s) than in PCNSLs (mean aTBF ± SD = 37.3 ± 10.5 mL/100 g/min, mean rTBF ± SD = 1.24 ± 0.37, mean ADCmin ± SD = 0.61 ± 0.13 × 10−3 mm2/s) (p < 0.005, respectively). In addition, SUVmax was significantly lower in GBMs (mean ± SD = 13.1 ± 6.34) than in PCNSLs (mean ± SD = 22.5 ± 7.83) (p < 0.005). The AUC for aTBF (0.888) was higher than those for rTBF (0.810), ADCmin (0.768), and SUVmax (0.848), although their difference was not statistically significant.
Conclusion
ASL perfusion imaging is useful for differentiating PCNSLs from GBMs as well as DWI and FDG-PET.
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References
Koeller KK, Smirniotopoulos JG, Jones RV (1997) Primary central nervous system lymphoma: radiologic–pathologic correlation. RadioGraphics 17:1497–1526
Cha S, Knopp EA, Johnson G, Wetzel SG, Litt AW, Zagzag D (2002) Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging. Radiology 223:11–29
Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224:177–183
Morris PG, Abrey LE (2009) Therapeutic challenges in primary CNS lymphoma. Lancet Neurol 8:581–592
Lee IH, Kim ST, Kim HJ, Kim KH, Jeon P, Byun HS (2010) Analysis of perfusion weighted image of CNS lymphoma. Eur J Radiol 76:48–51
National Comprehensive Cancer Network clinical practice guidelines in oncology—central nervous system cancers. v.1.2010. [http://www.nccn.org/professionals/physician_gls/PDF/cns.pdf]. Accessed Dec 2011
Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987–996
Rees JH, Smirniotopoulos JG, Jones RV, Wong K (1996) Glioblastoma multiforme: radiologic–pathologic correlation. RadioGraphics 16:1413–1438
Yamasaki F, Kurisu K, Satoh K et al (2005) Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 235:985–991
Toh CH, Castillo M, Wong AM et al (2008) Primary cerebral lymphoma and glioblastoma multiforme: differences in diffusion characteristics evaluated with diffusion tensor imaging. AJNR Am J Neuroradiol 29:471–475
Doskaliyev A, Yamasaki F, Ohtaki M et al (2012) Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3 T. Eur J Radiol 81:339–344
Calli C, Kitis O, Yunten N, Yurtseven T, Islekel S, Akalin T (2006) Perfusion and diffusion MR imaging in enhancing malignant cerebral tumors. Eur J Radiol 58:394–403
Hartmann M, Heiland S, Harting I et al (2003) Distinguishing of primary cerebral lymphoma from high-grade glioma with perfusion-weighted magnetic resonance imaging. Neurosci Lett 338:119–122
Hakyemez B, Erdogan C, Bolca N, Yildirim N, Gokalp G, Parlak M (2006) Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging. J Magn Reson Imaging 24:817–824
Kosaka N, Tsuchida T, Uematsu H, Kimura H, Okazawa H, Itoh H (2008) 18F-FDG PET of common enhancing malignant brain tumors. AJR Am J Roentgenol 190:W365–W369
Makino K, Hirai T, Nakamura H et al (2011) Does adding FDG-PET to MRI improve the differentiation between primary cerebral lymphoma and glioblastoma? Observer performance study. Ann Nucl Med 25:432–438
Warmuth C, Gunther M, Zimmer C (2003) Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology 228:523–532
Järnum H, Steffensen EG, Knutsson L et al (2010) MRI of brain tumours: a comparative study of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast imaging. Neuroradiology 52:307–317
Detre JA, Alsop DC, Vives LR et al (1998) Noninvasive MRI evaluation of cerebral blood flow in cerebrovascular disease. Neurology 50:633–641
Chalela JA, Alsop DC, Gonzalez-Atavales JB et al (2000) Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling. Stroke 2000(31):680–687
Alsop DC, Detre JA, Grossman M (2000) Assessment of cerebral blood flow in Alzheimer’s disease by spin-labeled magnetic resonance imaging. Ann Neurol 47:93–100
Yoshiura T, Hiwatashi A, Noguchi T et al (2009) Arterial spin labelling at 3-T MR imaging for detection of individuals with Alzheimer’s disease. Eur Radiol 19:2819–2825
Chawla S, Wang S, Wolf RL et al (2007) Arterial spin-labeling and MR spectroscopy in the differentiation of gliomas. AJNR Am J Neuroradiol 28:1683–1689
Kim HS, Kim SY (2007) A prospective study on the added value of pulsed arterial spin-labeling and apparent diffusion coefficients in the grading of gliomas. AJNR Am J Neuroradiol 28:1693–1699
Noguchi T, Yoshiura T, Hiwatashi A et al (2008) Perfusion imaging of brain tumors using arterial spin-labeling: correlation with histopathologic vascular density. Am J Neuroradiol 29:688–693
Tourdias T, Rodrigo S, Oppenheim C et al (2008) Pulsed arterial spin labeling applications in brain tumors: practical review. Neuroradiol 35:79–89
Tyler JL, Diksic M, Villemure JG et al (1987) Metabolic and hemodynamic evaluation of gliomas using positron emission tomography. J Nucl Med 28:1123–1133
Petersen ET, Lim T, Golay X (2006) Model-free arterial spin labeling quantification approach for perfusion MRI. Magn Reson Med 55:219–232
Look DC, Locker DR (1970) Time saving in measurement of NMR and EPR relaxation times. Rev Sci Instrum 41:250–251
Yamashita K, Yoshiura T, Hiwatashi A et al (2012) Arterial spin labeling of hemangioblastoma: differentiation from metastatic brain tumors based on quantitative blood flow measurement. Neuroradiology 54:809–813
Lehmann P, Monet P, de Marco G et al (2010) A comparative study of perfusion measurement in brain tumours at 3 Tesla MR: arterial spin labeling versus dynamic susceptibility contrast-enhanced MRI. Eur Neurol 64:21–26
Loeber RT, Sherwood AR, Renshaw PF et al (1999) Differences in cerebellar blood volume in schizophrenia and bipolar disorder. Schizophr Res 37:81–89
Löbel U, Sedlacik J, Reddick WE et al (2011) Quantitative diffusion-weighted and dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging analysis of T2 hypointense lesion components in pediatric intrinsic pontine glioma. AJNR Am J Neuroradiol 32:315–322
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845
Herholz K, Pietrzyk U, Voges J et al (1993) Correlation of glucose consumption and tumor cell density in astrocytomas. A stereotactic PET study. J Neurosurg 79:853–858
Wolf RL, Wang J, Wang S et al (2005) Grading of CNS neoplasms using continuous arterial spin labeled perfusion MR imaging at 3 Tesla. J Magn Reson Imaging 22:475–482
Pfefferbaum A, Chanraud S, Pitel AL et al (2010) Volumetric cerebral perfusion imaging in healthy adults: regional distribution, laterality, and repeatability of pulsed continuous arterial spin labeling (PCASL). Psychiatry Res 182:266–273
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This work was supported by JSPS KAKENHI Grant Number 23791432.
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Yamashita, K., Yoshiura, T., Hiwatashi, A. et al. Differentiating primary CNS lymphoma from glioblastoma multiforme: assessment using arterial spin labeling, diffusion-weighted imaging, and 18F-fluorodeoxyglucose positron emission tomography. Neuroradiology 55, 135–143 (2013). https://doi.org/10.1007/s00234-012-1089-6
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DOI: https://doi.org/10.1007/s00234-012-1089-6