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Clinical Neuroradiology
Published in: Clinical Neuroradiology 3/2017

01-09-2017 | Original Article

Differentiation of Hemangioblastoma from Metastatic Brain Tumor using Dynamic Contrast-enhanced MR Imaging

Authors: J. Cha, S. T. Kim, D.-H. Nam, D-S. Kong, H.-J. Kim, Y. K. Kim, H. Y. Kim, G. M. Park, P. Jeon, K. H. Kim, H. S. Byun

Published in: Clinical Neuroradiology | Issue 3/2017

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Abstract

Purpose

The aim of this study was to differentiate hemangioblastomas from metastatic brain tumors using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and compare the diagnostic performances with diffusion-weighted imaging (DWI) and dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).

Methods

We retrospectively reviewed 7 patients with hemangioblastoma and 15 patients with metastatic adenocarcinoma with magnetic resonance imaging (MRI) including DWI, DSC-MRI, and DCE-MRI. Apparent diffusion coefficient (ADC), relative cerebral blood volume (rCBV), and DCE-MRI parameters (K trans, k ep, v e, and v p) were compared between the two groups. The diagnostic performance of each parameter was evaluated with receiver operating characteristic (ROC) curve analysis.

Results

v p, k ep, and rCBV were significantly different between patients with hemangioblastoma and those with metastatic brain tumor (p < 0.001, p = 0.005, and p = 0.017, respectively). A v p cutoff value of 0.012 and a rCBV cutoff value of 8.0 showed the highest accuracy for differentiating hemangioblastoma from metastasis. The area under the ROC curve for v p and rCBV was 0.99 and 0.89, respectively. A v p > 0.012 showed 100 % sensitivity, 93.3 % specificity, and 95.5 % accuracy and a rCBV > 8.0 showed 85.7 % sensitivity, 93.3 % specificity, and 90.9 % accuracy for differentiating hemangioblastoma from metastatic brain tumor.

Conclusion

DCE-MRI was useful for differentiating hemangioblastoma from metastatic brain tumor.
Literature
1.
Tonn J-C, Westphal M. Neuro-Oncology of CNS Tumors. Berlin: Springer; 2005.
2.
Goo HW, Ra YS. Medullary hemangioblastoma in a child with von Hippel-Lindau disease: vascular tumor perfusion depicted by arterial spin labeling and dynamic contrast-enhanced imaging. J Neurosurg Pediatr. 2015;16(1):50–3.CrossRefPubMed
3.
Slater A, Moore NR, Huson SM. The natural history of cerebellar hemangioblastomas in von Hippel-Lindau disease. AJNR Am J Neuroradiol. 2003;24(8):1570–4.PubMed
4.
Richard S, Campello C, Taillandier L, Parker F, Resche F. Haemangioblastoma of the central nervous system in von Hippel-Lindau disease. French VHL Study Group. J Intern Med. 1998;243(6):547–53.CrossRefPubMed
5.
Ho VB, Smirniotopoulos JG, Murphy FM, Rushing EJ. Radiologic-pathologic correlation: hemangioblastoma. AJNR Am J Neuroradiol. 1992;13(5):1343–52.PubMed
6.
Quadery FA, Okamoto K. Diffusion-weighted MRI of haemangioblastomas and other cerebellar tumours. Neuroradiology. 2003;45(4):212–9.CrossRefPubMed
7.
Berkman RA, Merrill MJ, Reinhold WC, Monacci WT, Saxena A, Clark WC, Robertson JT, Ali IU, Oldfield EH. Expression of the vascular permeability factor/vascular endothelial growth factor gene in central nervous system neoplasms. J Clin Invest. 1993;91(1):153–9.CrossRefPubMedPubMedCentral
8.
9.
Brandao LA, Shiroishi MS, Law M. Brain tumors: a multimodality approach with diffusion-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy, dynamic susceptibility contrast and dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Imaging Clin N Am. 2013;21(2):199–239.CrossRefPubMed
10.
Cha J, Kim ST, Kim HJ, Kim BJ, Kim YK, Lee JY, Jeon P, Kim KH, Kong DS, Nam DH. Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis. AJNR Am J Neuroradiol. 2014;35(7):1309–17.CrossRefPubMed
11.
Cha J, Kim ST, Kim HJ, Kim HJ, Kim BJ, Jeon P, Kim KH, Byun HS. Analysis of the layering pattern of the apparent diffusion coefficient (ADC) for differentiation of radiation necrosis from tumour progression. Eur Radiol. 2013;23(3):879–86.CrossRefPubMed
12.
Hakyemez B, Erdogan C, Bolca N, Yildirim N, Gokalp G, Parlak M. Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging. J Magn Reson Imaging. 2006;24(4):817–24.CrossRefPubMed
13.
Kumar VA, Knopp EA, Zagzag D. Magnetic resonance dynamic susceptibility-weighted contrast-enhanced perfusion imaging in the diagnosis of posterior fossa hemangioblastomas and pilocytic astrocytomas: initial results. J Comput Assist Tomogr. 2010;34(6):825–9.CrossRefPubMed
14.
Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10(3):223–32.CrossRefPubMed
15.
Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis. Magn Reson Med. 1996;36(5):715–25.CrossRefPubMed
16.
Boxerman JL, Prah DE, Paulson ES, Machan JT, Bedekar D, Schmainda KM. The Role of preload and leakage correction in gadolinium-based cerebral blood volume estimation determined by comparison with MION as a criterion standard. AJNR Am J Neuroradiol. 2012;33(6):1081–7.CrossRefPubMedPubMedCentral
17.
Parker GJ, Roberts C, Macdonald A, Buonaccorsi GA, Cheung S, Buckley DL, Jackson A, Watson Y, Davies K, Jayson GC. Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI. Magn Reson Med. 2006;56(5):993–1000.CrossRefPubMed
18.
Hilario A, Ramos A, Perez-Nunez A, Salvador E, Millan JM, Lagares A, Sepulveda JM, Gonzalez-Leon P, Hernandez-Lain A, Ricoy JR. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. AJNR Am J Neuroradiol. 2012;33(4):701–7.CrossRefPubMed
19.
O’Connor JP, Jackson A, Parker GJ, Roberts C, Jayson GC. Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies. Nat Rev Clin Oncol. 2012;9(3):167–77.CrossRefPubMed
20.
Chikui T, Obara M, Simonetti AW, Ohga M, Koga S, Kawano S, Matsuo Y, Kamintani T, Shiraishi T, Kitamoto E, Nakamura K, Yoshiura K. The principal of dynamic contrast enhanced MRI, the method of pharmacokinetic analysis, and its application in the head and neck region. Int J Dent. 2012;2012:480659.CrossRefPubMedPubMedCentral
21.
Nguyen TB, Cron GO, Mercier JF, Foottit C, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Caudrelier JM, Sinclair J, Hogan MJ, Thornhill RE, Cameron IG. Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas. AJNR Am J Neuroradiol. 2012;33(8):1539–45.CrossRefPubMed
22.
Zwick S, Brix G, Tofts PS, Strecker R, Kopp-Schneider A, Laue H, Semmler W, Kiessling F. Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI. Eur Radiol. 2010;20(2):432–42.CrossRefPubMed
23.
Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol. 2006;27(4):859–67.PubMed
Metadata
Title
Differentiation of Hemangioblastoma from Metastatic Brain Tumor using Dynamic Contrast-enhanced MR Imaging
Authors
J. Cha
S. T. Kim
D.-H. Nam
D-S. Kong
H.-J. Kim
Y. K. Kim
H. Y. Kim
G. M. Park
P. Jeon
K. H. Kim
H. S. Byun
Publication date
01-09-2017
Publisher
Springer Berlin Heidelberg
Published in
Clinical Neuroradiology / Issue 3/2017
Print ISSN: 1869-1439
Electronic ISSN: 1869-1447
DOI
https://doi.org/10.1007/s00062-016-0508-1

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