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European Radiology
Published in: European Radiology 8/2013

01-08-2013 | Neuro

Associations among q-space MRI, diffusion-weighted MRI and histopathological parameters in meningiomas

Authors: Zareen Fatima, Utaroh Motosugi, Ahmed Bilal Waqar, Masaaki Hori, Keiichi Ishigame, Naoki Oishi, Toshiyuki Onodera, Kazuo Yagi, Ryohei Katoh, Tsutomu Araki

Published in: European Radiology | Issue 8/2013

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Abstract

Objectives

The purposes of this MR-based study were to calculate q-space imaging (QSI)–derived mean displacement (MDP) in meningiomas, to evaluate the correlation of MDP values with apparent diffusion coefficient (ADC) and to investigate the relationships among these diffusion parameters, tumour cell count (TCC) and MIB-1 labelling index (LI).

Methods

MRI, including QSI and conventional diffusion-weighted imaging (DWI), was performed in 44 meningioma patients (52 lesions). ADC and MDP maps were acquired from post-processing of the data. Quantitative analyses of these maps were performed by applying regions of interest. Pearson correlation coefficients were calculated for ADC and MDP in all lesions and for ADC and TCC, MDP and TCC, ADC and MIB-1 LI, and MDP and MIB-1 LI in 17 patients who underwent subsequent surgery.

Results

ADC and MDP values were found to have a strong correlation: r = 0.78 (P = <0.0001). Both ADC and MDP values had a significant negative association with TCC: r = –0.53 (p = 0.02) and –0.48 (P = 0.04), respectively. MIB-1 LI was not, however, found to have a significant association with these diffusion parameters.

Conclusion

In meningiomas, both ADC and MDP may be representative of cell density.

Key Points

• Diffusion-weighted MRI offers possibilities to assess the aggressiveness of meningiomas.
• The q-space imaging-derived mean displacement correlates strongly with apparent diffusion coefficients.
• Both diffusion parameters showed a strong negative association with tumour cell counts.
• Derived mean displacement may help assess the aggressiveness of meningiomas preoperatively.
Literature
1.
Nagar VA, Ye JR, Ng WH et al (2008) Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation. AJNR Am J Neuroradiol 29:1147–1152PubMedCrossRef
2.
Filippi CG, Edgar MA, Uluğ AM, Prowda JC, Heier LA, Zimmerman RD (2001) Appearance of meningiomas on diffusion-weighted images: correlating diffusion constants with histopathologic findings. AJNR Am J Neuroradiol 22:65–72PubMed
3.
Pavlisa G, Rados M, Pazanin L, Padovan RS, Ozretic D (2008) Characteristics of typical and atypical meningiomas on ADC maps with respect to schwannomas. Clin Imaging 32:22–27PubMedCrossRef
4.
Santelli L, Ramondo G, DellaPuppa A et al (2010) Diffusion-weighted imaging does not predict histological grading in meningiomas. Acta Neurochir 152:1315–1319PubMedCrossRef
5.
Chen TY, Lai PH, Ho JT et al (2004) Magnetic resonance imaging and diffusion weighted images of cystic meningiomas: correlating with histopathology. Clin Imaging 28:10–19PubMedCrossRef
6.
Hakyemez B, Yildirim N, Gokalp G, Erdogan C, Parlak M (2006) The contribution of diffusion-weighted MR imaging to distinguishing typical from atypical meningiomas. Neuroradiology 48:513–520PubMedCrossRef
7.
Sanverdi SE, Ozgen B, Oguz KK et al (2011) Is diffusion-weighted imaging useful in grading and differentiating histopathological subtypes of meningiomas? Eur J Radiol 81:2389–2395PubMedCrossRef
8.
Kono K, Inoue Y, Nakayama K et al (2001) The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 22:1081–1088PubMed
9.
Hayashida Y, Hirai T, Morishita S et al (2006) Diffusion-weighted imaging of metastatic brain tumors: comparison with histologic type and tumor cellularity. AJNR Am J Neuroradiol 27:1419–1425PubMed
10.
Sugahara T, Korogi Y, Kochi M et al (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imag 9:53–60CrossRef
11.
Gauvain KM, McKinstry RC, Mukherjee P et al (2001) Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. AJR Am J Roentgenol 177:449–454PubMedCrossRef
12.
Hatakenaka M, Soeda H, Yabuuchi H et al (2008) Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 7:23–29PubMedCrossRef
13.
14.
Assaf Y, Ben-Bashat D, Chapman J et al (2002) High b-value q-space analyzed diffusion-weighted MRI: application to multiple sclerosis. Magn Reson Med 47:115–126PubMedCrossRef
15.
Fatima Z, Motosugi U, Hori M et al (2012) High b-value q-space analyzed diffusion-weighted MRI using 1.5 Tesla clinical scanner; determination of displacement parameters in the brains of normal vs. multiple sclerosis and low-grade glioma subjects. J Neuroimaging 22:279–284PubMedCrossRef
16.
Fatima Z, Motosugi U, Hori M et al (2010) q-space imaging (QSI) of the brain: comparison of displacement parameters by QSI and DWI. Magn Reson Med Sci 9:109–110PubMedCrossRef
17.
Niendorf T, Dijkhuizen RM, Norris DG, van Lookeren Campagne M, Nicolay K (1996) Biexponential diffusion attenuation in various states of brain tissue: implications for diffusion-weighted imaging. Magn Reson Med 36:847–857PubMedCrossRef
18.
Santos JMG, Ordonez C, del Rio ST (2008) ADC measurements at low and high b values: insight into normal brain structure with clinical DWI. Magn Reson Imaging 26:35–44CrossRef
19.
Schwarcz A, Bogner P, Meric P et al (2004) The existence of biexponential signal decay in magnetic resonance diffusion-weighted imaging appears to be independent of compartmentalization. Magn Reson Med 51:278–285PubMedCrossRef
20.
Hori M, Fatima Z, Motosugi U et al (2011) A comparison of mean displacement values using high b-value q-space diffusion-weighted MRI with conventional apparent diffusion coefficients in patients with stroke. Acad Radiol 18:837–841PubMedCrossRef
21.
Tanaka G, Nakazato Y (2004) Automatic quantification of the MIB-1 immunoreactivity in brain tumors. Int Congr Ser 1259:15–19CrossRef
22.
Dorenbeck U, Grunwald IQ, Schlaier J, Feuerbach S (2005) Diffusion-weighted imaging with calculated diffusion coefficient of enhancing extra-axial masses. J Neuroimaging 15:341–347PubMed
23.
Ginat DT, Mangla R, Yeaney G, Wang HZ (2010) Correlation of diffusion and perfusion MRI with Ki-67 in high grade meningiomas. AJR Am J Roentgenol 195:1391–1395PubMedCrossRef
24.
Higano S, Yun X, Kumabe T et al (2006) Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 241:839–846PubMedCrossRef
25.
Calvar JA, Meli FJ, Romero C et al (2005) Characterization of brain tumors by MRS, DWI and Ki-67 labeling index. J Neurooncol 72:273–280PubMedCrossRef
26.
Abramovich CM, Prayson RA (1998) MIB-1 labeling indices in benign, aggressive, and malignant meningiomas: a study of 90 tumors. Hum Pathol 29:1420–1427PubMedCrossRef
27.
Yue Q, Shibata Y, Isobe T et al (2009) Absolute choline concentration measured by quantitative proton MR spectroscopy correlates with cell density in meningioma. Neuroradiology 51:61–67PubMedCrossRef
Metadata
Title
Associations among q-space MRI, diffusion-weighted MRI and histopathological parameters in meningiomas
Authors
Zareen Fatima
Utaroh Motosugi
Ahmed Bilal Waqar
Masaaki Hori
Keiichi Ishigame
Naoki Oishi
Toshiyuki Onodera
Kazuo Yagi
Ryohei Katoh
Tsutomu Araki
Publication date
01-08-2013
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2013
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-2823-0

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