Oncotarget

Research Papers:

Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging

Alborz Adeli, Katharina Hess, Christian Mawrin, Eileen Maria Susanne Streckert, Walter Stummer, Werner Paulus, André Kemmling, Markus Holling, Walter Heindel, Rene Schmidt, Dorothee Cäcilia Spille, Peter B. Sporns and Benjamin Brokinkel _

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Oncotarget. 2018; 9:35974-35982. https://doi.org/10.18632/oncotarget.26313

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Abstract

Alborz Adeli1, Katharina Hess2, Christian Mawrin3, Eileen Maria Susanne Streckert4, Walter Stummer4, Werner Paulus2, André Kemmling1, Markus Holling4, Walter Heindel1, Rene Schmidt5, Dorothee Cäcilia Spille5,*, Peter B. Sporns1,* and Benjamin Brokinkel4,*

1Institute of Clinical Radiology, University of Münster, Münster, North Rhine-Westphalia, Germany

2Institute of Neuropathology, University Hospital Münster, Münster, North Rhine-Westphalia, Germany

3Institute of Neuropathology, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany

4Department of Neurosurgery, University Hospital Münster, Münster, North Rhine-Westphalia, Germany

5Institute of Biostatistics and Clinical Research, University of Münster, Münster, North Rhine-Westphalia, Germany

*These authors have contributed equally to this work

Correspondence to:

Benjamin Brokinkel, email: benjamin.brokinkel@ukmuenster.de

Keywords: brain invasion; grading; meningioma; magnetic resonance imaging; radiology

Received: July 22, 2018    Accepted: October 25, 2018    Published: November 13, 2018

ABSTRACT

Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on preoperative MRI were investigated in 617 meningioma patients. BI was strongly correlated with other high-grade criteria (p<.001). Presence of a contrast enhancing tumour capsule, disruption of the arachnoid layer, intratumoural calcifications and T2-intensity were not related to high-grade histology or BI (p>.05, each). High-grade histology (p=.033) but not BI (p=.354) was associated with tumour location. Irregular tumour shape (OR: 3.33, 95%CI 1.33-8.30; p=.007), heterogeneous contrast enhancement (OR: 2.82, 95%CI 1.19-6.70; p=.015) and peritumoural edema (OR: 1.005 per ccm, 95%CI 1.001-1.008); p=.011) were associated with BI. Multivariable analyses identified only increasing edema volume (OR: 1.005 per ccm, 95%CI 1.002-1.009; p=.010) as a predictor for BI, independent of other histopathological high-grade criteria. We finally provide a new model to estimate the risk of BI using routine preoperative MRI. Several imaging characteristics were identified as predictors for BI. Consideration in clinical routine can increase the accuracy of the detection in neuropathological analyses.


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