期刊
EUROPEAN RADIOLOGY
卷 27, 期 4, 页码 1556-1567出版社
SPRINGER
DOI: 10.1007/s00330-016-4451-y
关键词
7 Tesla MRI; Diffusely infiltrating gliomas; Susceptibility-weighted imaging; Local image variance; Glioma characterization
资金
- Medical University of Vienna
- Anniversary Fund of the Osterreichische Nationalbank [13457, 16153]
To investigate the value of local image variance (LIV) as a new technique for quantification of hypointense microvascular susceptibility-weighted imaging (SWI) structures at 7 Tesla for preoperative glioma characterization. Adult patients with neuroradiologically suspected diffusely infiltrating gliomas were prospectively recruited and 7 Tesla SWI was performed in addition to standard imaging. After tumour segmentation, quantification of intratumoural SWI hypointensities was conducted by the SWI-LIV technique. Following surgery, the histopathological tumour grade and isocitrate dehydrogenase 1 (IDH1)-R132H mutational status was determined and SWI-LIV values were compared between low-grade gliomas (LGG) and high-grade gliomas (HGG), IDH1-R132H negative and positive tumours, as well as gliomas with significant and non-significant contrast-enhancement (CE) on MRI. In 30 patients, 9 LGG and 21 HGG were diagnosed. The calculation of SWI-LIV values was feasible in all tumours. Significantly higher mean SWI-LIV values were found in HGG compared to LGG (92.7 versus 30.8; p < 0.0001), IDH1-R132H negative compared to IDH1-R132H positive gliomas (109.9 versus 38.3; p < 0.0001) and tumours with significant CE compared to non-significant CE (120.1 versus 39.0; p < 0.0001). Our data indicate that 7 Tesla SWI-LIV might improve preoperative characterization of diffusely infiltrating gliomas and thus optimize patient management by quantification of hypointense microvascular structures. 7 Tesla local image variance helps to quantify hypointense susceptibility-weighted imaging structures. SWI-LIV is significantly increased in high-grade and IDH1-R132H negative gliomas. SWI-LIV is a promising technique for improved preoperative glioma characterization. Preoperative management of diffusely infiltrating gliomas will be optimized.
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