Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Grabner, G; Kiesel, B; Wöhrer, A; Millesi, M; Wurzer, A; Göd, S; Mallouhi, A; Knosp, E; Marosi, C; Trattnig, S; Wolfsberger, S; Preusser, M; Widhalm, G.
Local image variance of 7 Tesla SWI is a new technique for preoperative characterization of diffusely infiltrating gliomas: correlation with tumour grade and IDH1 mutational status.
Eur Radiol. 2017; 27(4):1556-1567
Doi: 10.1007/s00330-016-4451-y
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- Co-authors Med Uni Graz
- Wolfsberger Stefan
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- Abstract:
- OBJECTIVES: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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. KEY POINTS: • 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Adult - administration & dosage
- Aged - administration & dosage
- Brain Neoplasms - diagnostic imaging, pathology
- Female - administration & dosage
- Glioma - diagnostic imaging, pathology
- Humans - administration & dosage
- Image Interpretation, Computer-Assisted - methods
- Image Processing, Computer-Assisted - methods
- Magnetic Resonance Imaging - methods
- Male - administration & dosage
- Middle Aged - administration & dosage
- Mutation - administration & dosage
- Neoplasm Grading - administration & dosage
- Preoperative Care - methods
- Prospective Studies - administration & dosage
- Young Adult - administration & dosage
- Find related publications in this database (Keywords)
- 7 Tesla MRI
- Diffusely infiltrating gliomas
- Susceptibility-weighted imaging
- Local image variance
- Glioma characterization