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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
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 diffu...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334387/ https://www.ncbi.nlm.nih.gov/pubmed/27300198 http://dx.doi.org/10.1007/s00330-016-4451-y |
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author | Grabner, Günther Kiesel, Barbara Wöhrer, Adelheid Millesi, Matthias Wurzer, Aygül Göd, Sabine Mallouhi, Ammar Knosp, Engelbert Marosi, Christine Trattnig, Siegfried Wolfsberger, Stefan Preusser, Matthias Widhalm, Georg |
author_facet | Grabner, Günther Kiesel, Barbara Wöhrer, Adelheid Millesi, Matthias Wurzer, Aygül Göd, Sabine Mallouhi, Ammar Knosp, Engelbert Marosi, Christine Trattnig, Siegfried Wolfsberger, Stefan Preusser, Matthias Widhalm, Georg |
author_sort | Grabner, Günther |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4451-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5334387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-53343872017-03-15 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 Grabner, Günther Kiesel, Barbara Wöhrer, Adelheid Millesi, Matthias Wurzer, Aygül Göd, Sabine Mallouhi, Ammar Knosp, Engelbert Marosi, Christine Trattnig, Siegfried Wolfsberger, Stefan Preusser, Matthias Widhalm, Georg Eur Radiol Magnetic Resonance 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4451-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-06-14 2017 /pmc/articles/PMC5334387/ /pubmed/27300198 http://dx.doi.org/10.1007/s00330-016-4451-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Magnetic Resonance Grabner, Günther Kiesel, Barbara Wöhrer, Adelheid Millesi, Matthias Wurzer, Aygül Göd, Sabine Mallouhi, Ammar Knosp, Engelbert Marosi, Christine Trattnig, Siegfried Wolfsberger, Stefan Preusser, Matthias Widhalm, Georg 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Magnetic Resonance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334387/ https://www.ncbi.nlm.nih.gov/pubmed/27300198 http://dx.doi.org/10.1007/s00330-016-4451-y |
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