A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging
Abstract Background Molecular characterization plays a crucial role in glioma classification which impacts treatment strategy and patient outcome. Dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) perfusion imaging have been suggested as methods to help characterize glioma in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-06-01
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| Series: | Insights into Imaging |
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| Online Access: | https://doi.org/10.1186/s13244-022-01230-7 |
| _version_ | 1818207433994010624 |
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| author | Lusien van Santwijk Valentina Kouwenberg Frederick Meijer Marion Smits Dylan Henssen |
| author_facet | Lusien van Santwijk Valentina Kouwenberg Frederick Meijer Marion Smits Dylan Henssen |
| author_sort | Lusien van Santwijk |
| collection | DOAJ |
| description | Abstract Background Molecular characterization plays a crucial role in glioma classification which impacts treatment strategy and patient outcome. Dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) perfusion imaging have been suggested as methods to help characterize glioma in a non-invasive fashion. This study set out to review and meta-analyze the evidence on the accuracy of DSC and/or DCE perfusion MRI in predicting IDH genotype and 1p/19q integrity status. Methods After systematic literature search on Medline, EMBASE, Web of Science and the Cochrane Library, a qualitative meta-synthesis and quantitative meta-analysis were conducted. Meta-analysis was carried out on aggregated AUC data for different perfusion metrics. Results Of 680 papers, twelve were included for the qualitative meta-synthesis, totaling 1384 patients. It was observed that CBV, ktrans, Ve and Vp values were, in general, significantly higher in IDH wildtype compared to IDH mutated glioma. Meta-analysis comprising of five papers (totaling 316 patients) showed that the AUC of CBV, ktrans, Ve and Vp were 0.85 (95%-CI 0.75–0.93), 0.81 (95%-CI 0.74–0.89), 0.84 (95%-CI 0.71–0.97) and 0.76 (95%-CI 0.61–0.90), respectively. No conclusive data on the prediction of 1p/19q integrity was available from these studies. Conclusions Future research should aim to predict 1p/19q integrity based on perfusion MRI data. Additionally, correlations with other clinically relevant outcomes should be further investigated, including patient stratification for treatment and overall survival. |
| first_indexed | 2024-12-12T04:28:51Z |
| format | Article |
| id | doaj.art-241de5bedb484a9089fca024cc2776d3 |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-12-12T04:28:51Z |
| publishDate | 2022-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-241de5bedb484a9089fca024cc2776d32022-12-22T00:38:08ZengSpringerOpenInsights into Imaging1869-41012022-06-0113111210.1186/s13244-022-01230-7A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imagingLusien van Santwijk0Valentina Kouwenberg1Frederick Meijer2Marion Smits3Dylan Henssen4Department of Medical Imaging, Radboud University Medical CenterDepartment of Medical Imaging, Radboud University Medical CenterDepartment of Medical Imaging, Radboud University Medical CenterDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center RotterdamDepartment of Medical Imaging, Radboud University Medical CenterAbstract Background Molecular characterization plays a crucial role in glioma classification which impacts treatment strategy and patient outcome. Dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) perfusion imaging have been suggested as methods to help characterize glioma in a non-invasive fashion. This study set out to review and meta-analyze the evidence on the accuracy of DSC and/or DCE perfusion MRI in predicting IDH genotype and 1p/19q integrity status. Methods After systematic literature search on Medline, EMBASE, Web of Science and the Cochrane Library, a qualitative meta-synthesis and quantitative meta-analysis were conducted. Meta-analysis was carried out on aggregated AUC data for different perfusion metrics. Results Of 680 papers, twelve were included for the qualitative meta-synthesis, totaling 1384 patients. It was observed that CBV, ktrans, Ve and Vp values were, in general, significantly higher in IDH wildtype compared to IDH mutated glioma. Meta-analysis comprising of five papers (totaling 316 patients) showed that the AUC of CBV, ktrans, Ve and Vp were 0.85 (95%-CI 0.75–0.93), 0.81 (95%-CI 0.74–0.89), 0.84 (95%-CI 0.71–0.97) and 0.76 (95%-CI 0.61–0.90), respectively. No conclusive data on the prediction of 1p/19q integrity was available from these studies. Conclusions Future research should aim to predict 1p/19q integrity based on perfusion MRI data. Additionally, correlations with other clinically relevant outcomes should be further investigated, including patient stratification for treatment and overall survival.https://doi.org/10.1186/s13244-022-01230-7Dynamic contrast enhancement magnetic resonance perfusion imagingDynamic susceptibility contrast magnetic resonance perfusion imagingGliomaMolecular classification |
| spellingShingle | Lusien van Santwijk Valentina Kouwenberg Frederick Meijer Marion Smits Dylan Henssen A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging Insights into Imaging Dynamic contrast enhancement magnetic resonance perfusion imaging Dynamic susceptibility contrast magnetic resonance perfusion imaging Glioma Molecular classification |
| title | A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging |
| title_full | A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging |
| title_fullStr | A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging |
| title_full_unstemmed | A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging |
| title_short | A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging |
| title_sort | systematic review and meta analysis on the differentiation of glioma grade and mutational status by use of perfusion based magnetic resonance imaging |
| topic | Dynamic contrast enhancement magnetic resonance perfusion imaging Dynamic susceptibility contrast magnetic resonance perfusion imaging Glioma Molecular classification |
| url | https://doi.org/10.1186/s13244-022-01230-7 |
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