The role of multi-parametric magnetic resonance imaging (MRI) in early prediction of malignant transformation of low-grade Gliomas (A Systematic review)
1Department of Radiology, Faculty of Clinical Sciences, Usmanu Danfodiyo University Sokoto, Nigeria.
2Department of Radiology, Faculty of Clinical Sciences, Usmanu Danfodiyo University Sokoto, Nigeria.
Review Article
GSC Advanced Research and Reviews, 2020, 05(03), 014-029.
Article DOI: 10.30574/gscarr.2020.5.3.0122
Publication history:
Received on 28 November 2020; revised on 08 December 2020; accepted on 10 December 2020
Abstract:
Introduction: Low-grade gliomas is the most common primary brain tumour, although the presentation may take up to two decades, there is high tendency of early malignant transformation which raise a growing concern. Multi-parametric MRI studies have the potential for predicting the early malignant transformation.
Methods: A comprehensive electronic search of various databases was conducted together with forward tracking of the reference list to retrieve relevant qualitative primary studies. Moreover, hand search for journal that was not available electronically was also conducted. Through assessment of the relevant studies was ensured and the included studies were carefully selected. The relevant data was extracted by data extraction form recommended by Cochrane collaborations.
Results: The search yielded 1158 which was narrowed down to eight (8) studies that satisfied the inclusion criteria. These studies are assessing the role of different MRI parameters in predicting the early malignant transformation of Low-grade gliomas. The risk of bias and the applicability concern of the included studies are low.
Conclusion: Based on the findings of this review; Multi-parametric MRI studies have the potential of predicting the early malignant transformation of low-grade gliomas. There is need for high quality large scale, prospective studies on the role of multi-parametric MRI studies in early prediction of malignant transformation of LGGs and meta-analysis of these studies is highly recommended.
Keywords:
Magnetic resonance imaging (MRI); Low-grade gliomas (LGGs); Histology, Biopsy; Immuno-histochemistry
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