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Open Access 01-07-2020 | Glioma | Review

The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas from other intra-axial brain tumours: a systematic review with critical appraisal and meta-analysis

Authors: Gehad Abdalla, Luke Dixon, Eser Sanverdi, Pedro M. Machado, Joey S. W. Kwong, Jasmina Panovska-Griffiths, Antonio Rojas-Garcia, Daisuke Yoneoka, Jelle Veraart, Sofie Van Cauter, Ahmed M. Abdel-Khalek, Magdy Settein, Tarek Yousry, Sotirios Bisdas

Published in: Neuroradiology | Issue 7/2020

Abstract

Purpose

We aim to illustrate the diagnostic performance of diffusional kurtosis imaging (DKI) in the diagnosis of gliomas.

Methods

A review protocol was developed according to the (PRISMA-P) checklist, registered in the international prospective register of systematic reviews (PROSPERO) and published. A literature search in 4 databases was performed using the keywords ‘glioma’ and ‘diffusional kurtosis’. After applying a robust inclusion/exclusion criteria, included articles were independently evaluated according to the QUADAS-2 tool and data extraction was done. Reported sensitivities and specificities were used to construct 2 × 2 tables and paired forest plots using the Review Manager (RevMan®) software. A random-effect model was pursued using the hierarchical summary receiver operator characteristics.

Results

A total of 216 hits were retrieved. Considering duplicates and inclusion criteria, 23 articles were eligible for full-text reading. Ultimately, 19 studies were eligible for final inclusion. The quality assessment revealed 9 studies with low risk of bias in the 4 domains. Using a bivariate random-effect model for data synthesis, summary ROC curve showed a pooled area under the curve (AUC) of 0.92 and estimated sensitivity of 0.87 (95% CI 0.78–0.92) in high-/low-grade gliomas’ differentiation. A mean difference in mean kurtosis (MK) value between HGG and LGG of 0.22 (95% CI 0.25–0.19) was illustrated (p value = 0.0014) with moderate heterogeneity (I² = 73.8%).

Conclusion

DKI shows good diagnostic accuracy in the differentiation of high- and low-grade gliomas further supporting its potential role in clinical practice. Further exploration of DKI in differentiating IDH status and in characterising non-glioma CNS tumours is however needed.

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Title: The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas from other intra-axial brain tumours: a systematic review with critical appraisal and meta-analysis
Authors: Gehad Abdalla
Luke Dixon
Eser Sanverdi
Pedro M. Machado
Joey S. W. Kwong
Jasmina Panovska-Griffiths
Antonio Rojas-Garcia
Daisuke Yoneoka
Jelle Veraart
Sofie Van Cauter
Ahmed M. Abdel-Khalek
Magdy Settein
Tarek Yousry
Sotirios Bisdas
Publication date: 01-07-2020
Publisher: Springer Berlin Heidelberg
Keywords: Glioma
Glioma
Glioma
Published in: Neuroradiology / Issue 7/2020
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-020-02425-9

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas from other intra-axial brain tumours: a systematic review with critical appraisal and meta-analysis

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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