Abstract Background Arterial spin labeling is an MR imaging technique that measures cerebral blood flow (CBF) non-invasively. The aim of the study is to assess the diagnostic performance of Arterial spin labeling (ASL) MR imaging for differentiation between high-grade glioma and low-grade glioma. Methods Cochrane Library, Embase, Medline and Web of Science Core Collection were searched. Study selection until November 2017. This study was prospectively registered in Prospero (CRD42017080885). Two authors screened all titles and abstracts for possible inclusion. Data were extracted independently by two authors. Bivariate random effects meta-analysis was used to describe summary receiver operating characteristics. Trial sequential analysis (TSA) was performed. Results In total 15 studies with 505 patients were included. The diagnostic performance of ASL CBF for glioma grading was 0.90 with summary sensitivity 0.89 (0.79–0.90) and specificity 0.80 (0.72–0.89). The diagnostic performance was similar between pulsed ASL (AUC 0.90) with a sensitivity 0.85 (0.71–0.91) and specificity 0.83 (0.69–0.92) and pseudocontinous ASL (AUC 0.88) with a sensitivity 0.86 (0.79–0.91) and specificity 0.80 (0.65–0.87). In astrocytomas, the diagnostic performance was 0.89 with sensitivity 0.86 (0.79 to 0.91) and specificity 0.79 (0.63 to 0.89). Sensitivity analysis confirmed the robustness of the findings. TSA revealed that the meta-analysis was adequately powered. Conclusion Arterial spin labeling MR imaging had an excellent diagnostic accuracy for differentiation between high-grade and low-grade glioma. Given its low cost, non-invasiveness, and efficacy, ASL MR imaging should be considered for implementation in the routine work-up of patients with glioma. Arterial spin labeling, Glioma, Imaging, CNS, Brain tumors © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: firstname.lastname@example.org This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices)
Neuro-Oncology – Oxford University Press
Published: Jun 2, 2018
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