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A meta-analysis of arterial spin labelling perfusion values for the prediction of glioma grade.
- Source :
-
Clinical radiology [Clin Radiol] 2017 Mar; Vol. 72 (3), pp. 255-261. Date of Electronic Publication: 2016 Dec 06. - Publication Year :
- 2017
-
Abstract
- Aim: To investigate the ability of arterial spin labelling (ASL) perfusion parameters to distinguish high-grade from low-grade gliomas.<br />Materials and Methods: The PubMed and EMBASE databases were systematically searched for relevant articles published up to September 2015. Studies that evaluated both high- and low-grade gliomas using ASL were included. The random effect model was used to calculate the standardised mean difference (SMD) of maximum mean absolute tumour blood flow values (aTBF <subscript>max</subscript> , aTBF <subscript>mean</subscript> ) and maximum mean relative tumour blood flow (rTBF <subscript>max</subscript> , rTBF <subscript>mean</subscript> ) between high- and low-grade gliomas.<br />Results: Nine studies encompassing 305 patients with high- and low-grade gliomas, met all inclusion and exclusion criteria and were included in the study. Compared with low-grade gliomas, high-grade gliomas had a significant increase in all ASL perfusion values: aTBF <subscript>max</subscript> (SMD=0.70, 95% confidence interval [CI]: 0.22-1.19, p=0.0046); aTBF <subscript>mean</subscript> (SMD=0.86, 95% CI: 0.2-1.52, p=0.01); rTBF <subscript>max</subscript> (SMD=1.08, 95% CI: 0.54-1.63, p=0.0001) and rTBF <subscript>mean</subscript> (SMD=0.88, 95% CI: 0.35-1.4, p=0.0011).<br />Conclusions: The current study results indicate that tumour blood flow from ASL differs significantly with respect to the glioma grade. Despite some limitations, there is evidence that ASL may be useful to distinguish high- and low-grade gliomas. Further larger-scale studies are necessary to examine the utility of ASL to distinguish tumour grade.<br /> (Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Brain Neoplasms diagnostic imaging
Female
Glioma diagnostic imaging
Humans
Incidence
Magnetic Resonance Angiography statistics & numerical data
Male
Middle Aged
Neoplasm Grading
Neovascularization, Pathologic diagnostic imaging
Prognosis
Reproducibility of Results
Risk Factors
Sensitivity and Specificity
Spin Labels
Brain Neoplasms epidemiology
Brain Neoplasms pathology
Glioma epidemiology
Glioma pathology
Magnetic Resonance Angiography methods
Neovascularization, Pathologic epidemiology
Neovascularization, Pathologic pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1365-229X
- Volume :
- 72
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Clinical radiology
- Publication Type :
- Academic Journal
- Accession number :
- 27932251
- Full Text :
- https://doi.org/10.1016/j.crad.2016.10.016