title: A meta-analysis of arterial spin labelling perfusion values for the prediction of glioma grade.
abstract: OBJECTIVE
  To investigate the ability of arterial spin labelling (ASL) perfusion parameters to distinguish high-grade from low-grade gliomas.
  
  
  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 (aTBFmax, aTBFmean) and maximum mean relative tumour blood flow (rTBFmax, rTBFmean) between high- and low-grade gliomas.
  
  
  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: aTBFmax(SMD=0.70, 95% confidence interval [CI]: 0.22-1.19, p=0.0046); aTBFmean(SMD=0.86, 95% CI: 0.2-1.52, p=0.01); rTBFmax(SMD=1.08, 95% CI: 0.54-1.63, p=0.0001) and rTBFmean(SMD=0.88, 95% CI: 0.35-1.4, p=0.0011).
  
  
  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.
authors.affiliation: Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China.
authors.forename: L
authors.initials: L
authors.lastname: Kong
authors.affiliation: Department of Anesthesiology, Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, China.
authors.forename: H
authors.initials: H
authors.lastname: Chen
authors.affiliation: Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China. Electronic address: chenlanren2015@sina.com.
authors.forename: L
authors.initials: L
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001932:Brain Neoplasms / Q000000981:diagnostic imaging / Q000453:epidemiology* / Q000473:pathology*; D005260:Female; D005910:Glioma / Q000000981:diagnostic imaging / Q000453:epidemiology* / Q000473:pathology*; D006801:Humans; D015994:Incidence; D018810:Magnetic Resonance Angiography / Q000379:methods* / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D060787:Neoplasm Grading; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging / Q000453:epidemiology* / Q000473:pathology*; D011379:Prognosis; D015203:Reproducibility of Results; D012307:Risk Factors; D012680:Sensitivity and Specificity; D013113:Spin Labels
chemical_list: D013113:Spin Labels