title: Discrimination between glioma grades II and III in suspected low-grade gliomas using dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach.
abstract: BACKGROUND
  Perfusion magnetic resonance imaging (MRI) can be used in the pre-operative assessment of brain tumours. The aim of this prospective study was to identify the perfusion parameters from dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) perfusion imaging that could best discriminate between grade II and III gliomas.
  
  
  METHODS
  MRI (3 T) including morphological ((T2 fluid attenuated inversion recovery (FLAIR) and T1-weighted (T1W)+Gd)) and perfusion (DCE and DSC) sequences was performed in 39 patients with newly diagnosed suspected low-grade glioma after written informed consent in this review board-approved study. Regions of interests (ROIs) in tumour area were delineated on FLAIR images co-registered to DCE and DSC, respectively, in 25 patients with histopathological grade II (n = 18) and III (n = 7) gliomas. Statistical analysis of differences between grade II and grade III gliomas in histogram perfusion parameters was performed, and the areas under the curves (AUC) from the ROC analyses were evaluated.
  
  
  RESULTS
  In DCE, the skewness of transfer constant (k(trans)) was found superior for differentiating grade II from grade III in all gliomas (AUC 0.76). In DSC, the standard deviation of relative cerebral blood flow (rCBF) was found superior for differentiating grade II from grade III gliomas (AUC 0.80).
  
  
  CONCLUSIONS
  Histogram parameters from k(trans) (DCE) and rCBF (DSC) could most efficiently discriminate between grade II and grade III gliomas.
authors.affiliation: Department of Radiology, Oncology and Radiation Science, Section of Radiology, Uppsala University, BFC Akademiska sjukhuset, SE 751 85, Uppsala, Sweden, aka03nfa@gmail.com.
authors.forename: Anna
authors.initials: A
authors.lastname: Falk
authors.forename: Markus
authors.initials: M
authors.lastname: Fahlström
authors.forename: Egill
authors.initials: E
authors.lastname: Rostrup
authors.forename: Shala
authors.initials: S
authors.lastname: Berntsson
authors.forename: Maria
authors.initials: M
authors.lastname: Zetterling
authors.forename: Arvid
authors.initials: A
authors.lastname: Morell
authors.forename: Henrik B W
authors.initials: HB
authors.lastname: Larsson
authors.forename: Anja
authors.initials: A
authors.lastname: Smits
authors.forename: Elna-Marie
authors.initials: EM
authors.lastname: Larsson
mesh_terms: D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000473:pathology* / Q000503:physiopathology; D002560:Cerebrovascular Circulation; D003287:Contrast Media; D059907:Functional Neuroimaging; D005910:Glioma / Q000473:pathology* / Q000503:physiopathology; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000379:methods; D008875:Middle Aged; D060787:Neoplasm Grading; D011446:Prospective Studies; D055815:Young Adult
chemical_list: D003287:Contrast Media