title: [Diagnostic Value of Combining Permeability with T1 Perfusion Parameters in Quantitative Dynamic Contrast-enhanced Magnetic Resonance Imaging for Glioma Grading].
abstract: OBJECTIVE To investigate the diagnostic value of combining permeability with T1 perfusion parameters in quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in glioma grading.
  
  
  METHODS
  Magnetic resonance imaging was performed in 16 patients with high grade gliomas (HGG) and 12 patients with low grade gliomas(LGG) confirmed by pathology. The permeability was quantitatively analyzed and the T1 perfusion parameters of the tumor were calculated by the pharmacokinetic model,including volume transfer constant (K(trans)),volume fraction of extravascular extracellular space (ve),reflux constant (kep),fractional plasma volume (vp),cerebral blood flow (CBF),cerebral blood volume (CBV),and mean transit time (MTT). A t-test was used to calculate the statistical significance of quantitative analysis parameters between HGG and LGG. The receiver operating characteristic curve analysis was also performed for evaluating the sensitivity,specificity,and area under curve (AUC) of the permeability parameters and perfusion parameters and the combination of these parameters.
  
  
  RESULTS
  The differences of the K(trans),ve,CBF,and CBV values [(0.276<0.164)/min vs. (0.084<0.044)/min;0.486<0.191 vs. 0.274<0.132;(1.755<1.164)ml/(g·min) vs. (0.761<0.625) ml/(g·min);(0.204<0.101) ml/g vs. (0.115<0.097)ml/g] were statistically significant (t=3.934,3.293,2.672,2.338,P<0.05) between HGG and LGG. The differences of the kep,vp, and MTT value [(1.632<1.204)/min vs. (1.537<1.194)/min;0.114<0.107 vs. 0.055<0.039;(0.128<0.070)min vs. (0.145<0.066)min] were not statistically significant (t=0.208,1.823,0.688,P>0.05). When the K(trans) value was 0.105/min,the AUC was the largest (0.919) by the single parameter in glioma grading,and meanwhile the sensitivity and specificity were 87.5% and 83.3%,respectively. When the ve-CBF value was 0.631,the AUC was the largest (0.974) by the multiple parameter,and meanwhile the sensitivity and specificity were 93.7% and 100.0%,respectively.
  
  
  CONCLUSIONS
  Combining permeability with perfusion parameters in quantitative DCE-MRI can improve the accuracy of the glioma grading.
authors.affiliation: Department of Radiology,Zhejiang University Huzhou Hospital,Huzhou Central Hospital,Huzhou,Zhejiang 313000,China.
authors.forename: Sheng-jie
authors.initials: SJ
authors.lastname: Sun
authors.affiliation: Department of Radiology,Zhejiang University Huzhou Hospital,Huzhou Central Hospital,Huzhou,Zhejiang 313000,China.
authors.forename: Hai-feng
authors.initials: HF
authors.lastname: Qian
authors.affiliation: Department of Radiology,Zhejiang University Huzhou Hospital,Huzhou Central Hospital,Huzhou,Zhejiang 313000,China.
authors.forename: Feng-qi
authors.initials: FQ
authors.lastname: Li
authors.affiliation: Department of Radiology,Zhejiang University Huzhou Hospital,Huzhou Central Hospital,Huzhou,Zhejiang 313000,China.
authors.forename: Zhang-yu
authors.initials: ZY
authors.lastname: Li
authors.affiliation: Department of Radiology,Zhejiang University Huzhou Hospital,Huzhou Central Hospital,Huzhou,Zhejiang 313000,China.
authors.forename: Xiao
authors.initials: X
authors.lastname: Wu
mesh_terms: D019540:Area Under Curve; D001921:Brain; D001932:Brain Neoplasms; D003287:Contrast Media; D005910:Glioma; D006801:Humans; D008279:Magnetic Resonance Imaging; D060787:Neoplasm Grading; D010539:Permeability; D012372:ROC Curve
chemical_list: D003287:Contrast Media