title: Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.
abstract: OBJECTIVE
  Histopathologic grade of glial tumors is inversely correlated with the minimum apparent diffusion coefficient (ADC). We assessed the diagnostic values of minimum ADC for preoperative grading of supratentorial astrocytomas that were diagnosed as low-grade astrocytomas on conventional MR imaging.
  
  
  METHODS
  Among 118 patients with astrocytomas (WHO grades II-IV), 16 who showed typical MR imaging findings of low-grade supratentorial astrocytomas on conventional MR imaging were included. All 16 patients underwent preoperative MR imaging and diffusion-weighted imaging. The minimum ADC value of each tumor was determined from several regions of interest in the tumor on ADC maps. To assess the relationship between the minimum ADC and tumor grade, we performed the Mann-Whitney U test. A receiver operating characteristic (ROC) analysis was used to determine the cutoff value of the minimum ADC that had the best combination of sensitivity and specificity for distinguishing low- and high-grade astrocytomas.
  
  
  RESULTS
  Eight of the 16 patients (50%) were confirmed as having high-grade astrocytomas (WHO grades III and IV), and the other 8 patients were confirmed as having low-grade astrocytomas (WHO grade II). The median minimum ADC of the high-grade astrocytoma (1.035 x 10(-3) mm(2) . sec(-1)) group was significantly lower than that of the low-grade astrocytoma group (1.19 x 10(-3) mm(2) . sec(-1)) (P = .021). According to the ROC analysis, the cutoff value of 1.055 x 10(-3) mm(2) . sec(-1) for the minimum ADC generated the best combination of sensitivity (87.5%) and specificity (79%) (P = .021).
  
  
  CONCLUSIONS
  Measuring minimum ADC can provide valuable diagnostic information for the preoperative grading of presumptive low-grade supratentorial astrocytomas.
authors: Department of Medical Imaging, Toronto Western Hospital, Toronto, Ontario, Canada.
authors: E J
authors: EJ
authors: Lee
authors: S K
authors: SK
authors: Lee
authors: R
authors: R
authors: Agid
authors: J M
authors: JM
authors: Bae
authors: A
authors: A
authors: Keller
authors: K
authors: K
authors: Terbrugge
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001254:Astrocytoma / Q000175:diagnosis*; D001932:Brain Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity