title: Diffusion imaging for tumor grading of supratentorial brain tumors in the first year of life.
abstract: OBJECTIVE
  Supratentorial tumors in the first year of life are typically large and heterogeneous at presentation, making differentiation of these CNS neoplasms on pre-operative imaging difficult. We hypothesize that the ADC value can reliably differentiate high- versus low-grade supratentorial tumors in this patient population.
  
  
  METHODS
  A blinded review of ADC maps was performed on 19 patients with histologically proved supratentorial brain tumors diagnosed within the first year of life. Minimum ADC values obtained by region of interest from 2 neuroradiologists were averaged and compared with World Health Organization tumor grade. ADC values for the entire tumor were also obtained by use of a semi-automated histogram method and compared with World Health Organization tumor grade. Data were analyzed by use of Spearman ρ and Student t test, with a value of P < .05 considered statistically significant.
  
  
  RESULTS
  For the manual ADC values, a significant negative correlation was found between the mean minimum ADC and tumor grade (P = .0016). A significant difference was found between the mean minimum ADC of the low-grade (1.14 × 10(-3) mm(2)/s ± 0.30) and high-grade tumors (0.64 × 10(-3) mm(2)/s ± 0.28) (P = .0018). Likewise, the semi-automated method demonstrated a significant negative correlation between the lowest 5th (P = .0002) and 10th (P = .0009) percentile individual tumor ADC values and tumor grade, a significant difference between the mean 5th and 10th percentile ADC values of the low-grade and high-grade groups (P = .0028), and a significant positive correlation with values obtained by manual region-of-interest placement (P < .000001).
  
  
  CONCLUSIONS
  ADC maps can differentiate high- versus low-grade neoplasms for supratentorial tumors presenting in the first year of life, given the significant negative correlation between ADC values and tumor grade.
authors.affiliation: From Indiana University School of Medicine, Department of Radiology and Imaging Sciences, Indianapolis, Indiana.
authors.forename: S F
authors.initials: SF
authors.lastname: Kralik
authors.forename: A
authors.initials: A
authors.lastname: Taha
authors.forename: A P
authors.initials: AP
authors.lastname: Kamer
authors.forename: J S
authors.initials: JS
authors.lastname: Cardinal
authors.forename: T A
authors.initials: TA
authors.lastname: Seltman
authors.forename: C Y
authors.initials: CY
authors.lastname: Ho
mesh_terms: D016477:Artifacts; D002540:Cerebral Cortex / Q000473:pathology; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D018303:Ganglioglioma / Q000473:pathology*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D060787:Neoplasm Grading; D012189:Retrospective Studies; D018335:Rhabdoid Tumor / Q000473:pathology*; D012680:Sensitivity and Specificity; D015173:Supratentorial Neoplasms / Q000473:pathology*; D013724:Teratoma / Q000473:pathology*; D014944:World Health Organization