title: White Matter tract involvement in brain tumors: a diffusion tensor imaging analysis.
abstract: BACKGROUND
  Characterization of WM alteration using MR imaging is important in the pre- and intraoperative assessment of brain tumors. This study characterizes the extent and severity of WM tract alterations near brain tumors using DTI in an effort to determine preoperative viability or resectability of the adjacent WM tracts. Fractional anisotropy is an important DTI-derived metric of MR imaging.
  
  
  METHODS
  Twenty-one patients underwent MR DTI. Eighty-six WM tracts composed of 43 WM lesions paired with 43 contralateral WM hemispheric controls were categorized using FA. Neuroradiologists categorized the WM tracts as edematous, displaced, disrupted, or infiltrated with tumor using directionally encoded color maps. A mixed model analysis was used to compare FA.
  
  
  RESULTS
  Of the lesioned tracts, 5 were scored as edema, 9 as infiltration, 18 as displacement, and 11 as disruption. A significant DeltaFA(%) was found between the lesioned and contralateral hemispheres only in WM disruption (P = .0056). Both edema FA and disruption FA are significantly less than displacement FA (P < .05). The FA change (DeltaFA(%) = [FA(lesion) - FA(normal)]/FA(normal) x 100%) on the lesioned side was calculated. A DeltaFA% less than -30% is likely to be associated with WM disruption. A positive DeltaFA% is likely to be associated with edema or displacement, and a DeltaFA% between 0% and -30% is likely to be associated with WM displacement or infiltration.
  
  
  CONCLUSIONS
  Quantitative analysis of DTI data may provide insight as to whether WM tracts are salvageable preoperatively.
authors.affiliation: Department of Medical Imaging, Buddhist Tzu Chi General Hospital and Tzu Chi University, Hualien, Taiwan. bb1472@hotmail.com
authors.forename: Pao Sheng
authors.initials: PS
authors.lastname: Yen
authors.forename: Beng Tiong
authors.initials: BT
authors.lastname: Teo
authors.forename: Cheng Hui
authors.initials: CH
authors.lastname: Chiu
authors.forename: Shang Chi
authors.initials: SC
authors.lastname: Chen
authors.forename: Tsung Lang
authors.initials: TL
authors.lastname: Chiu
authors.forename: Chain Fa
authors.initials: CF
authors.lastname: Su
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016880:Anisotropy; D001921:Brain / Q000473:pathology* / Q000503:physiopathology / Q000601:surgery; D001929:Brain Edema / Q000209:etiology / Q000473:pathology* / Q000503:physiopathology; D001932:Brain Neoplasms / Q000473:pathology* / Q000503:physiopathology / Q000601:surgery; D056324:Diffusion Tensor Imaging / Q000379:methods*; D018450:Disease Progression; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016343:Monitoring, Intraoperative / Q000379:methods; D009361:Neoplasm Invasiveness / Q000473:pathology / Q000503:physiopathology; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D009434:Neural Pathways / Q000473:pathology / Q000503:physiopathology / Q000601:surgery; D011183:Postoperative Complications / Q000209:etiology / Q000503:physiopathology / Q000517:prevention & control; D011237:Predictive Value of Tests; D011300:Preoperative Care / Q000379:methods; D012680:Sensitivity and Specificity; D055815:Young Adult