title: Comparison of perfusion- and diffusion-weighted imaging parameters in brain tumor studies processed using different software platforms.
abstract: OBJECTIVE
  To compare quantitative imaging parameter measures from diffusion- and perfusion-weighted imaging magnetic resonance imaging (MRI) sequences in subjects with brain tumors that have been processed with different software platforms.
  
  
  METHODS
  Scans from 20 subjects with primary brain tumors were selected from the Comprehensive Neuro-oncology Data Repository at Washington University School of Medicine (WUSM) and the Swedish Neuroscience Institute. MR images were coregistered, and each subject's data set was processed by three software packages: 1) vendor-specific scanner software, 2) research software developed at WUSM, and 3) a commercially available, Food and Drug Administration-approved, processing platform (Nordic Ice). Regions of interest (ROIs) were chosen within the brain tumor and normal nontumor tissue. The results obtained using these methods were compared.
  
  
  RESULTS
  For diffusion parameters, including mean diffusivity and fractional anisotropy, concordance was high when comparing different processing methods. For perfusion-imaging parameters, a significant variance in cerebral blood volume, cerebral blood flow, and mean transit time (MTT) values was seen when comparing the same raw data processed using different software platforms. Correlation was better with larger ROIs (radii ≥ 5 mm). Greatest variance was observed in MTT.
  
  
  CONCLUSIONS
  Diffusion parameter values were consistent across different software processing platforms. Perfusion parameter values were more variable and were influenced by the software used. Variation in the MTT was especially large suggesting that MTT estimation may be unreliable in tumor tissues using current MRI perfusion methods.
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri. Electronic address: mmilch@wustl.edu.
authors.forename: Mikhail V
authors.initials: MV
authors.lastname: Milchenko
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Dhanashree
authors.initials: D
authors.lastname: Rajderkar
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Pamela
authors.initials: P
authors.lastname: LaMontagne
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Parinaz
authors.initials: P
authors.lastname: Massoumzadeh
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Ronald
authors.initials: R
authors.lastname: Bogdasarian
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Gordon
authors.initials: G
authors.lastname: Schweitzer
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Tammie
authors.initials: T
authors.lastname: Benzinger
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Dan
authors.initials: D
authors.lastname: Marcus
authors.affiliation: Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
authors.forename: Joshua S
authors.initials: JS
authors.lastname: Shimony
authors.affiliation: Department of Neurological Surgery, Swedish Medical Center, Seattle, Washington.
authors.forename: Sarah Jost
authors.initials: SJ
authors.lastname: Fouke
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000503:physiopathology*; D002560:Cerebrovascular Circulation; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D012986:Software Validation
keywords: MRI; Tumor imaging; cerebral diffusion; cerebral perfusion
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