title: Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses.
abstract: To compare compressed diffusion spectrum imaging (CS-DSI) with diffusion tensor imaging (DTI) in patients with intracranial masses. We hypothesized that CS-DSI would provide superior visualization of the motor and language tracts.
  
  
  
  We retrospectively analyzed 25 consecutive patients with intracranial masses who underwent DTI and CS-DSI for preoperative planning. Directionally-encoded anisotropy maps, and streamline hand corticospinal motor tracts and arcuate fasciculus language tracts were graded according to a 3-point scale. Tract counts, anisotropy, and lengths were also calculated. Comparisons were made using exact marginal homogeneity, McNemar's and Wilcoxon signed-rank tests.
  
  
  
  Readers preferred the CS-DSI over DTI anisotropy maps in 92% of the cases, and the CS-DSI over DTI tracts in 84%. The motor tracts were graded as excellent in 80% of cases for CS-DSI versus 52% for DTI; 58% of the motor tracts graded as acceptable in DTI were graded as excellent in CS-DSI (p=0.02). The language tracts were graded as excellent in 68% for CS-DSI versus none for DTI; 78% of the language tracts graded as acceptable by DTI were graded as excellent by CS-DSI (p<0.001). CS-DSI demonstrated smaller normalized mean differences than DTI for motor tract counts, anisotropy and language tract counts (p≤0.01).
  
  
  
  CS-DSI was preferred over DTI for the evaluation of motor and language white matter tracts in patients with intracranial masses. Results suggest that CS-DSI may be more useful than DTI for preoperative planning purposes.
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center; Brain Tumor Center, Memorial Sloan Kettering Cancer Center. Electronic address: youngrobert@gmail.com.
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Young
authors.affiliation: Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research.
authors.forename: Ek T
authors.initials: ET
authors.lastname: Tan
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center; Department of Medical Physics, Memorial Sloan Kettering Cancer Center.
authors.forename: Kyung K
authors.initials: KK
authors.lastname: Peck
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center.
authors.forename: Mehrnaz
authors.initials: M
authors.lastname: Jenabi
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center; Brain Tumor Center, Memorial Sloan Kettering Cancer Center.
authors.forename: Sasan
authors.initials: S
authors.lastname: Karimi
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center.
authors.forename: Nicole
authors.initials: N
authors.lastname: Brennan
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Rubel
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center; Brain Tumor Center, Memorial Sloan Kettering Cancer Center.
authors.forename: John
authors.initials: J
authors.lastname: Lyo
authors.affiliation: Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center.
authors.forename: Weiji
authors.initials: W
authors.lastname: Shi
authors.affiliation: Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center.
authors.forename: Zhigang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research.
authors.forename: Marcel
authors.initials: M
authors.lastname: Prastawa
authors.affiliation: Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research.
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research.
authors.forename: Jonathan I
authors.initials: JI
authors.lastname: Sperl
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center.
authors.forename: Robin
authors.initials: R
authors.lastname: Fatovic
authors.affiliation: Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research.
authors.forename: Luca
authors.initials: L
authors.lastname: Marinelli
authors.affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center; Brain Tumor Center, Memorial Sloan Kettering Cancer Center.
authors.forename: Andrei I
authors.initials: AI
authors.lastname: Holodny
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000000981:diagnostic imaging; D001932:Brain Neoplasms / Q000000981:diagnostic imaging*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies
keywords: Compressed-sensing; Diffusion spectrum; Diffusion tensor