ArticleMagnetic resonance imaging2017
Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses.
Article in Magnetic resonance imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- How gliomas affect white matter tract bundles associated with the limbic cortex.Neuroimage. Reports · 2025Article
- Three-dimensional architecture characteristics and diffusion properties of masticatory muscles assessed with diffusion tensor imaging and diffusion spectrum imaging: a pilot study of differences, reproducibility and sensitivity to microenvironment changes.BMC musculoskeletal disorders · 2025Article
- Acceleration of uterine 3D T2-weighted imaging by compressed SENSE-a multicentre study.The British journal of radiology · 2024Article
- A practical evaluation of measures derived from compressed sensing diffusion spectrum imaging.Human brain mapping · 2024Article
- Establishing the Validity of Compressed Sensing Diffusion Spectrum Imaging.bioRxiv : the preprint server for biology · 2023Article
- The value of DTI: achieving high diagnostic performance for brain metastasis.La Radiologia medica · 2021Article
- A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches.Frontiers in neuroscience · 2021Article
- Diffusion Weighted/Tensor Imaging, Functional MRI and Perfusion Weighted Imaging in Glioblastoma-Foundations and Future.Frontiers in neurology · 2017Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
purposeTo 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. MATERIALS AND
methodsWe 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.
resultsReaders 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).
conclusionCS-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.
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