ArticleEuropean radiology experimental2018
Comparison of DTI analysis methods for clinical research: influence of pre-processing and tract selection methods.
Article in European radiology experimental, 2018. 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.
- Finsler fractional anisotropy (FFA): a directionally sensitive descriptor for multi-fiber white matter characterization in HARDI.Scientific reports · 2026Article
- White Matter Integrity Differences in 2-Year-Old Children Treated With ECMO: A Diffusion-Weighted Imaging Study.The European journal of neuroscience · 2025Article
- Exploration of the white matter bundles connected to the pineal gland: A DTI study.Surgical and radiologic anatomy : SRA · 2024Article
- Diffusion tensor imaging pipeline measures of cerebral white matter integrity: An overview of recent advances and prospects.World journal of clinical cases · 2022Review
- Article
- Individualized Prognostic Prediction of the Long-Term Functional Trajectory in Pediatric Acquired Brain Injury.Journal of personalized medicine · 2021Article
- Microstructural alterations of the corticospinal tract are associated with poor motor function in patients with severe congenital heart disease.NeuroImage. Clinical · 2021Article
- XTRACT - Standardised protocols for automated tractography in the human and macaque brain.NeuroImage · 2020Article
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4 authors.
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Abstract
backgroundThe primary aim was to compare fractional anisotropy (FA) values derived with different diffusion tensor imaging (DTI) analysis approaches (atlas-based, streamline tractography, and combined). A secondary aim was to compare FA values and number of tracts (NT) with the clinical motor outcome quantified by the functional independence measure for children (WeeFIM).
methodsThirty-nine DTI datasets of children with acquired brain injury were analysed. Regions of interest for the ipsilesional corticospinal tract were defined and mean FA and NT were calculated. We evaluated FA values with Spearman correlation, the Friedman and Wilcoxon tests, and Bland-Altman analysis. DTI values were compared to WeeFIM values by non-parametric partial correlation and accuracy was assessed by receiver operating characteristics analysis.
resultsThe FA values from all approaches correlated significantly with each other (p < 0.001). However, the FA values from streamline tractography were significantly higher (mean ± standard deviation (SD), 0.52 ± 0.08) than those from the atlas-based (0.42 ± 0.11) or the combined approach (0.41 ± 0.11) (p < 0.001 for both). FA and NT values correlated significantly with WeeFIM values (atlas-based FA, partial correlation coefficient (ρ) = 0.545, p = 0.001; streamline FA, ρ = 0.505, p = 0.002; NT, ρ = 0.434, p = 0.008; combined FA, ρ = 0.611, p < 0.001). FA of the atlas-based approach (sensitivity 90%, specificity 67%, area under the curve 0.82) and the combined approach (87%, 67%, 0.82), provided the highest predictive accuracy for outcome compared to FA (70%, 67%, 0.67) and NT (50%, 100%, 0.79, respectively) of the streamline approach.
conclusionFA values from streamline tractography were higher than those from the atlas-based and combined approach. The atlas-based and combined approach offer the best predictive accuracy for motor outcome, although both atlas-based and streamline tractography approaches provide significant predictors of clinical outcome.
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