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DC Field | Value | Language |
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dc.contributor.author | Schwarz, G. | - |
dc.contributor.author | Kanber, B. | - |
dc.contributor.author | Prados, F. | - |
dc.contributor.author | Browning, S. | - |
dc.contributor.author | Simister, R. | - |
dc.contributor.author | Jäger, H.R. | - |
dc.contributor.author | Ambler, G. | - |
dc.contributor.author | Gandini Wheeler-Kingshott, Claudia A.M. | - |
dc.contributor.author | Werring, David | - |
dc.date.accessioned | 2024-04-10T13:26:32Z | - |
dc.date.available | 2024-04-10T13:26:32Z | - |
dc.date.issued | 2023-05-02 | - |
dc.identifier.citation | Schwarz, G. Kanber, B. Prados, F. Browning, S. Simister, R. · Jäger, H. R. Ambler, G. Gandini Wheeler‐Kingshott, C. A. M. Werring, D. Whole-brain diffusion tensor imaging predicts 6-month functional outcome in acute intracerebral haemorrhage. Journal of Neurology 270, 2640–2648 https://doi.org/10.1007/s00415-023-11592-7 | - |
dc.identifier.issn | 0340-5354MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/150210 | - |
dc.description.abstract | Introduction Small vessel disease (SVD) causes most spontaneous intracerebral haemorrhage (ICH) and is associated with widespread microstructural brain tissue disruption, which can be quantified via diffusion tensor imaging (DTI) metrics: mean diffusivity (MD) and fractional anisotropy (FA). Little is known about the impact of whole-brain microstructural alterations after SVD-related ICH. We aimed to investigate: (1) association between whole-brain DTI metrics and functional outcome after ICH; and (2) predictive ability of these metrics compared to the pre-existing ICH score. Methods Sixty-eight patients (38.2% lobar) were retrospectively included. We assessed whole-brain DTI metrics (obtained within 5 days after ICH) in cortical and deep grey matter and white matter. We used univariable logistic regression to assess the associations between DTI and clinical-radiological variables and poor outcome (modified Rankin Scale > 2). We deter- mined the optimal predictive variables (via LASSO estimation) in: model 1 (DTI variables only), model 2 (DTI plus non-DTI variables), model 3 (DTI plus ICH score). Optimism-adjusted C-statistics were calculated for each model and compared (likelihood ratio test) against the ICH score. Results DeepgreymatterMD(OR1.04[95%CI1.01–1.07],p=0.010)andwhitematterMD(OR1.11[95%CI1.01–1.23], p = 0.044) were associated (univariate analysis) with poor outcome. Discrimination values for model 1 (0.67 [95% CI 0.52–0.83]), model 2 (0.71 [95% CI 0.57–0.85) and model 3 (0.66 [95% CI 0.52–0.82]) were all significantly higher than the ICH score (0.62 [95% CI 0.49–0.75]). Conclusion Our exploratory study suggests that whole-brain microstructural disruption measured by DTI is associated with poor 6-month functional outcome after SVD-related ICH. Whole-brain DTI metrics performed better at predicting recovery than the existing ICH score. | en |
dc.format.mimetype | application/pdf | ca |
dc.language.iso | eng | ca |
dc.publisher | Springer Link | ca |
dc.relation.ispartof | Journal of Neurology 270, 2640–2648 (2023). | - |
dc.relation.uri | https://doi.org/10.1007/s00415-023-11592-7 | - |
dc.rights | © The authors, 2023 | - |
dc.subject | intracerebral haemorrhage | en |
dc.subject | outcome prediction | en |
dc.subject | fractional anisotropy | en |
dc.subject | mean diffusivity | en |
dc.subject | ICH score | en |
dc.subject | whole- brain approach | en |
dc.title | Whole-brain diffusion tensor imaging predicts 6-month functional outcome in acute intracerebral haemorrhage | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | https://doi.org/10.1007/s00415-023-11592-7 | - |
dc.gir.id | AR/0000010543 | - |
dc.type.version | info:eu-repo/semantics/acceptedVersion | - |
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Scwarz_Whole_JoN.pdf | 821,96 kB | Adobe PDF | View/Open | |
Scwarz_Whole_JoN_.pdf | 876,77 kB | Adobe PDF | View/Open |
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