dc.date.accessioned | 2018-03-14T08:22:56Z | |
dc.date.available | 2018-03-14T08:22:56Z | |
dc.date.created | 2017-04-29T20:17:16Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Hellstrøm, Torgeir Kaufmann, Tobias Andelic, Nada Søberg, Helene L. Sigurdardottir, Solrun Helseth, Eirik Andreassen, Ole Andreas Westlye, Lars Tjelta . Predicting outcome 12 months after mild traumatic brain injury in patients admitted to a neurosurgery service. Frontiers in Neurology. 2017, 8:125, 1-12 | |
dc.identifier.uri | http://hdl.handle.net/10852/60982 | |
dc.description.abstract | Objective: Accurate outcome prediction models for patients with mild traumatic brain injury (MTBI) are key for prognostic assessment and clinical decision-making. Using multivariate machine learning, we tested the unique and added predictive value of (1) magnetic resonance imaging (MRI)-based brain morphometric and volumetric characterization at 4-week postinjury and (2) demographic, preinjury, injury-related, and postinjury variables on 12-month outcomes, including global functioning level, postconcussion symptoms, and mental health in patients with MTBI.
Methods: A prospective, cohort study of patients (n = 147) aged 16–65 years with a 12-month follow-up. T1-weighted 3 T MRI data were processed in FreeSurfer, yielding accurate cortical reconstructions for surface-based analyses of cortical thickness, area, and volume, and brain segmentation for subcortical and global brain volumes. The 12-month outcome was defined as a composite score using a principal component analysis including the Glasgow Outcome Scale Extended, Rivermead Postconcussion Questionnaire, and Patient Health Questionnaire-9. Using leave-one-out cross-validation and permutation testing, we tested and compared three prediction models: (1) MRI model, (2) clinical model, and (3) MRI and clinical combined.
Results: We found a strong correlation between observed and predicted outcomes for the clinical model (r = 0.55, p < 0.001). The MRI model performed at the chance level (r = 0.03, p = 0.80) and the combined model (r = 0.45, p < 0.002) were slightly weaker than the clinical model. Univariate correlation analyses revealed the strongest association with outcome for postinjury factors of posttraumatic stress (Posttraumatic Symptom Scale-10, r = 0.61), psychological distress (Hospital Anxiety and Depression Scale, r = 0.52), and widespread pain (r = 0.43) assessed at 8 weeks.
Conclusion: We found no added predictive value of MRI-based measures of brain cortical morphometry and subcortical volumes over and above demographic and clinical features. | en_US |
dc.language | EN | |
dc.language.iso | en | en_US |
dc.publisher | Frontiers Research Foundation | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Predicting outcome 12 months after mild traumatic brain injury in patients admitted to a neurosurgery service | en_US |
dc.type | Journal article | en_US |
dc.creator.author | Hellstrøm, Torgeir | |
dc.creator.author | Kaufmann, Tobias | |
dc.creator.author | Andelic, Nada | |
dc.creator.author | Søberg, Helene L. | |
dc.creator.author | Sigurdardottir, Solrun | |
dc.creator.author | Helseth, Eirik | |
dc.creator.author | Andreassen, Ole Andreas | |
dc.creator.author | Westlye, Lars Tjelta | |
cristin.unitcode | 185,53,42,0 | |
cristin.unitname | Nevroklinikken | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.fulltext | postprint | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 1467388 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers in Neurology&rft.volume=8:125&rft.spage=1&rft.date=2017 | |
dc.identifier.jtitle | Frontiers in Neurology | |
dc.identifier.volume | 8 | |
dc.identifier.startpage | 1 | |
dc.identifier.endpage | 12 | |
dc.identifier.doi | http://dx.doi.org/10.3389/fneur.2017.00125 | |
dc.identifier.urn | URN:NBN:no-63607 | |
dc.type.document | Tidsskriftartikkel | en_US |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 1664-2295 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/60982/6/fneur-08-00125.pdf | |
dc.type.version | PublishedVersion | |
cristin.articleid | 125 | |