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Prediction of clinical outcome in subacute subarachnoid hemorrhage using diffusion tensor imaging

dc.contributor.authorFragata, Isabel
dc.contributor.authorAlves, Marta
dc.contributor.authorPapoila, Ana Luísa
dc.contributor.authorFerreira, Patrícia
dc.contributor.authorNunes, Ana Paiva
dc.contributor.authorMoreira, Nuno Canto
dc.contributor.authorCanhão, Patrícia
dc.date.accessioned2021-01-05T16:24:19Z
dc.date.available2021-01-05T16:24:19Z
dc.date.issued2018
dc.description© AANS 2018, except where prohibited by US copyright law.pt_PT
dc.description.abstractObjective: Clinical outcome in nontraumatic subarachnoid hemorrhage (SAH) is multifactorial and difficult to predict. Diffusion tensor imaging (DTI) findings are a prognostic marker in some diseases such as traumatic brain injury. The authors hypothesized that DTI parameters measured in the subacute phase of SAH can be associated with a poor clinical outcome. Methods: Diffusion tensor imaging was prospectively performed in 54 patients at 8–10 days after nontraumatic SAH. Logistic regression analysis was performed to evaluate the association of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values with a poor clinical outcome (modified Rankin Scale score ≥ 3) at 3 months. Results: At 8–10 days post-SAH, after adjusting for other variables associated with a poor outcome, an increased ADC at the frontal centrum semiovale was associated with a poor prognosis (OR estimate 1.29, 95% CI 1.04–1.60, p = 0.020). Moreover, an increase of 0.1 in the FA value at the corpus callosum at 8–10 days after SAH corresponded to 66% lower odds of having a poor outcome (p = 0.002). Conclusions: Decreased FA and increased ADC values in specific brain regions were independently associated with a poor clinical outcome after SAH. This preliminary exploratory study supports a potential role for DTI in predicting the outcome of SAH.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJournal of Neurosurgery JNS, , 1-9. Retrieved Jan 5, 2021, Published online April 13, 2018pt_PT
dc.identifier.doi10.3171/2017.10.JNS171793pt_PT
dc.identifier.eissn1933-0693
dc.identifier.issn0022-3085
dc.identifier.urihttp://hdl.handle.net/10451/45677
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAmerican Association of Neurological Surgeonspt_PT
dc.relation.publisherversionhttps://thejns.org/pt_PT
dc.subjectSubarachnoid hemorrhagept_PT
dc.subjectDiffusion tensor imagingpt_PT
dc.subjectClinical outcomept_PT
dc.subjectVascular disorderspt_PT
dc.titlePrediction of clinical outcome in subacute subarachnoid hemorrhage using diffusion tensor imagingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJournal of Neurosurgerypt_PT
person.familyNameCanhão
person.givenNamePatrícia
person.identifier.ciencia-id8F12-6A40-BE2E
person.identifier.orcid0000-0003-3816-0416
person.identifier.scopus-author-id6603685711
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione9d5a53f-d0d3-4cc4-9807-879ef76be505
relation.isAuthorOfPublication.latestForDiscoverye9d5a53f-d0d3-4cc4-9807-879ef76be505

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