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Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.
Ledig, Christian; Kamnitsas, Konstantinos; Koikkalainen, Juha; Posti, Jussi P; Takala, Riikka S K; Katila, Ari; Frantzén, Janek; Ala-Seppälä, Henna; Kyllönen, Anna; Maanpää, Henna-Riikka; Tallus, Jussi; Lötjönen, Jyrki; Glocker, Ben; Tenovuo, Olli; Rueckert, Daniel.
Afiliação
  • Ledig C; Imperial College London, Department of Computing, London, United Kingdom.
  • Kamnitsas K; Imperial College London, Department of Computing, London, United Kingdom.
  • Koikkalainen J; Combinostics, Tampere, Finland.
  • Posti JP; VTT Technical Research Centre of Finland, Tampere, Finland.
  • Takala RSK; Department of Clinical Medicine, University of Turku, Turku, Finland.
  • Katila A; Division of Clinical Neurosciences, Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.
  • Frantzén J; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland.
  • Ala-Seppälä H; Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland.
  • Kyllönen A; Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland.
  • Maanpää HR; Department of Clinical Medicine, University of Turku, Turku, Finland.
  • Tallus J; Division of Clinical Neurosciences, Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.
  • Lötjönen J; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland.
  • Glocker B; Department of Clinical Medicine, University of Turku, Turku, Finland.
  • Tenovuo O; Department of Clinical Medicine, University of Turku, Turku, Finland.
  • Rueckert D; Department of Clinical Medicine, University of Turku, Turku, Finland.
PLoS One ; 12(11): e0188152, 2017.
Article em En | MEDLINE | ID: mdl-29182625
ABSTRACT
Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Lesões Encefálicas Traumáticas Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Lesões Encefálicas Traumáticas Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article