Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

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 potentia...

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Bibliographic Details
Published in:PloS one 2017-11, Vol.12 (11), p.e0188152-e0188152
Main Authors: 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
Format: Article
Language:English
Subjects:
Amygdala
Asymmetry
Atrophy
Biology and Life Sciences
Brain
Brain injuries
Brain research
Chronic illnesses
Clinical medicine
Ethics
Head injuries
Health aspects
Hospitals
Image acquisition
Image processing
Image segmentation
Intensive care
Magnetic resonance
Magnetic resonance imaging
Medicine
Medicine and Health Sciences
Morphometrics (Biology)
Morphometry
Neural networks
Neuroimaging
Neurosciences
Neurosurgery
NMR
Nuclear magnetic resonance
Pain management
Patients
Physiological aspects
Research and Analysis Methods
Researchers
Resonance
Segmentation
Studies
Substantia alba
Traumatic brain injury
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Description
Summary: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%).
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0188152