TY - JOUR
T1 - Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging
AU - Ledig, Christian
AU - Kamnitsas, Konstantinos
AU - Koikkalainen, Juha
AU - Posti, Jussi P.
AU - Takala, Riikka S.K.
AU - Katila, Ari
AU - Frantzén, Janek
AU - Ala-Seppälä, Henna
AU - Kyllönen, Anna
AU - Maanpää, Henna Riikka
AU - Tallus, Jussi
AU - Lötjönen, Jyrki
AU - Glocker, Ben
AU - Tenovuo, Olli
AU - Rueckert, Daniel
N1 - Publisher Copyright:
© 2017 Ledig et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2017/11
Y1 - 2017/11
N2 - 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%).
AB - 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%).
UR - http://www.scopus.com/inward/record.url?scp=85035793930&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0188152
DO - 10.1371/journal.pone.0188152
M3 - Article
C2 - 29182625
AN - SCOPUS:85035793930
SN - 1932-6203
VL - 12
JO - PLoS ONE
JF - PLoS ONE
IS - 11
M1 - e0188152
ER -