@article{ref1,
title="Synergistic role of quantitative diffusion magnetic resonance imaging and structural magnetic resonance imaging in predicting outcomes after traumatic brain injury",
journal="Journal of computer assisted tomography",
year="2022",
author="Avesta, Arman and Yendiki, Anastasia and Perlbarg, Vincent and Velly, Lionel and Khalilzadeh, Omid and Puybasset, Louis and Galanaud, Damien and Gupta, Rajiv",
volume="46",
number="2",
pages="236-243",
abstract="OBJECTIVE: This study aimed to assess if quantitative diffusion magnetic resonance imaging analysis would improve prognostication of individual patients with severe traumatic brain injury. <br><br>METHODS: We analyzed images of 30 healthy controls to extract normal fractional anisotropy ranges along 18 white-matter tracts. Then, we analyzed images of 33 patients, compared their fractional anisotropy values with normal ranges extracted from controls, and computed severity of injury to white-matter tracts. We also asked 2 neuroradiologists to rate severity of injury to different brain regions on fluid-attenuated inversion recovery and susceptibility-weighted imaging. Finally, we built 3 models: (1) fed with neuroradiologists' ratings, (2) fed with white-matter injury measures, and (3) fed with both input types. <br><br>RESULTS: The 3 models respectively predicted survival at 1 year with accuracies of 70%, 73%, and 88%. The accuracy with both input types was significantly better (P < 0.05). <br><br>CONCLUSIONS: Quantifying severity of injury to white-matter tracts complements qualitative imaging findings and improves outcome prediction in severe traumatic brain injury.<p /> <p>Language: en</p>",
language="en",
issn="0363-8715",
doi="10.1097/RCT.0000000000001284",
url="http://dx.doi.org/10.1097/RCT.0000000000001284"
}