Return to Work Within Four Months of Grade 3 Diffuse Axonal Injury

2022 ◽  
pp. 194187442110514
Author(s):  
Michael J. Young ◽  
William R. Sanders ◽  
Rose Marujo ◽  
Yelena G. Bodien ◽  
Brian L. Edlow

Neuroprognostication following diffuse axonal injury (DAI) has historically relied on neuroimaging techniques with lower spatial resolution and contrast than techniques currently available in clinical practice. Since the initial studies of DAI classification and prognosis in the 1980s and 1990s, advances in neuroimaging have improved detection of brainstem microbleeds, a hallmark feature of Grade 3 DAI that has traditionally been associated with poor neurologic outcome. Here, we report clinical and radiologic data from two patients with severe traumatic brain injury and grade 3 DAI who recovered functional independence and returned to work within 4 months of injury. Importantly, both patients were scanned using 3 Tesla MRI protocols that included susceptibility-weighted imaging (SWI), a technique that provides enhanced sensitivity for detecting brainstem microbleeds. These observations highlight the importance of developing approaches to DAI classification and prognosis that better align with contemporary neuroimaging capabilities.

2021 ◽  
pp. 197140092110497
Author(s):  
Cedric Bohyn ◽  
Thijs Vande Vyvere ◽  
Frederik De Keyzer ◽  
Diana M Sima ◽  
Philippe Demaerel

Introduction Imaging plays a crucial role in the diagnosis, prognosis and follow-up of traumatic brain injury. Whereas computed tomography plays a pivotal role in the acute setting, magnetic resonance imaging is best suited to detect the true extent of traumatic brain injury, and more specifically diffuse axonal injury. Post-traumatic brain atrophy is a well-known complication of traumatic brain injury. Purpose This study investigated the correlation between diffuse axonal injury detected with fluid-attenuated inversion recovery and susceptibility-weighted imaging magnetic resonance imaging, post-traumatic brain atrophy and functional outcome (Glasgow outcome scale – extended). Materials and methods Twenty patients with a closed head injury and diffuse axonal injury detected with fluid-attenuated inversion recovery and susceptibility-weighted imaging were included. The total volumes of the diffuse axonal injury fluid-attenuated inversion recovery lesions were determined for each subject’s initial (<14 days) and follow-up magnetic resonance scan (average: day 303 ± 83 standard deviation). The different brain volumes were automatically quantified using a validated and both US Food and Drug Administration-cleared and CE-marked machine learning algorithm (icobrain). The number of susceptibility-weighted imaging lesions and functional outcome scores (Glasgow outcome scale – extended) were retrieved from the Collaborative European NeuroTrauma Effectiveness Research Traumatic Brain Injury dataset. Results The volumetric fluid-attenuated inversion recovery diffuse axonal injury lesion load showed a significant inverse correlation with functional outcome (Glasgow outcome scale – extended) ( r = −0.57; P = 0.0094) and white matter volume change ( r = −0.50; P = 0.027). In addition, white matter volume change correlated significantly with the Glasgow outcome scale – extended score ( P = 0.0072; r = 0.58). Moreover, there was a strong inverse correlation between longitudinal fluid-attenuated inversion recovery lesion volume change and whole brain volume change ( r = −0.63; P = 0.0028). No significant correlation existed between the number of diffuse axonal injury susceptibility-weighted imaging lesions, brain atrophy and functional outcome. Conclusions Volumetric analysis of diffuse axonal injury on fluid-attenuated inversion recovery imaging and automated brain atrophy calculation are potentially useful tools in the clinical management and follow-up of traumatic brain injury patients with diffuse axonal injury.


2019 ◽  
Vol 23 (3) ◽  
pp. 525-536 ◽  
Author(s):  
Catharine Vander Linden ◽  
Helena Verhelst ◽  
Eva Genbrugge ◽  
Ellen Deschepper ◽  
Karen Caeyenberghs ◽  
...  

2021 ◽  
Author(s):  
Michael Young ◽  
William Sanders ◽  
Rose Majuro ◽  
Yelena G. Bodien ◽  
Brian Edlow

2011 ◽  
Vol 153 (8) ◽  
pp. 1687-1694 ◽  
Author(s):  
Hidetoshi Matsukawa ◽  
Masaki Shinoda ◽  
Motoharu Fujii ◽  
Osamu Takahashi ◽  
Daisuke Yamamoto ◽  
...  

2018 ◽  
Vol 89 (10) ◽  
pp. A42.1-A42
Author(s):  
Graham Neil SN ◽  
Jolly Amy E ◽  
Bourke Niall J ◽  
Scott Gregory ◽  
Cole James H ◽  
...  

BackgroundDementia rates are elevated after traumatic brain injury (TBI) and a subgroup develops chronic traumatic encephalopathy. Post-traumatic neurodegeneration can be measured by brain atrophy rates derived from neuroimaging, but it is unclear how atrophy relates to the initial pattern of injury.ObjectivesTo investigate the relationship between baseline TBI patterns and subsequent neurodegeneration measured by progressive brain atrophy.Methods55 patients after moderate-severe TBI (mean 3 years post-injury) and 20 controls underwent longitudinal MRI. Brain atrophy was quantified using the Jacobian determinant defined from volumetric T1 scans approximately one year apart. Diffuse axonal injury was measured using diffusion tensor imaging and focal injuries defined from T1 and FLAIR. Neuropsychological assessment was performed.ResultsAbnormal progressive brain atrophy was seen after TBI (~1.8%/year in white matter). This was accompanied by widespread reductions in fractional anisotropy, in keeping with the presence of diffuse axonal injury. There was a strong negative correlation between FA and brain atrophy, whereby areas of greater white matter damage showed greater atrophy over time.ConclusionsThe results show a strong relationship between the location of diffuse axonal injury and subsequent neurodegeneration. This suggests that TBI triggers progressive neurodegeneration through the long-lasting effects of diffuse axonal injury.


2010 ◽  
Vol 3 (2) ◽  
pp. 111
Author(s):  
Hyung Jong Choi ◽  
Jong-Gu Kang ◽  
Seung Ho Ahn ◽  
Suk Hoon Ohn ◽  
Kwang-Ik Jung ◽  
...  

2015 ◽  
Vol 32 (5) ◽  
pp. 359-365 ◽  
Author(s):  
Daddy Mata-Mbemba ◽  
Shunji Mugikura ◽  
Atsuhiro Nakagawa ◽  
Takaki Murata ◽  
Yumiko Kato ◽  
...  

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