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Volume 89, Issue 12, Supplement, Pages S45-S50 (December 2008)


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Use of Diffusion Tensor Imaging to Examine Subacute White Matter Injury Progression in Moderate to Severe Traumatic Brain Injury

Gahl Greenberg, MDb, David J. Mikulis, MDab, Kevin Ng, MBBS, FRANZCRb, Danielle DeSouza, BSccd, Robin E. Green, PhD, CPsychcdCorresponding Author Informationemail address

Abstract 

Greenberg G, Mikulis DJ, Ng K, DeSouza D, Green RE. Use of diffusion tensor imaging to examine subacute white matter injury progression in moderate to severe traumatic brain injury.

Objective

To demonstrate subacute progression of white matter (WM) injury (4.5mo–2.5y postinjury) in patients with traumatic brain injury using diffusion-tensor imaging.

Design

Prospective, repeated-measures, within-subjects design.

Setting

Inpatient neurorehabilitation program and teaching hospital MRI department.

Participants

Brain-injured adults (N=13) with a mean Glasgow Coma Scale score of 7.67±4.16.

Interventions

Not applicable.

Main Outcome Measures

Fractional anisotropy (FA) values were measured at 4.5 and 29 months postinjury in right and left frontal and temporal deep WM tracts and the anterior and posterior corpus callosum.

Results

FA significantly decreased in frontal and temporal tracts: right frontal (.38±.06 to .30±.06; P<.005), left frontal (.37±.06 to .32±.06; P<.05), right temporal (.28±.05 to .22±.018; P<.005), and left temporal (.28±.05 to .24±.02; P<.05). No significant changes were in the corpus callosum.

Conclusions

Preliminary results demonstrate progression of WM damage as evidenced by interval changes in diffusion anisotropy. Future research should examine the relationship between decreased FA and long-term clinical outcome.

Article Outline

Abstract

Methods

Participants

Design and Procedures

Magnetic Resonance Imaging Acquisition

Diffusion-Tensor Imaging Processing and Region of Interest Measurements

Results

Discussion

Conclusions

Acknowledgment

References

Copyright

TRAUMATIC BRAIN INJURY refers to an injury caused by externally inflicted trauma to the brain and can result in significant cognitive, motor, and psychosocial impairments.1, 2, 3, 4 A large proportion of patients with moderate and severe TBI are young adults5; consequently, these patients often face decades of disability, with associated emotional, social, and financial difficulties.6 This chronic period of disability has received only limited scientific attention, particularly with respect to neuroimaging research. Clinically, it is generally assumed that ongoing disability is attributable to the residual deficits from the original injury; however, recent findings suggest that some degree of neurological deterioration may occur after the initial acute injuries have resolved.7, 8, 9, 10, 11, 12 Chronic disability could be caused by a combination of acute injury and chronic progressive damage.

Recovery from TBI has been widely studied with the general finding that recovery is asymptotic. Maximal behavioral recovery occurs during the early months postinjury followed by a plateau at approximately 6 to 18 months post-TBI,13, 14 with plateau variations largely attributable to differences in outcome measures15 and other methodologic differences across studies.16, 17 Recent findings have suggested, however, that behavioral recovery curves may be characterized— for some patients in some areas of functioning—by a more parabolic shape, with a decline in cognitive status after initial recovery.8, 10, 12 There is neurophysiologic evidence of this long-term decline from neuropathologic investigations in animals7, 9 and neuroimaging studies in humans; the latter studies have employed both volumetric MRI measurements11, 15, 18 as well as visual inspection of lesions by experts.11

Much of the neurophysiologic evidence to date is equivocal, however. Many of the observed changes over time may be attributable to the resolution of early acute effects of the primary injury. In most studies, the baseline (comparator) scan was undertaken early post-TBI, when acute changes were resolving (eg, reduction of inflammatory cells, edema, and hyperemia; involution of hematoma). In some studies, both the first and the second scan were conducted during the acute phase19, 20, 21, 22; in others, the second scan was conducted in the chronic phase,23, 24 but the first was carried out during the acute phase. Therefore, with the exception of the study in this issue by Ng et al,11 it is unclear whether the interval change in these studies was attributable to atrophy or rather to the full, neuroradiologic manifestations of the original injury.

Previous human neuroimaging studies that have examined the question of progression of atrophy have employed conventional MRI techniques such as proton, T2-weighted, and SPGR imaging. To date, there are no studies that have used DTI. However, this technique is highly sensitive to the neuropathology of TBI, more so than conventional imaging,19, 25, 26, 27 and therefore represents a valuable tool for examining this question.

DTI is a relatively recent development in MRI technology. It is an ideal tool for investigating progression of atrophy in TBI because of its sensitivity to abnormalities in the microstructure of WM (eg, Naganawa et al21), which is extensively disrupted after TBI,28, 29 and because correlations have been observed between DTI and TBI outcome.23, 30 DAI lesions are frequently microscopic and often underestimated by conventional MRI and typically invisible on CT19, 22, 31 compared with DTI. In 1 study, Huisman et al19 found that approximately 16% of DAI lesions were identifiable exclusively by DTI compared with conventional MRI (T2/FLAIR and T2-weighted gradient echo sequences).

In general, DTI works by incorporating pulsed magnetic field gradients into a standard MRI sequence that characterizes the local diffusivity of water.31 In healthy WM, there is greater diffusion along the long axis of axonal bundles than along the radial axis because of hindrance from the myelin sheath.22, 32 Two key measures associated with water diffusion are diffusivity, the magnitude of diffusion; and anisotropy, the directionality of water diffusion.32 DTI data can be used to generate images of FA,22 an index comparing the preferred direction of water diffusion with its orthogonal component. Accordingly, a decreased FA value has been shown to be largely the result of selected increases in diffusion along the radial axis of axonal bundles. FA is sensitive to changes in WM integrity33, 34 and provides pertinent information regarding the degree of WM damage including factors such as myelin sheath thickness and axonal membrane integrity.22, 35 Given that WM damage is a predominant feature of TBI, it is not surprising that a number of studies have demonstrated decreases in FA values in severe TBI.21, 22, 24, 27, 32

The aim of the current study was to determine whether there is evidence of increasing WM injury after moderate and severe TBI using DTI-derived FA values. This is based on previous findings from our group that showed robust progression of atrophy, often adjacent to the site of original lesions. Thus, based on the findings by Ng et al,11 we predicted significant declines in FA values in the selected ROIs, which were selected for the high probability of damage from the initial injury. Six preselected ROIs were examined. These include frontal and temporal deep WM tracts, and the anterior and posterior regions of the corpus callosum. These regions were selected because previous studies have identified them as particularly susceptible to WM injury after TBI.21, 22, 25, 27, 32, 36, 37, 38, 39 Thirteen patients underwent neuroimaging at 2 time points: the first was undertaken at 4.5 months postinjury, after resolution of acute injury; and the second was completed at 2.5 years postinjury. ROI maps were generated at both time points, and the change in FA values was compared within subjects for each ROI.

Methods 

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Participants 

The study protocol was approved by the research ethics board at the Toronto Rehabilitation Institute, and the procedures of the study were in accordance with the standards of the research ethics board.

Thirteen adult patients (10 men, 3 women) with TBI were enrolled in the study. As indicated in table 1, this group was in the severely impaired range, had a high school education, was of average estimated premorbid intelligence, and had the expected high male to female ratio. All patients had been admitted to the Inpatient Neurorehabilitation Program of the Toronto Rehabilitation Institute, a large, urban inpatient hospital, between 2004 and 2007. They were recruited from a larger, ongoing prospective study of cognitive and motor recovery from TBI.

Table 1.

Demographic and Injury Data of Participants Included in the Study as Well as Those Lost to Follow-Up

SexAgeInjuryGlasgow Coma Scale (Lowest)Estimated PTA (wk)SESAcute Length of StayYears of EducationEstimated Premorbid Intelligence Quotient
Participants (N=13)
1Female24MVC (ped)3>24248NA
2Male58MVC13>0.543312NA
3Male41MVC13>0.5335978
4Female52MVC (ped)130.5312113
5Male21MVC834179NA
6Male22Fall42229985
7Male42Fall (bike)5142417119
8Male20MVC5>12171380
9Male32Fall13>12371683
10Male42MVC3>34451199
11Male19MVC1.24149103
12Male31MVC64–62531697
13Female44Fall (bike)6NA22416120
Mean:(totals)(10 males/3 females)34.46(9 MVC, 4 fall)7.67 3.0829.3312.0797.70
Lost to follow-up (n=5)
1Male49Sport, fall13113821123
2Male36MVC, Fall112421981
3Male41MVC6123715108
4Male20Fall3>1.524912108
5Female43MVC3NA 13108
Mean:(totals)(4 males/1 female)37.8(3 MVC, 2 fall)7.2 2.2536.2514.0105.6

Abbreviations: GCS, Glasgow Coma Scale; IQ, intelligence quotient; LOS, length of stay; MVC, motor vehicle collision; NA, not applicable; ped, pedestrian; SES, socioeconomic status, as measured by the Hollingshead48 classification: 1 (major business/professional); 2 (medium business/minor professional, technical); 3 (skilled craftsperson, clerical, sales worker); 4 (machine operator, semiskilled worker); 5 (unskilled laborer, menial service worker).

Patients were eligible for the larger study if they met the following criteria: (1) acute care diagnosis of TBI, (2) PTA 1 hour or more and/or Glasgow Coma Scale of 12 or less either at the emergency department or the scene of accident and/or positive acute care CT or MRI findings, (3) age between 18 and 80 years, (4) able to follow simple commands in English, and (5) competency to provide informed consent for study or availability of legal decision-maker. Exclusion criteria were (1) orthopedic injury affecting both upper extremities and/or both lower extremities, (2) diseases primarily or frequently affecting the central nervous system, (3) history of psychotic disorder, (4) not emerged from PTA by 6 weeks postinjury, (5) TBI secondary to other brain injury (eg, a fall because of stroke), and (6) metal implants precluding MRI.

To be eligible for the current study, participants needed additionally to have completed the 4.5-month MRI, to have reached the long-term follow-up stage, and to have not developed further neurological complications (eg, subsequent brain injury, hydrocephalus). There were 18 eligible patients. Four patients were unreachable by telephone or mail; 1 had compromised MRI acquisition data. Thus, 13 patients participated in the current study, representing a retention rate of 72%. (Note that this sample of patients, minus 1, was also tested in the study by Ng11). As shown in table 1, those participating were highly similar to those lost to follow-up, with the possible exception of estimated premorbid intelligence quotient, for which the mean was more than 4 points higher in the latter group. This was attributable to 1 patient with 21 years of education, however.

Design and Procedures 

Baseline MRI was performed at a mean ± SD of 4.5±.40 months postinjury. Follow-up MRI was conducted at a mean ± SD of 29.3±4.0 months postinjury.

Magnetic Resonance Imaging Acquisition 

All patients were scanned on a GE 1.5-Tesla HD MRI systema using a series of conventional sequences. These included sagittal T1, axial gradient-recalled echo, axial FLAIR, axial proton density/T2, and axial 3D fast spoiled gradient-echo. DTI parameters were echo time 1 equals minimum, repetition time equals 8300, field of view equals 30 cm, frequency equals 128, phase equals 128, number of excitations equals 1, 30 contiguous sections, 5-mm section thickness, and diffusion gradients set in 25 directions.

Diffusion-Tensor Imaging Processing and Region of Interest Measurements 

All images were processed on a GE Advantage Workstation 4.2_06a using the Functool software 3.1.22.a Corrections were made to remove echo-planar imaging distortions from the raw images. For each patient, 6 preselected ROIs were examined including the anterior corpus callosum (including genu), posterior corpus callosum (including splenium), deep frontal WM of anterior frontal lobes (deep frontal WM), and deep temporal WM bilaterally. An ROI in the range of 32 to 34mm2 was manually copied and pasted to each region using the reference voxel grid generated by the software ensuring symmetry. ROI mapping was carried out as follows: for the anterior corpus callosum, the genu of the corpus callosum was centered in the axial plane; for the posterior corpus callosum, the splenium of the corpus callosum was centered in the axial plane; for deep frontal WM, a slice contained the corpus callosum and the ROI was centered in WM diagonal to the tip of anterior horn of the lateral ventricle; for deep temporal WM, the slice contained the temporal horns, and the ROI was centered anterior to the cap of the temporal horn (fig 1).


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Fig 1. T2-weighted images with overlying grid from Functool software, showing the ROI selection. Abbreviations: ACC, anterior corpus callosum; DF, deep frontal white matter; DT, deep temporal white matter; PCC, posterior corpus callosum.


Results 

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Paired, 1-tailed t tests were used to compare the initial and follow-up scans. A Bonferroni-Holm adjustment was applied to the 6 comparisons, giving an initial Bonferroni significance level of P equal to .008 (all 6 comparisons) and a final Bonferroni-Holm adjusted significance of P equal to .013. This revealed no significant differences in the corpus callosum (t12=1.00, NS [anterior corpus callosum]; t12=–.02, NS [posterior corpus callosum]). Findings from the frontal and temporal lobes, presented in figure 2, were significant. For the frontal lobes, mean FA values at time 1 and time 2 for the right hemisphere were, respectively, .38±.06 and .30±.06, with a significantly smaller FA at time point 2 (t12=3.21, P<.005). For the left hemisphere, means ± SDs were .37±.06 and .32±.06 across the 2 time points, and were significantly different (t12=2.67, P<.013). For deep temporal lobe WM, mean FA values ± SDs at time 1 and time 2 for the right hemisphere were .28±.05 and .22±.02, respectively (t12=3.62, P<.005). For the left hemisphere, the means ± SDs were .28±.05 and .24±.02 (t12=2.68, P<.013).


View full-size image.

Fig 2. Box plot diagrams showing FA reduction in right and left frontal lobes (A, B) and right and left temporal lobes (C, D), respectively. Mean, first to third quartiles and minimum and maximum scores are indicated. For each pair of box plots, the left box plot contains values from the 4.5 month postinjury scan; the right box plot contains 2.5 year postinjury scan values. FA values, presented on the Y axis, range from .2 to .5 (A, B); .15 to .4 (C), and .15 to .45 (D).


Discussion 

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Because of its unique sensitivity to DAI,19, 27, 40, 41 we employed DTI to examine fiber tract changes during subacute and chronic TBI.

Analysis of ROIs at follow-up DTI (≈29mo months postinjury) showed that FA had significantly decreased in the frontal and temporal lobes bilaterally. These abnormalities are concordant with a small number of previous reports7, 9, 11, 15, 18 and are likely to reflect demyelination, edema, and persistent axonal injury as described in a mouse model.42 Progression of injury was not observed in the corpus callosum, either anteriorly or posteriorly, although previous studies that investigated injured subjects at a single point of time after TBI, such as Nakayama et al,38 have shown decrease in callosal FA compared with healthy subjects. MacDonald et al42 suggest that DTI signals at the contusion site are affected by pericontusional wallerian degeneration secondary to cell loss, as depicted in their mouse model. According to their study, this is a result of axonal injury at acute time points and primarily demyelination and edema at subacute time points. The underlying cause of the decreased FA may represent apoptosis, and indeed, several studies have shown that neurons are affected by apoptotic pathways after TBI.43 The neuronal apoptosis was described in both postmortem and in vivo studies,44, 45, 46 and Cernak et al47 have demonstrated diffusion signal changes in areas of apoptosis in their rat model.

To date, only 1 previous human study examining progression of atrophy in humans (this issue) has examined patients prospectively, within subjects, and solely after the acute period has resolved.11 Thus, this is the second study to offer strong evidence of atrophy unconfounded by the effects of acute injury.

This is the first study published to date to use DTI to examine the question of progression of WM damage during the subacute period. There are only 2 previous longitudinal studies21, 37 that have employed DTI in TBI; however, neither of them was designed to address the question of progression of injury, and neither conducted all assessments after the acute injury period. In 1 study,21 a single case design, the subject was scanned 3 times, but within 2 months of injury. In the second study,37 there was a long-term follow up at 18 months postinjury, but the first scan was done at 6 days postinjury; here, FA improved over time.

Conclusions 

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Our results show that interval decline in diffusion anisotropy in frontal and temporal lobes was present in a group of patients with moderate-severe, subacute TBI. The location of this progression is concordant with increasing frontotemporal atrophy observed in our previous study that also included these patients.11 It is of interest, however, that the corpus callosum, another frequently affected area, did not show progression of WM damage. Further research is needed on a larger sample to replicate this pattern of findings. It remains to be determined how these measurements correlate with clinical outcome in larger populations.

Supplier

Acknowledgments 

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The authors acknowledge the support of Toronto Rehabilitation Institute who receives funding under the Provincial Rehabilitation Research Program from the Ministry of Health and Long-Term Care in Ontario. The views expressed do not necessarily reflect those of the Ministry.

We thank Kadeen Johns, BSc, for her help in the preparation of the manuscript. We acknowledge Brenda Colella, MA, for her clinical assessment of the patients included in this study.

References 

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a Research Institute, Division of Brain Imaging and Behaviour Systems, University Health Network, Toronto Western Division, Toronto, ON, Canada

b Department of Medical Imaging, Division of Neuroradiology, University Health Network, Toronto, ON, Canada

c Toronto Rehabilitation Institute, Toronto, ON, Canada

d Graduate Department of Rehabilitation Sciences, University of Toronto, Toronto, ON, Canada

Corresponding Author InformationReprint requests to Robin Green, PhD, CPsych, Toronto Rehabilitation Institute, 550 University Ave, Toronto, ON, M5G 2A2, Canada

 Supported by the Canadian Institutes of Health Research, the Physicians' Services Incorporated, and the Ontario Mental Health Foundation (grant nos. MOP-67072, 05-50, 2005-ABI-392).

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.

a GE Medical Systems Information Technologies, 8200 W Tower Ave, Milwaukee, WI 53223.

PII: S0003-9993(08)01407-X

doi:10.1016/j.apmr.2008.08.211


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