A decade of DTI in traumatic brain injury: 10 years and 100 articles later.
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ABSTRACT: Summary
The past decade has seen an increase in the number of articles reporting the use of DTI to detect brain abnormalities in patients with traumatic brain injury. DTI is well-suited to the interrogation of white matter microstructure, the most important location of pathology in TBI. Additionally, studies in animal models have demonstrated the correlation of DTI findings and TBI pathology. One hundred articles met the inclusion criteria for this quantitative literature review. Despite significant variability in sample characteristics, technical aspects of imaging, and analysis approaches, the consensus is that DTI effectively differentiates patients with TBI and controls, regardless of the severity and timeframe following injury. Furthermore, many have established a relationship between DTI measures and TBI outcomes. However, the heterogeneity of specific outcome measures used limits interpretation of the literature. Similarly, few longitudinal studies have been performed, limiting inferences regarding the long-term predictive utility of DTI. Larger longitudinal studies, using standardized imaging, analysis approaches, and outcome measures will help realize the promise of DTI as a prognostic tool in the care of patients with TBI.
SUBMITTER: Hulkower MB
PROVIDER: S-EPMC7964847 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background and objectivesA recent meta-analysis found that about 30% of women with a previous preeclamptic pregnancy had persistent microalbuminuria at follow-up. The analysis was, however, based on small studies, and more data are needed.Design, setting, participants, & measurementsUsing data from the Medical Birth Registry in Norway, this study identified women with or without preeclampsia in their first pregnancy 9-11 years previously (1998-2000). Women with diabetes, rheumatic disease, essential hypertension, or renal disease before first pregnancy and/or preeclampsia in later pregnancies were excluded. Eighty-nine women with and 69 women without preeclampsia participated in the study. Urinary albumin-to-creatinine ratio (ACR) was measured in three morning urine samples. Estimated GFR (eGFR) was calculated using the CKD-Epidemiology Collaboration formula.ResultsMedian urinary ACR in follow-up urine samples was 0.53 mg/mmol for women with and 0.50 mg/mmol for women without preeclampsia (P=0.54). Only one woman (1%) with previous preeclampsia had urinary ACR >2.5 mg/mmol in two of three urine samples. Preeclampsia was not associated with urinary ACR above the 75th percentile. Women with preeclampsia did not have significantly higher eGFR than women without preeclampsia (107.9 versus 104.9 ml/min per 1.73 m(2); P=0.12), but preterm preeclampsia was significantly associated with eGFR above the 75th percentile (P=0.03).ConclusionsIn this population-based study of otherwise healthy women, preeclampsia 10 years earlier was not associated with increased risk of persisting microalbuminuria. Estimated GFR was not significantly different between women with and those without preeclampsia, but preterm preeclampsia was associated with high normal eGFR.
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Project description:ObjectiveTo evaluate brai structural connectivity in children with traumatic injury (TI) following a motor vehicle accident using graph theory analysis of DTI tractography data.MethodsDTI scans were acquired on a 3 T Philips scanner from children aged 8-15 years approximately 2 months post-injury. The TI group consisted of children with traumatic brain injury (TBI; n = 44) or extracranial injury (EI; n = 23). Healthy control children (n = 36) were included as an age-matched comparison group. A graph theory approach was applied to DTI tractography data to investigate injury-related differences in connectivity network characteristics. Group differences in structural connectivity evidenced by graph metrics including efficiency, strength, and modularity were assessed using the multi-threshold permutation correction (MTPC) and network-based statistic (NBS) methods.ResultsAt the global network level, global efficiency and mean network strength were lower, and modularity was higher, in the TBI than in the control group. Similarly, strength was lower and modularity higher when comparing the EI to the control group. At the vertex level, nodal efficiency, vertex strength, and average shortest path length were different between all pairwise comparisons of the three groups. Both nodal efficiency and vertex strength were higher in the control than in the EI group, which in turn were higher than in the TBI group. The opposite between-group relationships were seen with path length. These between-group differences were distributed throughout the brain, in both hemispheres. NBS analysis resulted in a cluster of 22 regions and 21 edges with significantly lower connectivity in the TBI group compared to controls. This cluster predominantly involves the frontal lobe and subcortical gray matter structures in both hemispheres.ConclusionsGraph theory analysis of DTI tractography showed diffuse differences in structural brain network connectivity in children 2 months post-TI. Network differences were consistent with lower network integration and higher segregation in the injured groups compared to healthy controls. Findings suggest that inclusion of trauma-exposed comparison groups in studies of TBI outcome is warranted to better characterize the indirect effect of stress on brain networks.
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Project description:Neuroimaging biomarkers that can detect white matter (WM) pathology after mild traumatic brain injury (mTBI) and predict long-term outcome are needed to improve care and develop therapies. We used diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to investigate WM microstructure cross-sectionally and longitudinally after mTBI and correlate these with neuropsychological performance. Cross-sectionally, early decreases of fractional anisotropy and increases of mean diffusivity corresponded to WM regions with elevated free water fraction on NODDI. This elevated free water was more extensive in the patient subgroup reporting more early postconcussive symptoms. The longer-term longitudinal WM changes consisted of declining neurite density on NODDI, suggesting axonal degeneration from diffuse axonal injury for which NODDI is more sensitive than DTI. Therefore, NODDI is a more sensitive and specific biomarker than DTI for WM microstructural changes due to mTBI that merits further study for mTBI diagnosis, prognosis, and treatment monitoring.
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