Original contributionMR imaging findings in mild traumatic brain injury with persistent neurological impairment
Introduction
Traumatic brain injury (TBI) is responsible for an alarming number of deaths and neurologic disability each year, affecting > 3.5 million people worldwide [1], [2]. > 75% of total TBI cases are mild, and while 80–90% will make a favorable recovery, the remaining 10–20% [3], [4], defined by Ruff et al. [5] as the “miserable minority,” continue to experience persistent cognitive, behavioral or neurological symptoms 6–12 months post trauma. Some symptoms are nonspecific (e.g., anxiety, fatigue, loss of concentration, dizziness, irritability), making it hard to differentiate from other etiologies. Persistence of neurologic impairment may impair quality of life and prevent return to work, leading to lost-wage claims and medical and disability costs [6].
The presence of litigation in cases with incomplete recovery has been associated with greater anxiety, depression, social dysfunction and poorer outcomes in mild TBI (mTBI), suggesting to some the pursuit of monetary compensation may affect the subjective expression of symptoms following mTBI [7]. However, a few studies show an association between imaging findings and post-concussive symptoms. A study looking at depressed mood after concussion found that depression severity correlated with reduced activation in brain areas implicated in major depression, with computerized volume measurements showing gray matter volume loss in these same regions [8]. Liu et al. looked at residual iron deposition as a marker of prior hemorrhaging and found a higher rate of microhemorrhages in patients with persistent post-concussive symptoms compared with those who recovered completely after injury [9]. Wang et al. found that microhemorrhages in the frontal, parietal or temporal lobes predicted presence of depression one year following trauma [10]. These studies suggest imaging may provide a framework to explain residual symptoms and neurologic deficits.
Computed tomography (CT) is used in acute settings to determine the need for surgical intervention. Conventional MRI, however, is known to be superior to CT for the detection of non-hemorrhagic pathology in the brain parenchyma [11], [12]. Gradient echo MRI is more sensitive than conventional MRI in detecting the presence of iron in hemosiderin, which remains after hemorrhaging. Susceptibility-weighted imaging (SWI), which combines both phase and magnitude images, has been shown to be about three times more sensitive than gradient echo MRI. Furthermore, SWI findings have been found to correlate with clinical symptoms and outcome [13], [14].
Fluid-Attenuated Inversion Recovery (FLAIR) is superior to T2-weighted imaging (T2) for detecting traumatic axonal injury [15], [16], [17]. By attenuating the cerebrospinal fluid (CSF) signal, FLAIR allows for better cortical and periventricular lesion detection. Koelfen et al. [18] looked at children one-year post mTBI and found abnormalities in 43% of cases, while Datta et al. [19] showed FLAIR findings in 55% of chronic mTBI cases, and Riedy et al. [20] found findings in 51% of mostly mild blast TBI cases. One issue with FLAIR and T2 is the difficulty distinguishing between trauma-related hyperintensities and hyperintensities associated with aging and microvascular disease. Therefore, young TBI patients would likely be a better population for determination of true sensitivity to trauma, while also providing information regarding the anatomical location and morphology of trauma-related hyperintensities.
The current study addresses the rates and types of trauma-related pathology revealed by FLAIR and SWI in a cohort of mostly mTBI patients who were in litigation at the time of the study. We hypothesize: 1) MR findings generally will increase with clinical severity; 2) SWI will detect microhemorrhages, even in mTBI; 3) lesion detection rates on FLAIR will be higher than SWI, and 4) FLAIR will reveal a propensity for hyperintense lesions in the subcortical white matter at or just deep to the gray-white junction.
Section snippets
Materials and methods
This is a retrospective, case-control study of head trauma patients referred for forensic evaluation. The study was approved by an institutional review board. Subjects were excluded if they: were under 14 years of age; failed MRI screening; had a non-traumatic injury mechanism (e.g., hypoxic, ischemic, intoxication); had a known additional disorder of the central nervous system (e.g., multiple sclerosis, Alzheimer's, Parkinson's); or had a psychotic disorder or refractory affective disorder
Results
Mechanism of injury (Table 2): The majority of injuries (73%) were transportation-related, including motor vehicle accidents (MVA), MVA vs. pedestrian or motorcycle accidents. The remainder consisted of either blunt force, falls, sports related, blast or assault. Males had more blast, sports-related injury and assaults than females.
Comorbidities: For the 180 TBI patients, comorbid medical conditions may have included: hypertension, hypothyroidism, hyperlipidemia, diabetes, sleep apnea and
Discussion
The majority of TBI subjects included in this study (83%) were mild. This is a consequence of a greater proportion of mTBI patients referred for a comprehensive neurobehavioral evaluation in the context of litigation [29]. The cognitive, emotional/behavioral and somatic symptoms that persist beyond the typical recovery time (e.g., one year) can be rooted in causes other than parenchymal brain injury, including side effects of medications, chronic pain, depression, post-traumatic stress
Conclusions
Chronic TBI subjects with persistent symptoms have an increased number of trauma-related imaging findings compared with controls. While FLAIR was most sensitive for the mTBI group, SWI showed a similar detection rate to FLAIR as clinical severity increased. The combined use of FLAIR and SWI revealed presumed trauma-related findings in 52% of all mTBI subjects. Subcortical hyperintensities and cerebral microhemorrhages were the most frequent imaging findings seen in the mTBI group relative to
Author disclosure
No competing financial interests exist.
Acknowledgments
The authors thank Dr. Naftali Raz, who shared data on 50 control participants (acquired under NIH grant R37 AG011230), and Dr. Darren Fuerst for assistance with statistical analysis. Portions of this paper were presented at the WSU 75th Anniversary Symposium, August 2014, and at the International Society for Magnetic Resonance in Medicine, May 2014.
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