Abstract
Study Design
Single-center prospective longitudinal study
Objective
To study the 1) temporal development of muscle fatty infiltrates (MFI) in the cervical multifidii following whiplash, 2) differences in multifidii MFI between those who recover or report milder pain related disability from those who report moderate/severe symptoms at 3 months, and 3) predictive value of multifidii MFI outcomes.
Summary of Background Data
The temporal development of MFI on conventional MRI has been shown to be associated with specific aspects of pain and psychological factors. The replication of such findings has yet to be explored longitudinally.
Methods
36 subjects with whiplash injury were enrolled at < 1-week post-injury and classified at 3-months using percentage scores on the Neck Disability Index as recovered/mild (0–28%) or severe (≥ 30%). A fat/water MRI measure, patient self-report of pain related disability and post-traumatic stress were collected at <1-week, 2-weeks and 3-months post-injury. The effects of time and group (per NDI) and the interaction of time by group on MFI were determined. Receiver operating characteristic curve (ROC) analysis was used to determine a cut-point for MFI at 2 weeks to predict outcome at 3 months.
Results
There was no difference in MFI across groups at enrolment. MFI values were significantly higher in the severe group when compared to the recovered/mild group at 2-weeks and 3-months.The ROC analysis indicated that MFI levels of 20.5% or above resulted in a sensitivity of 87.5% and a specificity of 92.9% for predicting outcome at 3 months.
Conclusions
Consistent with previous evidence, muscle degeneration occurs soon after injury but only in those patients with poor functional recovery. This study provides further evidence that 1) multifidii MFI occurs in tandem with known predictive risk factors (older age, pain-related disability, and post-traumatic stress) and that 2) routine imaging protocols may need to be reconsidered in the vast majority of patients following whiplash.
Keywords: MRI, Cervical, Muscle, fat, whiplash, post-traumatic stress, pain, Recovery
INTRODUCTION
Whiplash-Associated Disorders (WAD) from motor vehicle collisions (MVCs) afflict over 4-million Americans annually, reducing quality of life and accounting for an estimated $30 billion in medical costs.1 Half of all those exposed to a MVC will never fully recover but have milder symptoms,2 and 25% (~ 1 million) are expected to present with a complex clinical picture including severe-pain-related disability,3 muscle degeneration,4, 5 sensory and motor disturbances,6 muscle weakness,7 and psychological distress.6 A number of psychosocial factors (e.g., coping, expectations, anxiety and depression) have been identified as being associated with poor functional recovery.2 Despite the presence of and recognition for these factors, current best multimodal treatments have not substantially influenced the rate of functional recovery.8–10 Furthermore, no structural cause of WAD has been found with available imaging technology, supporting the position that the clinical course is driven by both medical and non-medical-related factors.11
Despite the lack of pathological findings, a recent prospective investigation using conventional T1-weighted magnetic resonance imaging (MRI) uniquely identified neck muscle fatty infiltrates (MFI) between one- and three-months post injury in participants with more severe levels of WAD-related disability and symptoms of post-traumatic stress (PTSD).5 Participants who recovered, or only had persistent mild symptoms, and those with chronic idiopathic neck pain12 did not develop MFI. While the quantification of MFI in whiplash5,13–15 is intriguing, the mechanisms underlying its development in and their contribution towards poor functional recovery is largely unknown.
There are available16, 17 quantitative water-fat MR techniques (3D water-fat MRI18 and Proton-Density Fat Fraction)19 that could help quantify rapid physiologic changes that may precede changes observed on T1-weighted sequences.5 An earlier detection of MFI might prove crucial for identifying the early expression of MFI, its potential predictive role in the development of chronic WAD, and targets for more informed management.
While MFI has shown to occur throughout the neck muscles in WAD, larger magnitudes have been primarily observed in the multifidus.12,13 The purpose of this study was to 1) investigate the temporal expression of MFI in the cervical multifidii, 2) investigate differences in MFI between those who fully recover or report milder symptoms from those with moderate/severe symptoms, and 3) investigate the predictive value of MFI. We hypothesized that multifidii MFI on water-fat MRI will manifest soon following the injury event, between 1–2 weeks, and uniquely in the group with poor functional recovery.
MATERIALS AND METHODS
A total of 89 subjects enrolled in the study. However, 53 (60%) withdrew or were deemed ineligible for the following reasons: 5 (0.05%) were too old at the time of the first visit (> 55 years); 1 (0.01%) had lodged bullet fragments in the upper torso; 1 reported being an insulin dependent diabetic; 20 (22%) consented but decided they could not commit to the 3-month study; and 26 (29%) consented in the emergency medicine department but did not show for their initial appointment. Accordingly, 36 subjects (40%) with acute WAD were followed and assessed at <1-week, 2-weeks, and 3-months post injury. The demographics and baseline measures on all participants are shown in Table 1.
Table 1.
Recovered/Mild (n = 28) |
Moderate/Severe (n = 8) |
p-value | |
---|---|---|---|
Age (years) | 34.8 (10.8) | 37.8 (11.3) | 0.50 |
Gender | |||
(n, % Female) | 18 (64%) | 5 (63%) | 0.99 |
BMI (Kg/m2) | 26.2 (3.9) | 28.9 (4.0) | 0.10 |
Within 1 week of MVC (t1) | |||
NDI (%) | 25.9 (20.7)1 | 59.7 (11.6)2 | 0.0002 |
PDS (arousal) | 4.0 (3.3)1 | 10.0 (4.1)2 | 0.0003 |
MVC to t1 | 5.6 (2.6)1,3 | 5.6 (1.4)2,3 | 0.98 |
2 weeks after MVC (t2) | |||
NDI (%) | 16.6 (16.3) | 59.8 (16.3) | <0.0001 |
PDS (arousal) | 2.8 (3.1) | 9.0 (3.1) | <0.0001 |
MVC to t2 | 15.0 (3.7)3 | 14.1 (3.6)3 | 0.58 |
3 months after MVC (t3) | |||
NDI (%) | 6.2 (7.5) | 44.5 (13.8) | <0.0001 |
PDS (arousal) | 1.8 (2.3) | 9.3 (4.5) | <0.0001 |
MVC to t3 | 94.8 (7.6)3 | 92.4 (12.1)3 | 0.49 |
Abbreviations: BMI, body mass index; NDI, Neck Disability Index; PDS, Posttraumatic Stress Diagnostic Scale; MVC, motor vehicle collision; t1, time point 1 (within 1 weeks of MVC); t2, time point 2 (2 weeks after MVC); t3, time point 3 (3 months after MVC). Values are mean (SD), except for gender.
n=27
n=7
Average days from the initial injury (MVC) to the follow-up time points (t1, t2, & t3).
The study was a single-center prospective longitudinal study with an inception cohort of 36 people with acute whiplash injury (≤1 weeks duration) after a MVC with follow-up at 2-weeks and 3-months. The local Institutional Review Board granted ethical approval and all participants provided informed written consent. Participants were recruited via an urban academic emergency medicine department with level 1 trauma designation and were eligible provided they reported neck pain resulting from a MVC and were within the Quebec Task Force Classification category of WAD Grade II.20 Exclusion criteria were younger than 18 or older than 55 years of age, one or more previous MVC’s in their lifetime, treatment for neck pain disorders in the past ten years, any nervous system (e.g. Stroke, Parkinsons), metabolic system disorder (e.g. diabetes), or those who, by standard Emergency Medical Services’ protocols were deemed to be at risk for multi-system trauma.
One research assistant administered questionnaires on all subjects at each assessment. The MRI measures were performed at a radiology laboratory by a radiology technologist. The lead investigator, who was blind to the status of the patient in terms of questionnaire responses, measured all MFI data.
Self-reported pain and disability
Self-reported pain and disability was measured using the Neck Disability Index (NDI), which has been used extensively to quantify neck pain-related disability5, 9, 21. The percentage score was dichotomized into 2 groups (0–28%, mild/recovered and 30–100%, moderate to severe disability).22
PTSD symptoms
Symptoms of PTSD can be measured using total symptom severity score of the Posttraumatic Stress Diagnostic Scale (PDS).23 Higher scores (out of 51) indicate more severe symptoms. A recent derivation of a clinical prediction rule (CPR) supports using the hyperarousal subscale score as predictive of long-term outcomes.22 Accordingly, we chose to only use the hyperarousal subscale score as a way to measure emotional-mental stress.
MRI Measures and Analysis
All imaging data were collected with a 3.0T MRI scanner (Siemens, Erlangen, Germany). Each participant underwent MR examination of the cervical spine. A localizer scan and a T2-weighted sagittal turbo spin echo sequence was performed to determine the location of the water-fat scan.
3D Multi-echo Dixon water-fat MRI
A 3D multi-echo gradient echo acquisition was performed to collect the data required for the analysis of phase related to the precessional differences in fat and water for the neck multifidii muscles (C3-C7). A standard 12-channel head coil and 4-channel neck coil were used as receiver coils to improve signal-to-noise. The axial FLASH dual echo, gradient echo sequence had duration of 4:23 minutes, an in-plane resolution of 0.7mm using a rectangular field of view of 75% and thickness of 3mm and slab oversampling of 22% with 36 partitions to prevent aliasing in the 3D (superior-inferior) direction, TR/TE1/TE2 6.59/2.45/3.68 ms with a FOV of 190×320 mm. This scan covered the cephalad portion of C3 through the caudal portion of the C7 vertebral end plate. Images were co-registered across each time point using Analyze Software (v. 11.0).
Muscle water-fat quantification
Defined regions of interest (ROIs) were manually traced over each of the bilateral multifidii muscles from C3-C7 on the water-fat images.25 The MFI (%) from 3D water-fat imaging was created from the mean pixel intensity of fat-only (Fat) and the mean pixel intensity of water-only (Water) images with the following equation:
MFI (%) = Fat/(Fat+Water)*100
Statistical Analysis
Participants were classified based on NDI scores at 3-months post-injury as either recovered/mild (NDI of 0–28%) or moderate/severe (NDI ≥ 30%). These classifications have been used previously5, 22 and supported in subsequent work.6 Comparison of continuous measures between groups (Age, Body Mass Index (BMI), NDI, PDS, days from MVC and MFI) was done using the independent sample t-test. Comparison of gender between groups was done using Fisher’s exact test. MFI was compared across times within groups using a repeated measures linear model, with post-hoc comparisons done using the Tukey-Kramer procedure.26 MFI was compared between groups at each time using a multiple linear regression model that adjusted for age, gender and BMI to account for their potential to influence MFI development.14 An overall repeated measures linear model, adjusting for age, gender and BMI was used to test for a group by time interaction. Based on earlier data of group differences in MFI,12 and a between group effect size of 1.2, 12 subjects/group were required at 80% power and p = 0.05. A post-hoc power analysis indicated that the power to detect the observed differences (assuming the observed standard deviations) at 1 week, 2 weeks and 3 months was 0.32, 0.72 and 0.99 respectively. Observed effect sizes using the larger standard deviation in the moderate/severe group ranged from 0.60 at 1 week to 2.0 at 3 months. Receiver operating characteristic curve analysis was used to determine a cut-point for MFI at 2 weeks that could predict group membership at 3 months. Statistical analyses were done using SAS (SAS Institute Inc. 2011. SAS OnlineDoc® 9.3. Cary, NC: SAS Institute Inc.)
RESULTS
MRI Findings
Mean % MFI by group and time are given in Table 2. Due to the small variation in the within group changes in the recovered group, the modest mean changes between 1 week and 3 months were statistically significant (p=0.023). In the moderate/severe disability group, mean percent MFI significantly increased across all time points (p<0.002). Comparing the recovered/mild to moderate/severe groups indicated no significant difference at 1 week (p=0.31) with significant differences at 2 weeks (p=0.0009) and at 3 months (p<0.0001). The group by time interaction (p=0.026) indicated a significantly different time course in mean % MFI between the groups (Figure 1). Figure 2a–g illustrates the temporal registration (< 1 week, 2-weeks, and 3-months from injury) of MFI at the C5 vertebral level on dual echo water- and fat-only images in a severe subject compared to a subject that nominated full-recovery.
Table 2.
% MFI | 1 week | 2 weeks | 3 months |
---|---|---|---|
Recovered (n=28) |
13.4% (3.3%) [7.3 – 23.1] |
13.9% (4.0%) [7.2 – 22.9] |
14.3%* 3.6%) [7.4 – 23.9] |
Moderate/Severe (n=8) |
18.1% (7.7%) [4.6 – 28.4] |
25.1%** (10.6%) [6.2 – 40.6] |
30.3%** (7.9%) [17.0 – 43.8] |
Indicates significant within group differences between 1 week and 3 months (p = 0.023)
Indicates significant between group differences at 2 weeks (p=0.0009) and at 3 months (p<0.0001).
In the moderate/severe disability group, mean percent MFI significantly increased across all time points (p<0.002).
Prediction of 3-month severity
Receiver operating characteristic curve analysis indicated that MFI levels of 20.5% or above resulted in a sensitivity of 87.5% (identification of 7/8 in the moderate severe group) and a specificity of 92.9% (identification of only 2/26 in the recovered group). Having higher baseline pain-related disability was associated with having increased MFI at 2-weeks and 3 months post-injury. MFI levels at 2 weeks may be used to predict severity based on NDI at 3 months. Since classification into the recovered versus moderate/severe group was done at 3 months, MFI levels at 2 weeks were significantly associated with this classification (p=0.0009).
DISCUSSION
This study provides further evidence for the differential development of MFI in participants with varying levels of functional recovery following whiplash. Previous work from Australia demonstrated that neck MFI on T1-weighted MRI could be observed and used to differentiate participants with varying levels of functional recovery.5 Specifically, the group with poor functional recovery uniquely demonstrated the expression of MFI between one- and 3 months post-injury and this was related to initial pain intensity and mediated by symptoms of PTSD.5 In a likewise manner, here we demonstrated a differential and unique expression of multifidii MFI on water-fat MRI in tandem with higher levels of initial pain-related disability and symptoms of PTSD; further supporting a biopsychological basis underlying poor functional recovery.
While both groups entered the present study within one-week post-injury and had similar initial levels of MFI, the group with poor functional recovery uniquely demonstrated large muscle changes on water-fat MRI between 1- and 2-weeks post MVC. Given that neck MFI changes have typically not been detected until at least 1 month post-injury,5 water-fat MRI may represent a more rapid and possibly more sensitive measure for the development of MFI.16 Although the mechanisms underlying these changes, and their influence on recovery, remain largely unknown, the rapid development, and potential predictive value of MFI occurring with established predictive factors,22 warrant further cause/effect investigation. This is especially important when considering the available evidence suggests a lesion cannot be established in the vast majority of injured people.27
There are various mechanistic, but not necessarily mutually exclusive, processes that could underlie MFI, such as inflammation, denervation, disuse, altered activation of the sympathetic nervous system (SNS), and stress system dysregulation. Injury to a number of anatomical structures (facet joints, discs, ligaments, vascular tissues, and dorsal root ganglia28–33) could produce an inflammatory response,34 which, similar to other chronic pain disorders,35 could affect the functioning of the peripheral and central nervous systems36 as well as the structure and strength of skeletal muscle.37 While this study did not explore the role of inflammation on outcomes, a recent study investigating time-dependent changes in serum inflammatory biomarker levels in whiplash found a negative relationship between TNF-α and MFI at 3 months but no relationship with other markers (C-Reactive Protein, and IL-1β).37 Evidence from both an animal injury model38 and human study of pulmonary dysfunction39 indicates that higher levels of TNF-α may influence the recovery of muscle function. On the contrary, others have demonstrated increased levels of serum TNF-α in tandem with higher levels of disability in chronic low back pain,40 upper extremity overuse injuries,41 and significant losses of muscle mass in patients with cancer, AIDS and chronic obstructive pulmonary disease.42 Further study investigating the directional influence of local inflammatory factors on muscle structure and function following whiplash is warranted and well underway.
It is documented that decreased activity after a MVC increases the risk of chronic WAD,43 but the mechanisms by which decreased activity influences skeletal muscle structure and function following whiplash are largely unknown. The effect of depriving healthy individuals from their normal daily activity (as may be expected to occur if an individual reduces normal activity after a whiplash injury) can lead to fatigue, mood swings, reductions in muscle volume and intramuscular fatty infiltration.44–46 In addition, disuse may be, in part, a consequence of psychological factors such as fear-avoidance47 or passive pain coping styles.48 Regardless, the mechanisms behind disuse-induced MFI are complex and could be related to either neuropsychological origins or skeletal muscle properties as the output from both of these sources controls voluntary force production,45 and this requires further investigation.
Support for altered activation of the SNS is also available.49 Altered SNS activation is centrally programmed and has shown to exert a number of actions at the level of the muscle cell.49 In a state of prolonged stress, as might be expected in some cases of whiplash, excessive sympathetic outflow could result in hypoxia and toxaemia under which, intra-myocellular oxidative stresses may affect the contractility of skeletal muscle, and possibly the MFI observed in this and another study.5 Further research investigating SNS activity in those who develop MFI and post-traumatic stress following whiplash is important to better understand the underlying mechanisms of persistent WAD.
It is also notable that all of the subjects in the moderate/severe group (n of 8, or 22% of the study population) fit the criteria from a recent derivation clinical prediction rule (CPR), where the prediction of developing moderate/severe disability was increased in the presence of older age (> 35 years), higher initial levels of pain-related disability on the NDI (> 40%) and hyperarousal symptoms on the PDS (score of > 6).22 While it was not the intent of this paper to validate the Australian CPR,22 the results may be supportive, demonstrating a relationship between objective MRI findings of MFI and the CPR criteria.22 Accordingly, this current study could be considered part of a recommended series of multi-cultural studies needed to 1) provide a preliminary validation of the CPR, and 2) replicate the findings of MFI in whiplash.5
While the findings are intriguing, they must be interpreted with caution. The sample sizes, albeit small, do result in sufficient power to detect group MFI differences at 3 months. It is interesting and consistent with previous investigations5–7, 50–52 that 22% of subjects earned membership to the moderate/severe group. Furthermore, these 22% in the moderate/severe disability group, in addition to including all members of the recovered/mild group, followed recovery trajectories set forth in the Australian CPR.22 This will need to be validated in larger scale with a different population of patients with varying levels of pain-related disability.
While the differential development MFI in subjects with chronic versus recovered/mild WAD has now been produced in two different populations (Australia5 and the present study in the USA) with different insurance schemas and with two different fat separation methods (T1 and Dixon), they have been produced and reported by the same, albeit blinded, investigator (JE). The findings must be independently replicated before deriving more confident conclusions.
These findings may have implications for whiplash where the early assessment and management of modifiable factors (e.g. symptoms of PTSD, pain intensity, muscle degeneration53) may attenuate some physical aspects of the chronic condition. This and other cause and effect questions related to the origin of MFI and its predictive value in whiplash recovery requires further prospective evaluation, and this is underway. Lastly, in the case of the ‘at risk’ patients identified in this study, water-fat MRI may have implications for early assessment, characterization, and management of WAD. On the contrary, and in the vast majority of patients, the ordering and performance of early imaging applications may not be necessary.
Acknowledgements
The authors wish to thank Jill Sears and Ryan McConnell for their assistance in the recruitment of acutely injured participants from the Emergency Medicine Department at Northwestern Memorial Hospital, Chicago Illinois, USA. We also thank Marie Wasielewski for her assistance in co-ordinating follow-up visits and performing the MRI scans on all study participants.
The manuscript submitted does not contain information about medical device(s)/drug(s). The project described was supported by the National Center for Research Resources (NCRR) and the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH) through Grant Number KL2 RR025740 and KL2TR000107.
Relevant financial activities outside the submitted work: grants/grants pending, board membership, consultancy, other (Pain ID LLC), payment for lectures
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