Morphology and composition of the ventral neck muscles in individuals with chronic whiplash related disorders compared to matched healthy controls: a cross-sectional case–control study

Abstract

Objective

Studies of cross-sectional area (CSA) (morphology) and muscle fat infiltration (MFI) (composition) in ventral neck muscles is scarce in patients with chronic whiplash associated disorders (WAD), especially for men and those with severe WAD compared with matched healthy controls. The aim was to compare CSA and MFI of sternocleidomastoid (SCM), longus capitis (LCA) and longus colli (LCO) in patients with chronic right-sided dominant moderate (Neck Disability Index: NDI < 40) or severe WAD (NDI ≥ 40), compared to age- and sex-matched healthy controls.

Methods

Cross-sectional case–control study with blinded investigators. Thirty-one patients with chronic WAD (17 women and 14 men, mean age 40 years) (SD 12.6, range 20–62)) and 31 age- and sex-matched healthy controls underwent magnetic resonance imaging of ventral neck muscles segmental level C4.

Results

Unique to the severe group was a larger magnitude of MFI in right SCM (p = 0.02) compared with healthy controls. There was no significant difference between the groups with regards to the other muscles and measures.

Conclusions

Individuals with severe right-sided dominant WAD have a higher MFI in the right SCM compared to healthy controls. No other differences were found between the groups. The present study indicates that there are changes in the composition of muscles on the side of greatest pain.

Introduction

Whiplash injury from a motor vehicle collision (MVC) exposes the cervical spine to rapid mechanical forces [1–3], often exceeding the thresholds for cervical muscle strain injury [4]. MVC related whiplash is common with an annual incidence of 0.6% of inhabitants in the Western world [1]. Roughly half of those affected should expect to recovery spontaneously but the other half may transition from acute to chronic whiplash associated disorders (WAD), negatively impacting daily and working life [5–8]. WAD symptoms such as neck pain, radiculopathy, neck-specific disability, headache and dizziness may be related to structural injury [9–12] where the function of muscles traversing the cervical spine is impaired [13]. Neck-specific exercise aimed at restoring impaired muscular activation [7, 12, 14, 15] has shown promising results in chronic WAD [16–18] indicating the importance of a well-functioning neck muscle “corset”.

Reports of altered cross-sectional area (CSA) or relative CSA (rCSA) of select, mainly dorsal, muscles in WAD compared with healthy controls has been inconsistent [10, 19–23]. Reduced CSA may be a consequence of atrophy, and higher muscle fat content (fat vs contractile muscle components) the consequence of pseudohypertrophy. Either way, both result in lesser contractile muscular content and this may be a feature of the reported impairments in roughly half of those transitioning to chronic WAD. It is acknowledged that the evidence for early risk-based interventions is limited [8, 24] and there is a ‘global messaging’ to reduce unnecessary imaging. However, there remains a need to improve our understanding of biological based risk factors (e.g., quality and quantity of the muscles traversing the cervical spine [25] in individuals with acute injury). Such knowledge may provide foundation for exploring and establishing an improved diagnostic, prognostic, and therapeutics landscape for patients where few options exist [10, 20, 25–28].

Superficial ventral neck muscle sternocleidomastoid (SCM), deep ventral longus capitis (LCA) and longus colli (LCO), CSA and muscle fat infiltration (MFI) have not been widely studied in patients with neck pain or cervicogenic headache and without consistent findings [20, 23, 25, 29–31]. Studies performed on ventral neck muscles have been without group blinded assessor, and except for CSA measurements in the study by Ulbrich et al. [31] in acute mild (grade 1) and moderate (grade 2) WAD, were without age- and sex-matched healthy controls. Only in a few studies were individuals with chronic WAD included [20, 23, 25]. Men and those with severe WAD with both musculoskeletal and neurological findings (WAD grade 3) have been excluded and sometimes LCO and LCA have been combined in analysis. An important knowledge gap is thereby present in the understanding of WAD pathophysiology, especially as ventral muscles have been shown to be a key factor in rehabilitation [12, 14].

The aim of the present study was to compare CSA and MFI for select ventral muscles (Sternocleidomastoid (SCM), Longus Colli and Capitis (LCO and LCA) muscles in right-handed men and women with chronic right-sided dominant moderate (Neck Disability Index: NDI [32] < 40%) or severe WAD (NDI ≥ 40%) [10, 26, 28] compared with right- handed age- and sex-matched healthy individuals.

The hypothesis of the study was that MFI would be higher in individuals with WAD compared with healthy controls, and that those with severe WAD would have higher MFI compared to those with moderate WAD. Regarding CSA, differences between groups may be expected, but based on the literature, we did not have a definite direction as hypothesis.

Methods

This is a cross-sectional case–control study with investigators blinded for group belonging when performing the magnetic resonance imaging (MRI) muscle segmentation. Data was collected at an University hospital in the south of Sweden during 2012 and 2013, later on segmented and analysed.

Ethical statement

Human experimentation was approved by the local regional ethics committee at Linköping University, Sweden before data collection started (Dnr 2011/262–32) and conforms to Helsinki Declaration. All experiments were performed in accordance with relevant Swedish guidelines and regulations.

Participants

Inclusion criteria for the WAD group were persistent neck problems ≥ 6 months but ≤ 3 years after a whiplash injury [33]; age 18–63 years; neck pain > 20 mm on a Visual Analogue Scale; and > 20% on the NDI [16, 34, 35].

Exclusion criteria were neck pain that caused a > 1 month absence from work in the year prior to the WAD trauma, known or suspected serious physical pathology, surgery on the cervical spine, signs of traumatic brain injury at the time of whiplash injury, diseases or other injuries that might prevent full participation in the study, generalised or more dominant pain elsewhere in the body and insufficient knowledge of the Swedish language (inability to answer the questionnaires and to understand instructions) [16, 34, 35]. Additional exclusion criteria in the present study were contraindications for MRI such as shunt, pacemaker, metal in the body, claustrophobia, body mass index (BMI) > 35 (due to the space within the magnet) and pregnancy [10, 26, 28].

A convenience sample of age- and sex-matched controls that felt healthy (n = 31) were consecutively recruited for each of the included patients (Table 1). The healthy (right-handed) controls presented without present or recurrent neck pain, never received a trauma against the neck or head and never received treatment for neck pain. The control group did not differ regarding height, weight, or BMI in relation to the patients [10, 26, 28].

Table 1.

Demographic table for healthy controls (controls) and patients with chronic moderate (Neck Disability Index: NDI < 40) or severe (NDI ≥ 40) whiplash associated disorders (WAD)

	Controls	WAD < 40	WAD ≥ 40	Significance
Total number	31	20	11
Female/Male	17/14	10/10	7/4	P = 0.77*
Age Years (range)	41.5 (22—61)	39.2 (20—62)	45.7 (33—58)	p = 0.26**
Duration Months (range)	N/A	20 (7—36)	14,5 (6—32)	p = 0.11***
NDI (mean (range))	N/A	27.3 (10—38)	51.3 (40—68)	p < 0.0001***
VAS (mean (range))	N/A	30.2 (3—70)	53.5 (30—75)	p = 0.005***

VAS Visual analoge scale

^* Chi^2-test used

^** ANOVA

^*** t-test 2-sided

MRI analyses

MRI images were acquired with a Philips Ingenia 3.0 T scanner (Royal Philips, Amsterdam, the Netherlands), using the built-in phased-array posterior coil, a 32-channel head coil and an anterior flexible coil placed adjacent to the head coil. The participants were positioned supine for imaging. A three-dimensional gradient-echo sequence was used with out-of-phase and in-phase echo times of 3.66 ms and 7.24 ms, respectively. The echo times were chosen to enable high resolution. The repetition time was 10 ms and the flip angle was 10°, with a total acquisition time of 9.07 min. The images included cervical segmental level C4 and were angled so that the in-plane images were parallel to the cervical segments. The acquired image resolution was 0.75 × 0.75 × 0.75 mm³. Phase-sensitive reconstruction was used to acquire fat- and water-separated images [10, 26]. With dual-echo mDixon imaging it is not possible to correct for T2 effects based on the information in the images. Therefore, a literature value for T2 relaxation of 23.9 ms was used for both fat and water to perform the T2 correction in this study [10, 20].

Muscle segmentation

MRI muscle segmentation (Analyze V 11.0, AnalyzeDirect, Inc, Overland Park, USA) at C4 segmental level [20] were performed in random order by an investigator, a musculoskeletal physiotherapist blinded for group belonging (HB in discussion with AKK, AP and ODL) with good to excellent test–retest reliability (two-way random absolute agreement single measure intra-class correlation coefficient (ICC)) for muscle CSA (ICC 0.93–0.98) and MFI (ICC 0.70–0.99). The test–retest analysis was randomly performed of 20 randomly selected duplicates (HB and JME were unaware of the duplicated imaging). A second experienced investigator (JME) approved all segmentations (musculoskeletal physiotherapist and Professor with more than 15-years’ experience of MRI neck muscle segmentation). The investigators (HB and JME) were independent and not involved in study design or recruitment of participants.

Manual muscle segmentation with identification of region of interest (ROI) of SCM, LCA and LCO (Fig. 1) was performed with axial fat- and water imaging, where the ROIs were drawn on the water imaging with visual support from the fat imaging and checked for accuracy. The water imaging, fat imaging and the mixed water-fat imaging were checked by visual inspection a final time before the second investigator rechecked and approved all ROIs. The ROIs were downloaded into MATLAB 2013b (Math Works, Inc, MA USA). The MFI were calculated as the fat within the ROI divided by the total sum of all water and fat within the muscle. The CSA was calculated in square millimetres (mm²) [10].

Fig. 1.

Region of interest (ROI) of the longus colli (2, 3), longus capitis (1, 4) and sternocleidomastoid (5, 6). To the left a fat imaging and to the right a water imaging at C4 segmental level

Statistical analysis

The WAD group was divided in a moderate (NDI < 40%, n = 20) and a severe group (NDI ≥ 40%, n = 11) [20, 26, 28]. The Kruskal–Wallis one way analysis of variance was used for analyses between the three groups; when a significant difference (p ≤ 0.05) was identified a Mann–Whitney U-test was used as a post-hoc test.

Wilcoxon signed-rank test was used to analyse differences between right and left SCM in interpretation of the findings. IBM SPSS Statistics for Windows version 26 was used for statistical analyses. Statistical analysis was performed by a university statistician (not involved in study design or data collection) in dialogue with AK and AP.

Results

Thirty-one people (17 women and 14 men, with a mean age of 40 years (SD 12.6)) with chronic WAD (≥ 6 month duration) with a mean symptom duration of 20 months (SD 9) who were right-handed and with right-sided dominant symptoms (right-side only pain or bilateral neck pain worse on the right side) and signs of WAD grade 2 (clinical musculoskeletal findings emanating from the neck) and 3 (as grade 2 but with additional neurological findings) [33], were consecutively recruited at baseline from an ongoing randomised controlled study [16, 34, 35] after oral and written informed consent (Table 1). Right-handed patients with dominant right-sided problems were chosen so that handedness would not imply a bias in the analysis.

Except for MFI of the right SCM (p = 0.03) with the significant differences between severe WAD group and control group (p = 0.02), there were no significant differences between the three groups, neither for CSA (Table 2) or MFI (Table 3).

Table 2.

Between groups comparison of cross-sectional area (mm²) of ventral neck muscles (longus colli = LCO, longus capitis = LCA, sternocleidomastoid = SCM)

Muscle	LCO left	LCO right	LCA left	LCA right	SCM left	SCM right
WAD < 40*
Median (mm2)	61.6	71.2	55.4	57.4	400.5	426.9
Range (mm2)	73.7	52.3	32.6	38.8	248.6	249.2
Number	20	20	20	20	14	15
(Drop-out*)	(0)	(0)	(0)	(0)	(6)	(5)
WAD ≥ 40*
Median (mm2)	52.9	59.6	43.9	47.8	323.2	354.4
Range (mm2)	51.2	43.9	33.2	3.9	284.6	313.3
Number	9	9	9	9	8	9
(Drop-out*)	(2)	(2)	(2)	(2)	(3)	(2)
Controls*
Median (mm2)	63.0	65.3	50.3	54.6	403.9	404.4
Range (mm2)	50.1	56.3	68.6	56.3	363.4	333.6
Number	28	28	28	28	25	27
(Drop-out)	(3)	(3)	(3)	(3)	(6)	(4)
p =	0.22	0.09	0.11	0.23	0.22	0.26

WAD Whiplash Associated Disorders, NDI Neck Disability Index

^* moderate WAD (NDI < 40), severe WAD (NDI ≥ 40) and age- and sex-matched healthy controls. Drop-out is unclear imaging, not possible to analyse

Table 3.

Between groups comparison of muscle fat infiltration of ventral neck muscles (longus colli = LCO, longus capitis (LCA) and sternocleidomastoid = SCM)

Muscle	LCO left	LCO right	LCA left	LCA right	SCM left	SCM right
WAD < 40*
Median (%)	-0.005	-0.006	-0.04	0.009	0.059	0.041
Range (%)	0.25	0.32	0.22	0.20	0.32	0.30
Number	20	20	20	20	14	15
Drop-out	(0)	0	(0)	(0)	(6)	(5)
WAD ≥ 40*
Median (%)	0.026	0.054	0.011	0.023	0.110	0.104
Range (%)	0.30	0.36	0.33	0.11	0.18	0.21
Number	9	9	9	9	8	9
Drop-out	(2)	(2)	(2)	(2)	(3)	(2)
Controls*
Median (%)	0.019	0.019	0.007	-0,017	0.062	0.019*
Range (%)	0.32	0.41	0.31	0.34	0.25	0.43
Number	28	28	28	28	25	27
Drop-out	(3)	(3)	(3)	(3)	(6)	(4)
p =	0.39	0.75	0.71	0.35	0.25	0.03

WAD   Whiplash Associated Disorders, NDI Neck Disability Index

^*WAD moderate (NDI < 40), severe WAD (NDI ≥ 40) and age- and sex-matched healthy controls

Control vs. severe WAD p = 0.02, control vs. mild WAD p = 0.12, mild WAD vs. severe WAD p = 0.10 (Mann–Whitney U-test)

SCM left vs. right (Wilcoxon signed rank test) p = 0.01 for healthy controls

Drop-out = unclear imaging, impossible to analyse

Discussion

Except for significant higher MFI in the severe WAD group (about 550% higher) in the right SCM compared with the healthy group, there were no significant differences in muscle volume or MFI between the three groups in the present study. In the moderate WAD group there was about 220% higher MFI in right SCM compared with the healthy group, showing the same trend as in the severe group but without significant differences. The result between groups for left SCM, LCA and LCO did not differ if moderate and severe WAD groups were combined against the healthy group, with no significant differences between groups (p = 0.11–0.90), and was independent of parametric or non-parametric statistics, showing a stability in the results. There were no significant differences between the three groups regarding CSA. The hypothesis was thereby only met regarding significant higher MFI in the severe WAD group and only at the (most) affected right side. CSA and MFI for SCM has been reported to be higher, lower or without differences from healthy [20, 23, 27, 30, 31] and LCO and LCA to be increased or without differences from healthy [20, 30]. In studies of individuals with chronic WAD (dominant side of pain and handedness not defined in moderate WAD and healthy controls unmatched), increased MFI in SCM against healthy controls were reported by Van Looveren et al. [23] and Elliott et al. [20]. However, the results by Elliott et al. [20] was contradictory to the present study, with the highest MFI found in the deep ventral neck muscles and not in the SCM. When the fat signal was removed from the MRI imaging in the study by Elliott et al. [25] the results regarding muscle size of SCM was inconsistent between healthy and controls. Differences in findings among the studies may be caused by different aims, study populations, scanning techniques, different segmental levels measured, different measurements of CSA, MFI and combining muscles [9, 39].

In the present study, higher MFI was found in the right SCM in the WAD group, but not the left side. This may be explained by how all in the WAD group had dominant right-sided problems with right as their worse side. SCM distributes high amounts of load [4, 36], exceeding the injury threshold, during high acceleration and strain from rear and lateral impacts [4, 37]. It remains plausible findings of higher MFI on the painful side could be the result of an injury mechanism that exceeded the individual’s strain threshold. Cagnie et al. [29] found lower MFI in the right SCM compared with the left side in asymptomatic individuals. This is the opposite findings compared with the WAD group, this even though the WAD group were right-handed, which strengthens the group differences.

During the last decade a number of theories underlying greater changes in the deep muscles feature in those with acute and chronic WAD. Despite the lack of understanding the precise mechanisms underlying these changes, findings from the basic sciences point to specific molecular processes. For example, the micro ribonucleic acid (RNA) let-7i-5p, which participants in the recruitment and function of brite adipocytes [38], was shown to mediate the relationship between MFI and neck disability after a whiplash injury, giving a new piece in the complicated puzzle [39]. There remains inconclusive evidence if the muscles changes are local to the site of injury (e.g., cervical spine) or extend to the distal muscles, suggesting a more systemic consequence [40]. There is emerging evidence that changes in the composition of distal muscles may reflect a more severe injury involving the spinal cord; changes that are radiologically occult when using conventional imaging techniques. While the number of participants damaging their spinal cord in a simple MVC is likely low, its occurrence is not impossible [40].

Study limitations

Previous work [10], involving the same cohort, and others [41] has reported significant degeneration with increased MFI in the deep dorsal multifidus muscle. This has also been shown in the deep ventral LCO and LCA muscles in other cohorts [20, 30]. We were thus surprised by the lack of group differences in the deeper ventral muscles in this cohort. However, lower MFI has been reported in ventral compared with dorsal neck muscles in asymptomatic [42] and symptomatic populations [20, 43]. The muscle fibre composition differs between deep dorsal and ventral neck muscles, with more slow oxidative type 1 fibres in dorsal multifidus [44] that may be prone to transform into fast type IIB fibres in WAD followed by increased MFI [20, 27, 44]. However, from the present study we cannot exclude that such findings would be present in LCO and LCA in other cervical segments not investigated or in regions of the muscles as reported for the multifidus muscle [26]. Another drawback is that the present study may be underpowered and future larger studies are needed. Manual segmentation is extremely time consuming and MRI investigations rather expensive, so advanced automated segmentation and future analyses with help from artificial intelligence may be helpful in future research [45, 46]. No age- or gender-related differences in measured parameters were studied. The sample size was too small for subgrouping on age and gender and this was not the aim of the study.

Study strengths

The strength of the present study was that all patients had a WAD verified in a clinical examination, it matched age- and sex-specific healthy controls, with excellent test–retest reliability of MRI analyses, and analyses of each muscle separately and for both right and left side, and investigators blinded for group belonging. Both investigators were independent and not involved in study design or data collection. MFI was analysed additional to CSA measurements. Furthermore, in the present study both sexes and even those with severe WAD were included. Another advantage was that all patients reported right-sided problems. This made the present study unique, contributing to the scientific knowledge of those with WAD.

Conclusions

One can conclude that individuals with severe right-sided dominant WAD (NDI ≥ 40%) have higher MFI in the right SCM compared with healthy individuals, but that there were no significant differences in CSA or in LCO and LCA. The present study indicates that there are compositional changes in the SCM on the painful side and that it may be important to exercise the SCM muscle in individuals with persistent WAD. However, this needs to be further evaluated in longitudinal intervention studies. Further studies are also needed to investigate the functional importance of MFI in ventral neck muscles. The study result may be generalised to individuals with chronic WAD grade 2 and 3, we believe even to those left-handed with left sided dominant pain.

Abbreviations

BMI

Body mass index

CSA

Cross-sectional area

LCA

Longus capitis muscle

LCO

Longus colli muscle

MFI

Muscle fat infiltration

MRI

Magnetic resonance imaging

MVC

Motor vehicle collision

NDI

Neck disability index

rCSA

Relative CSA

RNA

Micro ribonucleic acid

ROI

Region of interest

SCM

Sternocleidomastoid muscle

VAS

Visual analogue scale

WAD

Chronic whiplash associated disorders

Authors’ contributions

Conception/design of the work: A.P., O.D.L., A.K., Data collection: A.P., O.D.L., A.K., P.Z., G.P., Data analysis: H.B., J.E.M. in cooperation with A.P., O.D.L., A.K., Drafting the article: A.P., Critical revision of the article: A.P., O.D.L., A.K., J.M.E., P.Z., G.P., H.B. The author(s) read and approved the final manuscript.

Funding

Funding was received to the university in open concurrence. Medical Research Council of Southeast Sweden, County Council of Östergötland, Sweden, FORSS-225601. The results presented is authors' own work.

Availability of data and materials

Data can be available upon reasonable request to Anneli Peolsson (Anneli.Peolsson@liu.se) and after ethical permission.

Declarations

Ethics approval and consent to participate

Human experimentation was approved by the local regional ethics committee at Linköping University, Sweden before data collection started (Dnr 2011/262–32) and conforms to Helsinki Declaration. All experiments were performed in accordance with relevant Swedish guidelines and regulations. All participants participated after informed oral and written consent.

Consent for publication

Not applicable.

Competing interests

None of the authors has any conflict of interest to disclose. ODL is an employee and share holder of AMRA Medical AB, Linköping, Sweden. AK is a share holder of AMRA Medical AB.