Ultrasound Imaging of the Trunk Muscles in Acute Stroke Patients and Relations With Balance Scales

Yunho Kim; Jeeyoung Kim; Heesung Nam; Hyun Dong Kim; Mi Ja Eom; Sang Hoon Jung; Nami Han

doi:10.5535/arm.19125

Journal List > Ann Rehabil Med > v.44(4) > 1150805

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Kim, Kim, Nam, Kim, Eom, Jung, and Han: Ultrasound Imaging of the Trunk Muscles in Acute Stroke Patients and Relations With Balance Scales

Original Article

Ann Rehabil Med 2020;44(4):273-283.

Published online: 28 July 2020

DOI: https://doi.org/10.5535/arm.19125

Ultrasound Imaging of the Trunk Muscles in Acute Stroke Patients and Relations With Balance Scales

Yunho Kim, MD

, Jeeyoung Kim, MD

, Heesung Nam, MD

, Hyun Dong Kim, MD, PhD

, Mi Ja Eom, MD

, Sang Hoon Jung, MD

, Nami Han, MD, PhD

Department of Physical Medicine and Rehabilitation, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Korea

Corresponding author: Nami Han Department of Physical Medicine and Rehabilitation, Inje University Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan 47392, Korea. Tel: +82-51-890-6295, Fax: +82-51-890-5804, E-mail: rehabit@inje.ac.kr

Received 14 August 2019 Revised 17 September 2019 Accepted 30 October 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objective

To examine the correlation between ultrasonographic trunk muscle parameters and balance scales in mild acute stroke patients.

Methods

A total of 55 stroke patients with hemiparesis and motor power grade ≥4 in the manual motor test were included. The Scale for the Assessment and Rating of Ataxia (SARA), Berg Balance Scale (BBS), Timed Up and Go Test (TUG), and Trunk Control Test (TCT) were used to evaluate patient balance function. Ultrasonographic parameters were measured on both non-paretic and paretic sides of the rectus abdominis, external oblique, internal oblique, transversus abdominis, and erector spinae muscles. Resting thickness and contraction thickness were measured in all muscles, and contractility and contractility ratio were calculated based on measured thicknesses. The differences between paretic and non-paretic muscle parameters, and the correlation between ultrasonographic parameters and balance scales were analyzed. Stroke patients were divided into two groups according to their fall risk. Ultrasonographic measurements between the two groups were compared.

Results

All muscles’ contraction thickness and contractility were significantly different between paretic and non-paretic sides (p<0.001). Contractility ratios of all trunk muscles showed a significant correlation with SARA, BBS, TUG, and TCT (p<0.05). Contractility ratios of all muscles were significantly different between high- and low-risk fall groups (p<0.05).

Conclusion

The contractility ratio in stroke patients reflects their balance disturbance and fall risk and it may serve as a new parameter for ultrasound imaging of trunk muscles.

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Keywords: Ultrasonography, Postural balance, Stroke, Paraspinal muscles, Abdominal muscles

INTRODUCTION

The trunk is the largest part of the human body and plays a significant role in the stabilization and movement of multiple body parts. It contributes to maintaining a good posture, moving limbs against gravity, and smoothly connecting different postures by core movement [1]. It is common that stroke patients have difficulty to selectively control the functional movement of trunk muscles, even if there is no severe damage on their hemiparetic sides, and abnormal control of trunk muscles results in waste of energy and balance dysfunction [2,3]. Poor trunk muscle control leads to poor sitting/standing balance, decreased functional movement of the upper and lower extremities, increased risk of fall, and decreased level of independence in activities of daily living (ADL). Several studies have reported that the level of balance at the time of hospital admission is correlated with the average length of hospital stay and functional improvement after treatment [4-6]. One study even suggested that trunk muscle control ability in the early stage of stroke is a strong predictor for the outcome of ADL at 6 months after stroke [7]. The relationship of trunk performance after stroke with balance and gait has been also demonstrated in a previous study [8]. Thus, appropriate trunk muscle control is essential for most physical activities, signifying that accurate measurement of the trunk muscle and their performance is important in stroke patients.

There are several tools that measure balance and trunk function, namely the Berg Balance Scale (BBS), Timed Up and Go Test (TUG), and Trunk Control Test (TCT). These tests are easily accessible and affordable without requiring additional equipment or expenses, hence widely used clinically [9]. The Scale for the Assessment and Rating of Ataxia (SARA) can be additionally used to evaluate motor control of stroke patients together with tools with proven reliability (e.g., BBS, TUG, TCT). SARA can be a complementary tool, because it includes more detailed evaluation subscales for trunk muscle control such as gait, stance, and sitting [10].

The following muscles are most frequently evaluated for association with trunk stability: rectus abdominis (RA), transversus abdominis (TrA), external oblique/internal oblique (EO/IO) abdominis, erector spinae (ES), multifidus, gluteus, iliopsoas, diaphragm in the rear part, and hip muscles. Although each muscle associated with trunk stability has a unique role, it is reported that the muscles act through co-contraction to establish trunk stabilization [11]. Therefore, multiple trunk muscles should be evaluated together, rather than selecting just one as a representative. Trunk muscles not only stabilize the body in the static state, but are also important for the dynamic balance during all functional movements [12]. Therefore, to evaluate trunk muscles, anatomical approaches without consideration of muscle performance are not sufficient to monitor their dynamic function.

To date, many studies have been performed to evaluate trunk-stabilizing muscles using different methods, including isokinetic machine, manual dynamometer, electromyography (EMG), computed tomography (CT), magnetic resonance image (MRI), and musculoskeletal ultrasonography, not only in healthy individuals but also in patients with lower back pain and stroke. Radiologic evaluations, such as CT and MRI, are only available for static evaluation and are difficult to be conducted repeatedly because of their high cost. Isokinetic machine can reveal the functional aspect of trunk muscles, but it cannot measure the function of individual muscles separately. As EMG is invasive, it is painful and inconvenient for patients. In contrast, ultrasound is an easy and economical examination to measure the thickness of trunk muscle. It also has the advantage of monitoring dynamic components, since it can measure the change of thickness when performing an action [3,13,14]. Various studies focusing on abdominal muscles have shown that thickness on contraction measured with ultrasound is associated with EMG recruitment [15,16]. Another study showed a comparable result in the paraspinal muscles as well [17]. Based on this, ultrasound imaging is expanding its rolls as a functional evaluation tool for rehabilitation.

This study aimed to measure both static and dynamic parameters in trunk muscles with ultrasound imaging and to reveal which parameters may be related to balance assessment tools (BBS, TUG, TCT, SARA) in stroke patients with mild hemiparesis, who have balance disturbance without significant weakness in the paretic limbs. In addition, this study sought to identify the difference of the ultrasonographic parameters of trunk muscles between two groups classified according to fall risk.

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MATERIALS AND METHODS

Study design and patients

This is a single-center, prospective, cross-sectional, and non-blinded study. Participants were selected from stroke patients consulted at the Rehabilitation Department of Inje University Busan Paik Hospital in 2018. Baseline screening was performed through medical records and study participants were subjected to additional physical examinations, balance scales and ultrasonographic measurement. The following patient inclusion criteria were applied: (1) first incidence of stroke; (2) patients who were out of absolute bed rest state; (3) acute stroke patients (stroke event <1 month) [18,19]; and (4) hemiparetic stroke patients with motor power grade ≥4 according to the manual motor test (MMT) at all movements of upper and lower extremities. The following exclusion criteria were applied: (1) history of lumbar or abdominal operations; (2) history of previous brain lesions; (3) sensory disturbance of light touch and pain on the hemiparetic side; (4) cognitive impairment and Mini-Mental State Examination (MMSE) score <26; and (5) medical instability. Consequently, 55 patients were recruited as study participants and divided into the following two groups according to their fall risk, which was measured with BBS: high-risk fall group (n=19) was defined as patients with BBS score <46 and the low-risk fall group (n=36) with BBS ≥46 [20]. The flow chart of this study is shown in Fig. 1. The present study was approved by the Institutional Review Board of Inje University Busan Paik Hospital (No. 18-0062) and all patients provided informed consent prior to their participation.

Fig. 1.

Flow chart of the study design. A total of 55 patients were selected as study participants. BBS, Berg Balance Scale.

Measurement and procedure

Assessments using balance scales were performed after patients were out of absolute bed rest. We used SARA, BBS, TUG, and TCT as evaluation tools. After evaluation of balance scales, ultrasonographic parameters were measured on both the non-paretic and paretic sides of the RA, EO, IO, TrA, and ES (Fig. 2). Thickness of the resting and contraction states according to the adequate position was measured. Based on this, contractility and contractility ratio were measured as dynamic parameters. Contractility, which indicates the contraction ability of a muscle, was calculated by dividing contraction thickness by resting thickness. Contractility ratio, which reflects the difference of contraction ability between both sides of the body, was calculated by dividing contractility of the unaffected side by contractility of the affected side.

Fig. 2.

Ultrasonographic images of the RA muscle (A), lateral abdominal muscle (B), and ES muscle (C). Thickness was measured in the resting and contraction states. RA, rectus abdominis; EO, external oblique; IO, internal oblique; TrA, transversus abdominis; ES, erector spinae.

A physician with >2 years of professional experience was appointed as an evaluator. LOGIQ e Ultrasound (GE Healthcare, Milwaukee, WI, USA) equipped with a linear probe (5–12 MHz) for the abdominal muscles and a round probe (2–5.5 MHz) for the ES muscle was used. In the supine position, the linear ultrasound probe was placed transversely 3 cm lateral to the umbilicus for the RA. For the oblique and TrA muscles, the probe was placed vertically at the umbilicus line and horizontally 3 cm medial to the mid-axillary line [21,22]. In the prone position, the round ultrasound probe was placed longitudinally 4 cm lateral to the L4 spinous process level [23]. Abdominal bracing can contract the abdominal muscles simultaneously while pushing them, as if expanding the belly slowly without breathing in a supine hook-lying position. For thickness measurement during contraction of the RA, EO, IO, and TrA muscles, abdominal bracing should be measured with knees placed in a 90° flexed position and both hands placed next to the waist [13,21,24]. For thickness measurement of the ES muscle during contraction, the patient was placed in a prone position with the ipsilateral leg lifted upward as much as possible during measurement and between measurements; sufficient rest for 1–2 minutes was provided [23,25].

Statistical analysis

Windows SPSS version 25.0 (IBM SPSS, Armonk, NY, USA) was used for statistical analysis, and the level of statistical significance was set at p<0.05. For baseline characteristics, all data were expressed as mean±standard deviation. We used paired t-test to analyze the differences between the paretic and non-paretic muscle parameters. The correlations between ultrasonographic parameters and balance scales were calculated through a Pearson correlation coefficient analysis. The Mann-Whitney U-test was used to compare ultrasonographic parameters between the high- and low-risk fall groups.

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RESULTS

Patients’ characteristics

A total of 55 patients with stroke (infarction, n=42; hemorrhage, n=13) were included in this study. Patients’ characteristics are summarized in Table 1. Patients’ average age was 70.00±15.28 years in the high-risk fall group and 61.97±12.32 years in the low-risk fall group. The duration from stroke incidence to evaluation was 9.79±9.77 days in the high-risk fall group and 11.56±10.59 in the low-risk fall group. The average BBS scores were 38.42±7.75 in the high-risk fall group and 51.31±2.93 in the low-risk fall group.

Table 1.

Demographics and characteristics of patients (n=55)

Characteristic	High-risk fall group (n=19)	Low-risk fall group (n=36)
Sex
Male	10	24
Female	9	12
Age (yr)	70.00±15.28	61.97±12.32
BMI (kg/m²)	22.45±1.87	23.91±2.86
Duration from stroke onset to examination (day)	9.53±9.82	12.44±10.99
Hospitalization period (day)	17.89±12.14	14.86±11.87
Stroke type and lesion
Infarction	15	27
Cerebellum	0	4
BG or capsula interna	2	0
Thalamus	1	3
Pontine and medullar lesion	2	1
Multiple lesion	10	19
Hemorrhage	4	9
Side of lesion
Right	12	22
Left	7	14
Smoking
Yes	1	11
No	18	25
Cardiovascular disease
Yes	1	4
No	18	32
Left ventricular hypertrophy
Yes	0	1
No	19	35
Hypertension
Yes	9	16
No	10	20
Diabetes mellitus
Yes	5	7
No	14	29
Atrial fibrillation
Yes	0	4
No	19	32
NIHSS on admission	4.11±2.10	3.06±3.96
mRS on admission	2.58±0.92	1.53±1.44
SARA score	8.61±4.43	2.46±2.14
BBS	38.42±7.75	51.31±2.93
TUG test	24.29±8.84	12.81±53.7
TCT	95.21±10.76	100±0.00

Values are presented as mean±standard deviation or as number (%).

BMI, body mass index; BG, basal ganglia; NIHSS, National Institutes of Health Stroke Scale; mRS, modified Rankin Scale; SARA, Scale for the Assessment and Rating of Ataxia; BBS, Berg Balance Scale; TUG, Timed Up and Go Test; TCT, Trunk Control Test.

Non-paretic and paretic side difference

There were differences in contraction thickness and contractility among all muscles between paretic and non-paretic sides. Contractility was significantly lower at the paretic side than at the non-paretic side (p<0.001) for every trunk muscle. The resting thickness of the RA and EO muscles showed no significant difference between non-paretic and paretic sides (Table 2).

Table 2.

Ultrasonographic values for the paretic and non-paretic side of trunk muscles

	Non-paretic	Paretic	p-value
Rectus abdominis
Resting thickness (mm)	7.60±2.26	7.49±2.42	0.337
Contraction thickness (mm)	8.95±2.54	8.22±2.64	<0.001^*
Contractility	1.19±0.12	1.10±0.10	<0.001^*
External oblique
Resting thickness (mm)	3.60±1.22	3.56±1.04	0.675
Contraction thickness (mm)	4.54±1.43	4.14±1.25	<0.001^*
Contractility	1.28±0.19	1.16±0.14	<0.001^*
Internal oblique
Resting thickness (mm)	6.70±2.21	6.48±2.09	0.042^*
Contraction thickness (mm)	8.68±2.71	7.74±2.49	<0.001^*
Contractility	1.30±0.15	1.20±1.32	<0.001^*
Transversus abdominis
Resting thickness (mm)	3.16±1.35	3.00±1.29	0.047^*
Contraction thickness (mm)	4.99±2.09	4.26±1.95	<0.001^*
Contractility	1.62±0.49	1.43±0.43	<0.001^*
Erector spinae
Resting thickness (mm)	37.51±6.19	36.71±6.12	0.045^*
Contraction thickness (mm)	44.47±6.56	41.40±7.00	<0.001^*
Contractility	1.19±0.11	1.13±0.09	<0.001^*

Values are presented as mean±standard deviation.

^* p<0.05 by paired t-test.

Correlation between ultrasonographic parameters and balance scales

Only the contractility of the RA and IO muscles at the non-paretic side showed significant correlation with all balance scales. Only the contractility of the ES muscles at the paretic side showed significant correlation with BBS and TUG. In contrast, the contractility ratios of all trunk muscles showed significant correlation with SARA, BBS, TUG, and TCT (Table 3).

Table 3.

Correlation coefficients between ultrasonographic trunk muscle parameters and balance scales in stroke patients

	Pearson correlation coefficient
	SARA	BBS	TUG	TCT
Rectus abdominis
NPS thickness	-0.184	0.191	-0.221	0.101
PS thickness	-0.168	0.184	-0.240	-0.221
NPS contractility	0.431^**	-0.434^**	0.340^*	-0.371^**
PS contractility	0.067	-0.065	0.068	0.058
Contractility ratio	0.529^**	-0.534^**	0.393^**	-0.605^**
External oblique
NPS thickness	-0.263	0.309^*	-0.385^**	0.118
PS thickness	-0.342	0.355	-0.420	-0.213
NPS contractility	0.212	-0.212	0.089	-0.232
PS contractility	-0.222	0.194	-0.241	0.175
Contractility ratio	0.562^**	-0.533^**	0.414^**	-0.542^**
Internal oblique
NPS thickness	-0.115	0.161	-0.220	0.060
PS thickness	-0.130	0.192	-0.274	0.077
NPS contractility	0.497^**	-0.491^**	0.439^**	-0.395^**
PS contractility	-0.083	0.100	-0.066	0.063
Contractility ratio	0.659^**	-0.673^**	0.568^**	-0.541^**
Transversus abdominis
NPS thickness	-0.118	0.091	-0.119	0.200
PS thickness	-0.131	0.102	-0.149	0.192
NPS contractility	-0.029	0.063	-0.031	-0.110
PS contractility	-0.237	0.247	-0.215	0.070
Contractility ratio	0.374^**	-0.337^*	0.311^*	-0.320^*
Erector spinae
NPS thickness	-0.313^*	0.392^**	-0.298^*	0.134
PS thickness	-0.236	0.306^*	-0.243	0.035
NPS contractility	0.170	-0.092	0.014	0.024
PS contractility	-0.237	0.301^*	-0.354^**	0.191
Contractility ratio	0.562^**	-0.533^**	0.414^**	-0.542^**

Value of NPS thickness and PS thickness was measured on resting state.

NPS, non-paretic side; PS, paretic side; SARA, Scale for the Assessment and Rating of Ataxia; BBS, Berg Balance Scale; TUG, Timed Up and Go Test; TCT, Trunk Control Test.

^* p<0.05,

^** p<0.01 by Pearson correlation coefficient analysis.

When comparing according to the fall risk, the contractility ratios of all muscles were different between the two groups. However, thickness and contractility of individual muscles showed various results (Table 4).

Table 4.

Comparison of ultrasonographic trunk muscle parameters between the high- and low-risk fall groups classified according to Berg Balance Scale

	High-risk fall group (n=19)	Low-risk fall group (n=36)	p-value
Rectus abdominis
NPS thickness (mm)	6.94±2.20	7.95±2.23	0.117
PS thickness (mm)	6.86±2.45	7.81±2.36	0.103
NPS contractility	1.23±0.13	1.16±1.10	0.061
PS contractility	1.10±0.09	1.10±0.10	0.852
Contractility ratio	1.11±0.09	1.06±0.06	0.001^**
External oblique
NPS thickness (mm)	3.09±1.27	3.86±1.12	0.011^*
PS thickness (mm)	3.12±1.08	3.79±0.95	0.008^*
NPS contractility	1.32±0.19	1.26±0.19	0.193
PS contractility	1.15±0.13	1.17±0.15	0.710
Contractility ratio	1.15±0.16	1.07±0.08	0.048^*
Internal oblique
NPS thickness (mm)	6.06±1.79	7.05±2.36	0.159
PS thickness (mm)	5.73±1.83	6.88±2.14	0.037^*
NPS contractility	1.37±0.14	1.27±0.14	0.044^*
PS contractility	1.17±0.13	1.20±0.13	0.381
Contractility ratio	1.16±0.14	1.05±0.07	<0.001^**
Transversus abdominis
NPS thickness (mm)	2.91±1.36	3.30±1.34	0.125
PS thickness (mm)	2.76±1.34	3.13±1.26	0.172
NPS contractility	1.57±3.55	1.65±0.51	0.979
PS contractility	1.28±0.27	1.51±0.47	0.026^*
Contractility ratio	1.25±0.33	1.09±0.14	<0.001^**
Erector spinae
NPS thickness (mm)	33.7±4.27	39.5±6.15	0.001^**
PS thickness (mm)	33.9±4.02	38.1±6.55	0.019^*
NPS contractility	1.20±0.13	1.18±0.09	0.818
PS contractility	1.10±0.07	1.14±0.09	0.028^*
Contractility ratio	1.10±0.07	1.04±0.04	0.002^**

Values are presented as mean±standard deviation.

Value of NPS thickness and PS thickness was measured on resting state.

NPS, non-paretic side; PS, paretic side.

^* p<0.05,

^** p<0.01 by Mann-Whitney U-test.

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DISCUSSION

Proper balance is essential for normal body function. To maintain balance, when a destabilizing force is applied under a gravitational field, the center of gravity must be positioned perpendicular to the center of the support base [26,27]. Changes in the center of gravity or support base require the coordinated activity not only from lower extremity muscles but also from trunk stability muscles to restore the force equilibrium and to preserve balance [3]. In this imbalanced state, trunk stability involves maintaining both resting or contraction state and performing various dynamic movements, which are related to adequate contraction of the muscles [28]. Based on this, we evaluated not only the thickness of various muscles as a static parameter, but also contractility and contractility ratio as dynamic components and attempted to apply the contractility ratio as a diagnostic tool for rehabilitative ultrasound imaging to reflect the difference between both sides.

Balance is dominated by various proper senses including proprioception and by trunk motor power as well as the power of the upper and lower extremities [29]. We selected patients with MMT grade ≥4, without sensory disturbance of light touch and pain in upper and lower extremities, to minimize the influence from limb dysfunction. To focus on the relationship between balance and contraction ability of trunk muscles, proprioception was not considered as a variation, because it is the main factor that can directly affect positioning of trunk muscles [1]. In addition, we recruited stroke patients in acute phase to reduce the effect of atrophy and intramuscular fat deposition, which start to occur at 3 weeks to 6 months after stroke and are clearly observed more than 6 months after stroke [30-32].

Analysis of paretic and the non-paretic sides showed that most parameters were different between sides. Specifically, contraction thickness and contractility, which reflect the dynamic function of trunk muscles, were significantly lower on the hemiparetic side. While resting thickness, which is a static parameter, showed no side-to-side difference in RA and EO, it was significantly different in IO, TA, and ES. In a previous study examining the thickness of abdominal muscles, it was reported that the difference of resting thickness between the two sides of the body depends on gender, dominant hand, and the type of muscle [33,34]. This suggests that the side-toside symmetry of resting thickness of abdominal muscle appears to be diverse between individuals and muscles. Therefore, to observe side-to-side differences of trunk muscles, parameters that reflect the ability of contraction other than resting thickness should be measured. Our results also show the importance of dynamic parameters, noting that contraction thickness and contractility of RA and EO were significantly different while resting thickness of the same muscles did not display any difference.

Unlike limb muscles, the innervation of the trunk muscles is supplied from both cerebral hemispheres so that over time, atrophy and intramuscular fat deposition occurs in both sides. In studies conducted on stroke patients in chronic phase to examine bilateral lateral abdominis, it appeared that contraction thickness on paretic and the non-paretic sides was different only in TrA [35]. This inconsistency with our results is assumed that the patients enrolled in this study were influenced by the affected central nervous system only before the change of muscle structure occurred because they were in acute phase at the time of evaluation.

Regarding the correlation between balance scales and ultrasonographic parameters, a significant relationship between contractility ratio and all balance scales was found for all muscles. When all data were analyzed, only contractility ratio was associated with all muscles and all balance scales, whereas other parameters did not show consistent results. Similarly, in the patient groups classified by the degree of fall risk according to the BBS score, only contractility ratio showed a difference in all trunk muscles. In hemiparesis patients, the power difference in limb muscle of the two sides is positively correlated with balance disturbance. Decreased power of individual trunk motion is hard to be recognized in the clinic, especially when patients present with relatively preserved motor function in the affected limb. Mild stroke patients are often recruited to early rehabilitation programs and face balance disturbance that is not expected based on their good motor function. However, it had been complicated to measure the motor function of the two sides of the trunk muscles and compare them quantitatively. Based on our results, a clear contractility difference of trunk muscles can be measured with ultrasonography, so that the veiled risk of falls can be detected before and during the rehabilitation program.

The mechanism of selective action of the trunk muscles according to muscle layer and muscle type has not been examined sufficiently in the balance of stroke patients. In this study, there are several significant results regarding individual muscles. For the abdominal muscles, there is a significant correlation between non-paretic side contractility of RA and IO, and balance scales. A normal pattern of increasing order of mean abdominal muscle thickness is TrA<EO<IO<RA [36]. Considering that contractility of the paretic side does not correlate with balance in all other abdominal muscles, it is possible that mild stroke patients adjust their balance under the influence of the relatively thicker abdominal muscles, such as RA and IO, at the non-paretic side. On the other hand, paretic side contractility of ES showed a significant correlation with balance scales. These results suggest that compensatory function of non-paretic side is important in the abdominal muscles to maintaining trunk balance, whereas decreased function of ES in the paretic side acts as a deterrent to the overall balance. Furthermore, the contractility ratio of ES is related to balance in stroke patients, and all parameters of ES, except for non-paretic side contractility, showed a significant difference between the two fall risk groups. Kasukawa et al. [37] found that elderly fall patients had significantly lower levels of maximal back extensor strength than non-fall patients. Karatas et al. [3] showed that both trunk flexion and extension motor power in unihemispheric stroke patients interferes with balance, stability, and functional disability. This result is consistent with this study and indicates the importance of back extensor, which affects balance and fall risk. The majority of ultrasonographic research related to the trunk muscle of stroke patients is limited to the assessment of abdominal muscles. A few studies only compared thickness of the muscle at the paretic and the non-paretic sides using ultrasonography. To the best of our knowledge, no study has measured paraspinal muscles together with abdominal muscles using ultrasound, when evaluating the balance of stroke patients. Considering that measuring the dynamic thickness of paraspinal muscles with ultrasonography is simple and convenient, it should be included when evaluating trunk muscles for balance function; in addition, ES is reasonable to be selected among paraspinal muscles, because it affects extension strength and is more reliably measured than the multifidus [38].

There are several limitations to our study. First, appropriate continuous follow-up evaluation should have been included periodically, but it was limited only to the cross-sectional study. We recommend that future studies seek appropriate training directions by measuring the balance scale and contractility ratio periodically after physical therapy. Second, because the patients were acute patients, they were immediately out of absolute bed rest state, so function and mobility were reduced, and the balance scale may have been under-estimated. Third, despite sufficient explanation and resting time between performances, elderly patients had difficulty in performing instructed movements during contraction, which may have resulted in lower values of contractility and resting thickness than those expected, because maximal muscle contraction cannot be achieved when patients perform a movement. Fourth, influence of proprioceptive dysfunction was not clearly demonstrated because proprioception was not a criterion for participant recruitment. Further studies are required to examine the effect of proprioceptive dysfunction on trunk motion and balance.

In conclusion, the contractility ratio in stroke patients reflects their balance disturbance and fall risk. It can serve as a new parameter for ultrasound imaging of trunk muscles. Resting thickness alone is not sufficient to assess the function of trunk muscles. Ultrasonographic trunk measurement is an easy-to-use and reliable evaluation tool that can be used periodically and provides a guide to set quantitative goals for patients who want to improve their balance.

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Notes

No potential conflict of interest relevant to this article was reported.

Conceptualization: Kim Y, Han N, Jung SH. Methodology: Kim Y, Han N. Formal analysis: Kim Y, Kim J. Project administration: Kim Y, Kim J. Visualization: Kim Y, Kim J, Nam H. Writing - original draft: Kim Y. Writing - review and editing: Han N, Kim HD, Eom MJ. Approval of the final manuscript: all authors.

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