Literature DB >> 33545992

Shear wave elastography of the tibial nerve in healthy subjects.

Mohamed A Bedewi1, Ayman A Elsifey1, Tariq Alfaifi1, Mamdouh A Kotb2,3, Mohamed S Abdelgawad4, Abdelmohsen Mohamed Bediwy5, Sherine Mohamed Swify6, Ezzat M Awad7.   

Abstract

ABSTRACT: The purpose of this study is to investigate sonoelastographic features of the tibial nerve.The study included 72 tibial nerves in 36 healthy subjects. High resolution ultrasound and Shear wave elastography were used to evaluate the tibial nerve. Cross sectional area and stiffness were measured.The mean cross sectional area of the tibial nerve was 13.4 mm2. The mean shear elastic modulus of the tibial nerve in the short axis was 23.3 kPa. The mean shear elastic modulus of the tibial nerve in long axis was 26.1 kPa. The tibial nerve elastic modulus also showed no correlation with cross sectional area neither in the long axis nor short axis. Age, height, weight, and body mass index showed no correlation with tibial nerve elastic modulus in short or long axes.The elastic modulus of the tibial nerve has been determined in healthy subjects and can serve as a reference for future assessment of polyneuropathy.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 33545992      PMCID: PMC7837829          DOI: 10.1097/MD.0000000000023999

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Peripheral nerve disorders pathologies are commonly encountered in clinical practice. Electrodiagnostic studies have been the main diagnostic modality used for the diagnosis of peripheral nerve disorders especially neuropathies. However, these studies are invasive and time consuming. Over the last twenty years, conventional ultrasound gained popularity as a complimentary tool for the diagnosis for different peripheral nerve disorders. In addition to shorter acquisition time and less discomfort, advantages of ultrasound include wide availability, cheap price, and non-invasive nature.[ Conventional ultrasound can quantify cross sectional area (CSA) of the peripheral nerves and can also detect some morphological changes like alteration in the nerve echogenicity.[ Conventional ultrasound was reported to be of great benefit in the diagnosis of different acquired and hereditary neuropathies. In cases of peripheral neuropathy, there is associated increase of the intraneural pressure, nerve edema, and micro-vascular compromise. This could end with demyelination and functional deterioration of the nerve.[ These histological changes are not detected by conventional ultrasound. Elastography was described in the early 1990 s to provide information about tissue stiffness. Elastography was reported to provide more detailed information about biomechanical and elastic properties of peripheral nerves. Recent literature reported that nerve stiffness tend to increase in the setting of peripheral neuropathy.[ In spiteof this, still elastography is not highly indicated in clinical practice for evaluation of the peripheral nerves. Two types of elastography are present at the moment. The first is strain elastography, where tissue displacement is evaluated by mild compression by the probe to estimate the tissue stiffness, resulting in color scaled qualitative and semi quantitative evaluation of elasticity. The other type is shear wave elastography (SWE), where a probe-induced pulse propagates through the tissue of interest waves in a shear manner and presented in kilopascals (kPa, Young modulus). One important advantage of SWE is quantitative results. The other advantage is reproducibility and being less operator-dependent than strain type. SWE is now widely used in evaluating liver fibrosis, breast and thyroid masses. There is now special interest to use SWE for evaluation of the neuromuscular system.[ Several studies were conducted to evaluate common types of neuropathies by SWE. Most of the studies performed on carpal tunnel syndrome (CTS) used the median nerve for elastographic evaluation. In diabetic polyneuropathy, the median nerve and the tibial nerves are used for ease of accessibility and standard imaging technique.[ The tibial nerve originates from L4-S3 spinal nerve roots and provides sensory and motor innervation to most of the posterior aspect of the leg and foot. It is the larger distal extension of the sciatic nerve, the largest nerve of the body. A significant degree of anatomical variation can be seen with the sciatic nerve which may lead to many relevant clinical considerations. It arises in the popliteal fossa and then continues down the leg posterior to the tibia. At the foot, it passes postero-inferior to the medial malleoulus through the tarsal tunnel, and terminates by dividing into the sensory branches. The main branches of the tibial nerve include the medial calcaneal nerve, the medial sural cutaneous nerve, the lateral and medial plantar nerves. The tibial nerve is involved in different types of neuropathies. Knowledge of the anatomical details together with biomechanical properties will help in the assessment and management of such disorders. Tibial nerve blockade is also important for surgeries around the knee like arthroplasty and could help in managing postoperative pain and recovery. [ The aim of this work is to study the sonoelastographic features of the tibial nerve at the popliteal fossa.

Methods

Participants

72 tibial nerves were evaluated in 36 healthy adult subjects. After institutional review board approval, participants of the study were recruited between September 2019 and October 2019, and written consent was obtained. Only those without peripheral neuropathy, no history of numbness or limb pain, weakness, or paresthesias, in the lower limbs were included. For each participant, data including sex, age, weight, body mass index (BMI) and height were recorded. Subjects enrolled in this study were free from any diseases related to neuromuscular system, as indicated by and clinical examination and electrophysiologic methods.

Technique

Ultrasound examinations were performed by using an 18 to 5 MHz linear-array transducer (Aixplorer; Mach 30, Aix enProvence, France). A radiologist (M.B, 19 years of experience) performed all examinations, images were reviewed by neurologist (A.E. 10 years’ experience). All the participants were examined with hip abducted and externally rotated, with the knee in semi-flexed position. The tibial nerve was first identified in short axis (SA) in the popliteal fossa in relation to the popliteal vessels, and then the CSA was measured in mm2. For the SWE measurements, each subject was scanned 3 times with removal of the probe from the skin between measurements. To increase the reliability of the reported stiffness values, a confidence map was used to mask areas below a specific confidence level. Large amount of gel was used with light touch of the probe to decrease pressure effect on the skin. First the tibial nerve was identified in SA and SWE measurements were taken, then the probe was rotated 90 degrees to acquire longitudinal SWE measurements. In each exam, and after identifying the nerve, the probe was held stationary for 3 to 4 seconds and a 2 mm diameter region of interest (ROI) circle was placed within the hyperechoic epineurium. Real time shear wave images were recorded with color coding. The readings consisted of minimum elasticity (min), maximum elasticity (max), and mean elasticity (mean) with standard deviation (SD) and were reported in kPa. The spectrum of scale colors range from blue for softer tissues through red for stiffer tissues (Figs. 1 and 2)
Figure 1

Short-axis view shear wave elastography of the tibial nerve, with color map, minimum, maximum, and mean stiffness in kPa.

Figure 2

Long axis view shear wave elastography of the tibial nerve, with color map, minimum, maximum, and mean stiffness in kPa.

Short-axis view shear wave elastography of the tibial nerve, with color map, minimum, maximum, and mean stiffness in kPa. Long axis view shear wave elastography of the tibial nerve, with color map, minimum, maximum, and mean stiffness in kPa.

Electrophysiologic methods

Nerve conduction studies were performed with Nihon-Cohden Neuropack device. All studies were performed under standard room temperature of 25°C. Hand temperature was maintained at ≥32°C. Electrodiagnostic studies were performed on both hands and feet in all subjects by an expert neurologist.

Statistical analysis

Statistical analysis was performed using Statistical Package for the Social Sciences version 21 software (SPSS Inc., Chicago, IL). Data were presented as mean ± standard deviation and range. Intra-observer variability was measured using Kohen's Kappatest. Independent sample test was used to assess the differences between mean elasticity of the right and left tibial nerves. The correlations between the mean elasticity bilaterally and age, weight, height, and BMI were calculated by Pearson correlation coefficient test.

Results

The study included 72 tibial nerves in 36 healthy adult subjects, with a mean age of 33.2 ± 6.5 [range 20–46], mean height 160.8 cm ± 10.1 [range 149–193], mean weight 64.1 kg ± 14.6 [range 45–125], mean BMI 24.9 ± 3.7 [range 17.3 -33.6]. The mean cross sectional area of the tibial nerve was 13.4 mm2 [range 7–32 ± 4.9]. The mean shear elastic modulus of the tibial nerve in the SA was 23.3 kPa [range 9.2- 39.6 ± 7.2]. The mean shear elastic modulus of the tibial nerve in long axis (LA) was 26.1 kPa [range 12–50.3 ± 6.4]. Table 1 shows the demographic characteristics of study participants. Table 2 shows the CSA and stiffness values of the tibial nerve. The intra-observer reliability calculations resulted in an overall intra-class correlation coefficient of 0.78. No statistical differences were noted between the right and left sides regarding the CSA (P = .707), shear wave elastic modulus of the tibial nerve in SA (P = .054), and shear wave elastic modulus of the tibial nerve in the LA (P = .101).
Table 1

The demographic characteristics of study participants (mean ± standard deviation).

Mean ± SDNo%
Age in year33.26.5
Gender
 Male1541.7
 Female2158.3
Height (Cm)160.810.1
Weight (Kg)64.114.6
Body mass index24.93.7
Table 2

CSA and stiffness values of the tibial nerve (mean ± standard deviation).

MinimumMaximumMean ± SD
Tibial CSA73213.44.9
Tibial SA9.239.623.37.2
Tibial LA12.250.326.16.4
The demographic characteristics of study participants (mean ± standard deviation). CSA and stiffness values of the tibial nerve (mean ± standard deviation). The CSA of the tibial nerve correlated positively with weight (P < .011), BMI (P < .001), and age (P < .002). No correlation was noted between CSA and height in our study. No statistical relation could be noted between elasticity measurements in long and short axes. The tibial nerve elastic modulus also showed no correlation with CSA neither in the LA nor SA. Age, height, weight, and BMI showed no correlation with tibial nerve elastic modulus in short or long axes. Table 3 shows the correlation between the CSA, stiffness, and demographic characteristics in our study.
Table 3

Correlations between demographic factors, cross sectional area, and stiffness in the long and short axes.

Tibial CSATibial SATibial LA
Age
 Pearson Correlation.353.035−.162
 Sig. (2-tailed).002.768.173
 N727272
Height
 Pearson Correlation.045−.052.110
 Sig. (2-tailed).707.663.357
 N727272
Weight
 Pearson Correlation.299.007.177
 Sig. (2-tailed).011.956.136
 N727272
BMI
 Pearson Correlation.374.055.118
 Sig. (2-tailed).001.645.323
 N727272
Tibial CSA
 Pearson Correlation1.064−.008
 Sig. (2-tailed).595.948
 N727272
Tibial SA
 Pearson Correlation.0641.093
 Sig. (2-tailed).595.437
 N727272
Tibial LA
 Pearson Correlation−.008.0931
 Sig. (2-tailed).948.437
 N727272
Correlations between demographic factors, cross sectional area, and stiffness in the long and short axes.

Discussion

We studied the tibial nerve in healthy adult subjects by SWE. The relationship between elasticity and height, weight, body mass index, gender, were also studied. Conventional ultrasound is widely used in the diagnosis of peripheral nerve disorders, and can clearly depict the echotexture and the (CSA) of peripheral nerves. However, sometimes there is no statistical difference between the CSA in diseased nerves with neuropathy, and the control group.[ With the addition of SWE assessment to CSA measurements great value was added in these cases and helped in the diagnosis and assessment of disease progression.[ The stiffness of the tibial nerve was found to be higher patients with diabetes with and without diabetic polyneuropathy.[ The CSA measurements of the tibial nerve obtained in our study (13.4 mm2 ± 4.9) are comparable to most of published research except for Wei et al (28 mm2 ± 0.04) and Cartwright et al (35.3 mm2 ± 10.3) who obtained larger CSA measurements for the tibial nerve at the popliteal fossa.[ The mean stiffness of the tibial nerve in the longitudinal axis in our study was (26.1 ± 6.4 kPa), which was slightly lower than Jiang et al (32.8 ± 7.1 kPa), Dikici et al (29.3 ± 7.1kPa), and He et al (3.64 ± 0.49 m/s).[ Aslan et al showed lower mean stiffness values in the SA than our study (16.89 kPa) with a cutt-off value of (17.1 kPa).[ In the LA Aslan et al showed a mean stiffness of (48.72 kPa) and a cutt-off value of (91.86 kPa), which is significantly higher than our study and other reports by Dikici et al and He et al who suggested (50.52 kPa) as a reasonable cutt-off value for the diagnosis of mild neuropathy. [ Side to side analysis revealed no significant difference of nerve stiffness, coinciding with Dikici et al and He et al. Dikici et al also showed no difference between both sexes matching with our results. Age did not correlate with nerve stiffness in our study which is also compatible with Dikici et al. Most of the studies considering the tibial nerve SWE, used LA SWE measurements only, except for Aslan et al, who used both axes. Our study showed difference between short and long axes SWE measurements, however, this was not statistically significant. Aslan et al showed a statistically significant difference between both axes.[ Several challenges are faced when using SWE for assessment of the peripheral nerves. Nerve stiffness can vary substantially with different limb positions and different magnitudes in the lower limb.[ Also repetitive compression of the nerve could occur due to close proximity to bone.[ As described above, although LA SWE measurements are more appropriate and reproducible, however, examination in the LA SWE could be challenging in obese patients, and also in the brachial plexus.[ This study has several limitations. Small sample size decreases the accuracy of elasticity measurements. In our study we measured the tibial nerve in the popliteal fossa explaining differences in the mean CSA measurements. Future studies on a large sample size, could help to increase the validity of measurements. These further studies should include studying the elasticity in patients with polyneuropathies and comparing them to the elasticity of the normal tibial nerve. We believe that in order to establish cut-off limits for discriminating normal healthy nerves from diseased ones, knowledge of the elasticity values is necessary. In conclusion, we believe that SWE of the tibial could be a useful future tool to aid in the studying change of the stiffness of the tibial nerve in different pathologies for diagnostic and therapeutic purposes.

Acknowledgments

The authors are grateful to the deanship of scientific research at Prince Sattam bin Abdulaziz University.

Author contributions

Conceptualization: Mohamed Abdelmohsen Bedewi, Ayman A Elsifey, Abdelmohsen Mohamed Bediwy, sherine Mohamed Swify, Ezzat M Awad. Data curation: Mohamed Abdelmohsen Bedewi, Ayman A Elsifey. Formal analysis: Mohamed Abdelmohsen Bedewi. Investigation: Mohamed Abdelmohsen Bedewi, Tariq Alfaifi, Mamdouh A Kotb. Methodology: Mohamed Abdelmohsen Bedewi, Ayman A Elsifey, Mamdouh A Kotb. Project administration: Mohamed Abdelmohsen Bedewi. Resources: Mohamed Abdelmohsen Bedewi. Supervision: Mohamed Abdelmohsen Bedewi, Ayman A Elsifey, Tariq Alfaifi, sherine Mohamed Swify, Ezzat M Awad. Validation: Mohamed Abdelmohsen Bedewi, Tariq Alfaifi, sherine Mohamed Swify. Visualization: Ayman A Elsifey, Tariq Alfaifi, Mohamed S Abdelgawad, Abdelmohsen Mohamed Bediwy, sherine Mohamed Swify. Writing – original draft: Mohamed Abdelmohsen Bedewi. Writing – review & editing: Mohamed Abdelmohsen Bedewi.
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3.  Assessment of Peripheral Nerves With Shear Wave Elastography in Type 1 Diabetic Adolescents Without Diabetic Peripheral Neuropathy.

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4.  Shear Wave and Strain Elastographic Features of the Brachial Plexus in Healthy Adults: Reliability of the Findings-a Pilot Study.

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Review 5.  Use of Ultrasound Elastography in the Assessment of the Musculoskeletal System.

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Review 7.  Current status of musculoskeletal application of shear wave elastography.

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8.  Median nerve evaluation by shear wave elastosonography: impact of "bone-proximity" hardening artifacts and inter-observer agreement.

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9.  Clinical utilization of shear wave elastography in the musculoskeletal system.

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Review 10.  Ultrasound elastography as a potential method to evaluate entrapment neuropathies in elite athletes: a mini-review.

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