Skip to main content

Role of nerve ultrasound versus electrophysiological studies in the evaluation of nerve injuries



High-resolution ultrasonography (US) is a non-invasive, readily applicable imaging modality capable of depicting real-time static and dynamic information concerning the peripheral nerves and their surrounding tissues. Although electrophysiological studies are the gold standard in the evaluation of nerve injuries, US can be used also to evaluate the morphological changes of nerve injuries.


To evaluate the role of the high-resolution US in the assessment of nerve injuries and to compare it to the role of electrodiagnostic studies.

Subjects and methods

A total of 30 nerves from 22 consecutive patients with clinically definite nerve injury were considered. Two independent and blinded clinicians perform electrodiagnosis and US. The clinical, neurophysiological, and US findings were collected, and the contribution of US was then classified as “ contributive” or “non-contributive”, according to whether US confirmed the clinical and neurophysiological diagnosis or not.


US was “contributive” (confirming the electrophysiological diagnosis) in 66.67% of cases (n = 20), providing information about continuity of the nerve, morphological changes after injury as swelling, scar tissue formation, or neuroma formation with sensitivity of 75% compared to the electrodiagnostic studies and accuracy of 66.67%.


Ultrasound can be used, when available, as a complementary tool for electrodiagnostic studies to provide anatomical information about the injured nerves in case of complete axonal lesion.


Traumatic peripheral nerve injuries are common in clinical practice. The type of peripheral nerve injury is a key factor for determining optimal treatment [1].

Though clinical evaluation and electrophysiological studies remain a mainstay in the initial detection and diagnosis of peripheral nerve pathologies, US is playing complementary and growing roles in the overall clinical workup, localizing focal injury and entrapment and potentially obviating invasive nerve conduction studies [2].

Electrophysiology is still the clinical “gold standard” for nerve assessment, but rapidly accumulating literature exist comparing this modality with US. While electrophysiological studies provide important diagnostic data in evaluating the relative location and degree of nerve dysfunction, they are limited in their ability to identify morphological changes associated with a particular type of nerve injury. US can reliably provide this information, and it does so in a painless manner, as compared to electrodiagnostic studies [3].

Subjects and methods

This is a cross-sectional study that was carried out on 30 nerves of 22 patients with history of peripheral nerve injuries. They were recruited from the clinical neurophysiology unit at Kasr Al Ainy hospitals, Cairo University. All of them gave informed consent to the study. The study included both genders, with an age range between 16 and 59 years. They all had a clinical picture of peripheral nerve injury in the upper or lower limbs of less than 2 months duration. We excluded patients with diabetes mellitus, polyneuropathies, renal or hepatic disorders, or radiculopathy (clinical or electrophysiological in the segment supplying the injured nerve).

All patients were subjected to thorough history taking and clinical examination of the limbs to detect the motor manifestations especially weakness or atrophy. Power of the muscles was examined according to the Medical Research Council (MRC) scale (Appendix 1).

The electrophysiological studies were carried out using Nihon Kohden; Neuropak MEB-9200G/K EP/EMG measuring system (Neuropak M1) version 08.1, Japan. Routine motor nerve conduction studies (NCS) recording from the injured nerve were abductor pollicis brevis; stimulating wrist and ante-cubital fossa for median nerve, abductor digiti minimi; stimulating wrist, below and above elbow for the ulnar nerve, extensor indicis proprius; stimulating forearm and elbow for the radial nerve and extensor digitorum brevis; stimulating ankle, below and above neck of fibula for the peroneal nerve.

Routine sensory NCS recording second digit (antidromic stimulation at wrist for the median nerve), fifth digit (antidromic stimulation at wrist for the ulnar nerve), anatomical snuff box (antidromic stimulation at wrist for the superficial radial nerve) and ankle 14 cm proximally in the anterolateral side of the leg for the superficial peroneal nerve.

Needle electromyography (EMG) was performed for the muscles supplied by the affected nerve using concentric needle, starting distally then proximally for leveling of the injury. EMG examination was also performed for the adjacent muscles to exclude multiple nerve injuries.

The sonographer was blinded for clinical and neurophysiologic results. The studies were performed with a high-frequency 5–17-MHz linear probe of a Philips Diagnostic US System (model iU22), Canada. Ultrasonographic examination was performed also to the normal unaffected side to compare the normal and injured nerves. The normal and injured nerves were visualized in longitudinal and transverse planes to confirm identification of the nerve. The shape of the injured nerve was determined if there was neuroma, fibrosis, edema, or distortion of the nerve. The cross-sectional area (CSA) of the nerve was measured proximal to the site of the injury. It was measured by means of a direct tracing method using the inner margin of the hyperechoic sheath as the margin of the nerve. We searched for the continuity of the nerve, presence or absence of fibrosis, distortion, or neuroma formation.

Statistical methods

Data were coded and entered using the statistical package SPSS, version 25; SPSS Inc., Chicago, IL, USA, for the year 2017. Numerical data were summarized using means and standard deviations or medians and ranges. Data were explored for normality using Kolmogorov-Smirnov test and Shapiro-Wilk test. Categorical data were summarized as percentages. Comparisons between the two groups with respect to normally distributed numeric variables were done using the independent t test. Non-normally distributed numeric variables were compared by Mann-Whitney test. For categorical variables, differences were analyzed with χ2 (chi-square). ANOVA test were used to compare three groups (shape of nerve). Spearman rho correlation was used to assess correlation between different variables. All p values were two-sided and values ≤ 0.05 were considered significant.


The age of the subjects ranged from 16 to 53 years, with a mean age of 28.8 ± 11.1 years. There were 21 males (95.5%) and 1 female (4.5%). The duration of injury of the involved nerves ranged between 20 and 60 days, with a mean of 47.1 ± 12.2 days.

We examined the sensation of 30 nerves and the power of the muscles supplied by these nerves. Results are shown in Table 1.

Table 1 Power of the muscles and sensations of the dermatomes of the affected nerves

Nerve trauma was caused in the majority of cases by cut injury. These constituted 20 nerves, 66.7% of the total involved nerves. The remaining injured nerves were caused by limb traction (16.7%), post-operative injury (6.7%), after fractures (6.7%), and compression injury (3.3%). Results of NCS and EMG are shown in Table 2.

Table 2 Results of nerve conduction studies and electromyography

Fourteen nerves (40%) showed complete axonal loss (neurotmesis), whereas 16 nerves (60%) showed partial axonal loss (axonotmesis). The shape and continuity of the examined nerves by US are demonstrated in Table 3. The types of injury and shapes of the injured nerve by US are shown in Table 4.

Table 3 Shape and continuity of the examined nerves by ultrasound
Table 4 Type of injury and shape of the injured nerve by ultrasound

The role of US in the diagnosis of nerve injuries was classified according to whether US supported the diagnosis done by electrodiagnostic studies (EDX) or not into “contributive”, when the US supported the diagnosis (this group included 20 nerves; 66.67%) and “non-contributive”, when the US did not support the diagnosis (this group included 10 nerves; 33.33%).

The relation between the diseased muscle power and the compound muscle action potential (CMAP) amplitude is illustrated in Fig. 1.

Fig. 1
figure 1

Relationship between compound muscle action potential amplitude and power of the supplied muscles

The correlation between the duration of injury and denervation potentials, morphology of motor unit potentials (MUPs), and shape of the injured nerve by US is demonstrated in Table 5.

Table 5 Correlation between duration of injury and denervation potentials, morphology of MUPs, and shape of the injured nerve by ultrasound

The correlation between the amplitude of the CMAP and continuity of the nerve by US is shown in Table 6.

Table 6 CMAP amplitude and continuity of the injured nerve by ultrasound

The correlation between the diagnosis of nerve injury by EDX and by high-resolution US is shown in Table 7.

Table 7 Diagnosis of nerve injury by electrophysiology and by ultrasound

The sensitivity of US in confirming the diagnosis of complete nerve injury was 75%. The specificity of US in the differentiation between complete and partial nerve injury was 61.1%. The accuracy (diagnostic effectiveness) of US was 66.67%.


Traumatic peripheral nerve injuries are common in clinical practice. The history, neurological examination, and electrodiagnostic tests are generally used to diagnose the cause. Aside from neurophysiological assessment, high-resolution US provides an increasing amount of complementary morphological information about nerves and their surrounding tissues [2].

Our study aimed at evaluating the role of US compared to EDX in nerve injuries. In our cases, the most commonly injured nerve was the ulnar nerve (36.67%). This went in accordance with Adiguzel and colleagues [4] who explained the ulnar nerve as the largest unprotected nerve in the body; it is entirely subcutaneous and lacks overlying protective osseous or muscular structures.

The most common cause of peripheral nerve injuries in the present study was cut injury by sharp objects (66.7%). This went in accordance with Uzun and colleagues [5], whereas Kouyoumdjian and colleagues [6] stated that the most common cause of peripheral nerve injuries was vehicular accidents.

In our study, muscle power was ≥ 2 in muscles supplied by the affected nerves in 26.3–72.7% of nerves with decreased or absent CMAP, respectively. Şahin and colleagues [7] examined 50 nerves with traumatic nerve injuries to the wrists and found the same findings in 75–79% of patients with decreased or absent CMAP, respectively. This was explained by the fact that hand function requires the combined action of different muscles. EDX obtained from only one muscle could not be attributed to the overall function.

Upon combining EMG examination, we could detect denervation potentials in the form of fibrillation potentials and positive sharp waves at rest in the affected muscles of the injured nerves in 66.7% of nerves. Campbell [8] and Robinson [9] stated that with motor axonal loss, fibrillation potentials and positive sharp waves appear after 10–14 days in muscles near the injury site and after 3–4 weeks in more distal muscles and these potentials are recorded in the presence of even small degrees of axon loss.

With voluntary muscle activation, we detected abnormal neurogenic MUPs in 53.3% of nerves. These are explained by collateral sprouting following incomplete axonal loss. The surviving motor axons give off collateral sprouts from the nerve terminals near the muscle fibers that have lost their innervation to reinnervate muscle fibers within a matter of days to weeks. As remodeling continues, the surviving MUAPs develop complexity with an increased number of turns evolving into polyphasia [8].

There were no MUPs detected in 46.7% of nerves, as the nerve would be non-excitable distal to the injury with electrophysiologically complete lesion [8].

According to NCS and EMG findings, we classified nerve injuries into partial axonal loss (60%) and complete axonal loss (40%), whereas Padua and colleagues [10] studied 112 nerve lesions in 98 patients and classified nerve injuries according to EDX into pure conduction block (7.1%), partial axonal loss (59.8%). and complete axonal loss (33.1%). This could be due to higher number of participants in their study.

Ultrasound does not visualize the axons, myelin, and endoneurium but clearly recognizes the fascicles, perineurium, and epineurium. Based on the altered echogenicity of these three components, experts have tried to identify some of the peripheral nerve injury grades with US [11].

In this study, nerve injuries were divided by high-resolution US into three groups; edematous swelling in the nerve; fusiform in shape (36.7%); increased echogenicity inside the nerve; fibrosis (36.7%) or increased nerve caliber and hyperechogenic internal structure; and neuroma (26.6%). US also detected continuous nerves in 46.7% and discontinuous nerves in 53.3% of nerves. Koenig and colleagues [12] divided the findings of nerve injuries by US into five groups: normal, epineural fibrosis, intraneural fibrosis, neuroma/partial neuroma, and transection, whereas Extremite and colleagues [13] examined 36 patients with nerve injuries in the upper limbs and showed excellent capability in determining the type of injury, detection of proximal and distal nerve stump, foreign particles, stump neuroma, and perilesional excessive scar tissue formation.

We found no statistically significant difference between duration of injury and appearance of denervation potentials, morphology of MUPs, or shape of the injured nerve by US. This could be explained by the narrow range of the duration of injury (20–60 days). However, Campbell [9] reported that the electrodiagnostic picture depends on the time elapsed between the injury and the evaluation, and this point is an important one to be highlighted by clinicians and neurophysiologists during examination.

Tsukamoto and colleagues [14] reported that most articles focused on traumatic nerve injuries and did not address a correlation between US and EDX. So, we tried to highlight this point in our study. We concluded that there was no statistically significant difference between amplitude of CMAP and continuity of the nerve by US (p = 0.156). This goes in agreement with Campbell [8] who stated that the CMAP distal to the injury decreases in amplitude in “rough” proportion to the degree of axonal loss.

We found a statistically significant difference between diagnosis of nerve injury done by EDX and by high-resolution US regarding continuity of the nerve (p = 0.05). Also, Lauretti and colleagues [11] found that complete anatomical nerve interruption as described by Sunderland grade V can be quite easily recognized by US, while internal nerve damage with the epineurium in continuity (Sunderland grades III and IV) is more difficult to interpret.

The accuracy of US in detecting nerve continuity in our study was 66.67%. This was a bit less than the value obtained by Toia and colleagues [15] where it was 72.2%.

The sensitivity of US in detecting nerve continuity in our study was 75%, while it was 51.35% in the study done by Padua and colleagues [10] in which they examined 37 nerves diagnosed as complete injury and by US only 19 nerves appeared discontinuous, whereas the specificity of US in differentiating between complete and partial nerve injury in our study was 61.1%, and, to our knowledge, there was not a similar test found in the literature.


Our study concluded that electrophysiological studies are irreplaceable in the evaluation of nerve injuries and that US can be used only as a complementary diagnostic tool. We also found that US can be of value in visualization of the morphological abnormalities associated with nerve injuries, including swelling, scar tissue, and neuroma formation, especially in cases with complete axonal lesion, a finding that could not be evaluated by EDX.

Limitations of the study

The limitation of the study is the relatively small number of patients, besides having one female patient and one injured peroneal nerve in our sample.

Availability of data and materials

Not applicable



Compound muscle action potential


Cross-sectional area


Electrodiagnostic studies



MRC scale:

Medical Research Council scale


Motor unit potentials


Nerve conduction studies


Sensory nerve action potential




  1. Zhu J, Liu F, Li D, Shao J, Hu B. Preliminary study of the types of traumatic peripheral nerve injuries by ultrasound. Eur Radiol. 2011;21(5):1097–101.

    Article  Google Scholar 

  2. Mallon S, Starcevic V, Rheinboldt M, Petraszko A. Sonographic evaluation of peripheral nerve pathology in the emergency setting. Emerg Radiol. 2018;25(5):521–31.

    Article  Google Scholar 

  3. Bignotti B, Tagliafico A, Martinoli C. Ultrasonography of peripheral nerves: anatomy and pathology. Ultrasound Clin. 2014;9(3):525–36.

    Article  Google Scholar 

  4. Adiguzel E, Yaşar E, Tecer D, Güzelküçük Ü, Taşkaynatan MA, Kesikburun S, et al. Peripheral nerve injuries: long term follow-up results of rehabilitation. J Back Musculoskelet Rehabil. 2016;29(2):367–71.

    Article  Google Scholar 

  5. Uzun N, Tanriverdi T, Savrun FK, Kiziltan ME, Sahin R, Hanimoglu H, et al. Traumatic peripheral nerve injuries: demographic and electrophysiologic findings of 802 patients from a developing country. J Clin Neuromuscul Dis. 2006;7(3):97–103.

    Article  Google Scholar 

  6. Kouyoumdjian JA, Graça CR, Ferreira FM. Peripheral nerve injuries: a retrospective survey of 1124 cases. Neurol India. 2017;65(3):551.

    Article  Google Scholar 

  7. Şahin F, Atalay NŞ, Akkaya N, Ercidoğan Ö, Başakçı B, Kuran B. The correlation of neurophysiological findings with clinical and functional status in patients following traumatic nerve injury. J Hand Surg Eur Vol. 2014;39(2):199–206.

    Article  Google Scholar 

  8. Campbell WW. Evaluation of peripheral nerve injury. Eur J Pain Supplements. 2009;3(2):37–40.

    Article  Google Scholar 

  9. Robinson LR. How electrodiagnosis predicts clinical outcome of focal peripheral nerve lesions. Muscle Nerve. 2015;52(3):321–33.

    Article  Google Scholar 

  10. Padua L, Di Pasquale A, Liotta G, Granata G, Pazzaglia C, Erra C, et al. Ultrasound as a useful tool in the diagnosis and management of traumatic nerve lesions. Clin Neurophysiol. 2013;124(6):1237–43.

    Article  CAS  Google Scholar 

  11. Lauretti L, D’Alessandris QG, Granata G, Padua L, Roselli R, Di Bonaventura R, et al. Ultrasound evaluation in traumatic peripheral nerve lesions: from diagnosis to surgical planning and follow-up. Acta Neurochirurgica. 2015;157(11):1947–51.

    Article  Google Scholar 

  12. Koenig RW, Schmidt TE, Heinen PG, Wirtz CR, Kretschmer T, Antoniadis G, et al. Intraoperative high-resolution ultrasound: a new technique in the management of peripheral nerve disorders. J Neurosurg. 2011;114(2):514–21.

    Article  Google Scholar 

  13. Extremite Ü, Sinir P, Cerrahi Y, Intraoperatif T, Kullanlmas U. Ultrasound examination in the surgical treatment for upper extremity peripheral nerve injuries: Part I. In: Çokluk C, Aydin K, editors. Turkish Neurosurgery, vol. 17. Turkey: Samsun; 2007. p. 277–82.

    Google Scholar 

  14. Tsukamoto H, Granata G, Coraci D, Paolasso I, Padua L. Ultrasound and neurophysiological correlation in common fibular nerve conduction block at fibular head. Clin Neurophysiol. 2014;125(7):1491–5.

    Article  Google Scholar 

  15. Toia F, Gagliardo A, D’Arpa S, Gagliardo C, Gagliardo G, Cordova A. Preoperative evaluation of peripheral nerve injuries: What is the place for ultrasound? J Neurosurg. 2016;125(3):603–14.

    Article  Google Scholar 

Download references


Not applicable

Informed consent

Written informed consent was obtained from every participant involved in this research prior to the conduct of any study-related activities. All data were confidential and were not used outside the study. The patients had the rights to withdraw from the study at any time without giving any reason. All the cost of the investigations was afforded by the researchers.


No funding sources for this research has to be declared (financial or non-financial). Funding was provided by the researchers.

Author information

Authors and Affiliations



All authors contributed to the research idea and methodology. M.S. contributed to the data collection. H.E. and A.L. analyzed and interpreted the data. N.E. completed the first draft of the article. All authors contributed to drafting and revising the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Amira A. Labib.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the ethical committee of the Department of Neurology, Faculty of Medicine, Cairo University, on the 15th of October 2018, but Cairo University does not provide the approval reference number. All procedures performed in the study were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

MRC scale of muscle power.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elfayoumy, N.M., Elgendy, H.H., Saad, M.S.A. et al. Role of nerve ultrasound versus electrophysiological studies in the evaluation of nerve injuries. Egypt J Neurol Psychiatry Neurosurg 56, 33 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: