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DOI: 10.1055/s-0040-1713390
Is There an Association between Electroneuromyography and Ultrasound in the Diagnosis of Carpal Tunnel Syndrome?[*]
Article in several languages: português | EnglishAbstract
Objective To verify whether there is an association between the results of the severity in electroneuromyography and the positivity in ultrasound in the diagnosis of carpal tunnel syndrome.
Methods Sixty-eight patients were included in the study, 61 women and 7 men, with a mean age of 54.4 years. The ultrasound results (positive or negative) were crossed with the results of electroneuromyography (mild, moderate or severe), and the existence of association was verified.
Results One hundred and thirty-six hands with suspicion or symptoms of carpal tunnel syndrome were evaluated. Positive ultrasound diagnosis was observed in 72 hands and negative in 64; 123 hands presented positive electroneuromyography for carpal tunnel syndrome, and there were 13 negative results. The severe degree in electroneuromyography was prevalent.
Conclusion There was a statistically significant association between electroneuromyography and ultrasonography (p < 0.05), and ultrasound positivity was higher for more severe levels of carpal tunnel syndrome given by electroneuromyography.
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Introduction
Carpal tunnel syndrome (CTS) is the most common peripheral neuropathy due to compression of the median nerve in the carpal tunnel.[1] Diagnosis is usually made through clinical history and physical examination,[2] while electroneuromyography (ENMG) assists in the diagnostic confirmation of dubious cases and in the establishment of severity.[3]
Ultrasonography (US) was introduced as a diagnostic tool for CTS in the early 1990s[4] and was also used to diagnose some musculoskeletal disorders, such as ulnar nerve and fibular nerve neuropathy.[5] [6] [7] One of the typical findings related to CTS is the increase in the cross-sectional area of the median nerve proximal or distal to the compression site.[8] Other findings that can be identified by this examination are decreased echogenicity and nerve mobility, increased vascularization and anatomical variations of the median nerve, which may contribute to the compressive clinical picture. Electroneuromyography, in turn, is considered the diagnostic method of choice for people suspected of having peripheral neuropathies, providing additional information on myelin dysfunction and axonal loss.[9]
Studies directly comparing the classification of ENMG and US positivity for the diagnosis of CTS are scarce. Moreover, we observed in our clinical practice a large number of people with clinical picture compatible with CTS and results of divergent tests. Our study aims to verify whether there is an association between the results of the ENMG and the positivity of US in the diagnosis of CTS.
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Casuistry and Methods
An observational, cross-sectional, quali-quantitative study was conducted with evaluation of 68 patients scheduled consecutively in a 4-month period in a regional reference hand surgery outpatient clinic. All procedures were performed according to ethical standards determined by the Research Ethics Committee for research in human beings, and by the Helsinki Declaration of 1964. The free and informed consent form was obtained from all participants by signing a specific term.
The inclusion criteria were people of both genders, over 18 years of age, who presented, at the initial consultation, ENMG of upper limbs and US of wrist, both with diagnostic hypothesis of CTS. We excluded people with other neuropathies, previous wrist injuries, pregnant women, people with reports of tenosynovitis or tumors in the wrist, those with a known history of uncontrolled systemic comorbidities, and people with reports of current work activities with repetitive movements or hand vibration.
In relation to US, in our service, the medical team specialized in radiology and imaging diagnosis defines the sectional cutoff point of the median nerve suggestive of abnormality at 10 mm or more. The ENMG, in turn, is performed by the same neurologist specialized in electroneuromyographic studies, belonging to the clinical staff of the institution. The classification of ENMG is thus standardized: mild degree (alteration only of sensory conduction), moderate degree (alteration of sensory and motor conduction) and severe degree (altered sensory and motor conduction and signs of denervation to needle electromyography).
The qualitative characteristics were evaluated in all patients and described using absolute and relative frequencies. The quantitative variable age was described using summary measures (mean, standard deviation, median, minimum and maximum).
Seventy-six people were attended and 8 were excluded (1 with previous wrist trauma, 2 with uncontrolled diabetes, and 5 with previous wrist surgeries), totaling 68 participants included in this study.
[Table 1] shows the clinical characteristics of the 68 people who constituted our sample. Regarding gender, there were 61 women (89.7%) and 7 men (10.3%). The mean and standard deviation of age was 54.4 years ± 10.1. Regarding the employment situation, 24 people (35.3%) reported being retired or housewives, while 44 (64.7%) were in current work activity. Sixty-five people (95.6%) reported being right-handed and 3 (4.4%) left-handed. Regarding the side affected by symptoms,14 people reported symptoms only on the right (20.6%), 6 (8.8%) only on the left, and 48 (70.6%) reported bilateral symptomatology. When asked about comorbidities, 28 people (41.2%) denied having any comorbidities, while 24 (35.3%) reported having a systemic disease, and 16 (23.5%) 2 or more.
Variable |
Description (N = 68) |
---|---|
Age (years) |
|
mean ± SD |
54.4 ± 10.1 |
median (min.; max.) |
53.5 (35; 76) |
Gender, n (%) |
|
Female |
61 (89.7) |
Male |
7 (10.3) |
Profession, n (%) |
|
Housewife/retired |
24 (35.3) |
In work |
44 (64.7) |
Dominance, n (%) |
|
Right |
65 (95.6) |
Lefty |
3 (4.4) |
Affected side, n (%) |
|
Right |
14 (20.6) |
Left |
6 (8.8) |
Both |
48 (70.6) |
Comorbidities, n (%) |
|
One systemic disease |
24 (35.3) |
Two or more systemic diseases |
16 (23.5) |
No reported disease |
28 (41.2) |
The US results (positive or negative) were crossed with the results of the ENMG (mild, moderate, or severe) and the existence of association with the use of the Chi-squared test was verified. [10] Kappa [11] coefficients of agreement were calculated to verify the degree of agreement between US and ENMG, as well as diagnostic measures sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), to evaluate the prediction of CTS using US.
The SPSS for Windows version 20.0 software (IBM Corp., Armonk, NY, USA) was used to perform the analyses, and Microsoft Excel 2003 software (Microsoft Corp., Redmond, WA, USA) was used to tabulate the data. The tests were performed with a significance level of 5%.
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Results
Using the hand as a sampling unit, [Table 2] shows the crossing between US and ENMG, and the result of statistical tests and diagnostic measures. From the 136 hands evaluated, 123 presented positive ENMG for CTS and 13 presented a negative result. Regarding the classification of the ENMG, there were 19 mild (15.5%), 33 (26.8%) moderate, and 71 (57.7%) severe cases. From the 19 hands with mild degree ENMG, 12 (63.2%) had negative US for CTS and 7 (36.8%) had a positive result. In relation to the 33 hands with moderate degree ENMG, 19 (57.6%) had negative US for CTS and 14 (42.4%) positive. From the 71 hands with severe degree ENMG, 25 (35.2%) had negative US for CTS and 46 (64.8%) positive. Finally, from the 13 hands with negative ENMG (normal ENMG), 8 (61.5%) had negative US for CTS and 5 (38.5%) positive.
Variable |
US for CTS |
Total |
p |
Kappa |
Sensitivity |
Specificity |
PPV |
NPV |
|
---|---|---|---|---|---|---|---|---|---|
Negative (N = 64) |
Positive (N = 72) |
N = 136 |
95% CI |
95% CI |
95% CI |
95% CI |
95% CI |
||
ENMG |
0.036 |
||||||||
Normal |
8 (61.5) |
5 (38.5) |
13 |
||||||
Mild |
12 (63.2) |
7 (36.8) |
19 |
||||||
Moderate |
19 (57.6) |
14 (42.4) |
33 |
||||||
Serious |
25 (35.2) |
46 (64.8) |
71 |
||||||
ENMG |
0.271 |
0.058 |
54.5 |
61.5 |
93.1 |
12.5 |
|||
Normal |
8 (61.5) |
5 (38.5) |
13 |
(-0.046; 0.162) |
(45.2; 63.5) |
(31.6; 86.1) |
(84.5; 97.7) |
(5.6; 23.2) |
|
Altered |
56 (45.5) |
67 (54.5) |
123 |
||||||
ENMG |
0.045 |
0.150 |
57.7 |
62.5 |
83.3 |
31.3 |
|||
Normal/mild |
20 (62.5) |
12 (37.5) |
32 |
(0.003; 0.297) |
(47.6; 67.3) |
(43.7; 78.9) |
(72.7; 91.1) |
(20.2; 44.1) |
|
Moderate/severe |
44 (42.3) |
60 (57.7) |
104 |
||||||
ENMG |
0.004 |
0.248 |
64.8 |
60.0 |
63.9 |
60.9 |
|||
Normal/mild/moderate |
39 (60) |
26 (40) |
65 |
(0.085; 0.411) |
(52.5; 75.8) |
(47.1; 72.0) |
(51.7; 74.9) |
(47.9; 72.9) |
|
Serious |
25 (35.2) |
46 (64.8) |
71 |
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Discussion
In population-based studies, the prevalence of CTS is higher in women and increases with aging,[10] with an estimated involvement up to three times more than men.[11] This can be explained by the fact that women have a lower size cuff [12] and lower carpal tunnel elasticity, which can contribute to lower compliance and accommodation of structures.[13] [14] It is possible that women are predisposed to more rectified tunnels, which may also contribute to the development of CTS.[15] Based on these publications, our work is in agreement with the literature, with a high prevalence of CTS involvement in women.
In the United States, CTS is the third cause of work leave.[16] In our study, 35.3% of people with CTS reported being retired or housewives, while the majority reported being in current work activity.
Some risk factors for CTS include personal and family history, diabetes, obesity, hypothyroidism, pregnancy, and rheumatoid arthritis.[17] In our series, more than half of the people had at least one systemic comorbidity, and the most common among them were hypertension, diabetes and hypothyroidism.
The definition of the sectional cutoff point of the median nerve by US, suggestive of CTS, is controversial. Most articles set the value between 8 and 14 mm.[18] In our institution, the medical team stipulates the value equal to or greater than 10 mm as suggestive of abnormality. According to Özçakar et al.,[19] US has the advantage of being low-cost, user-friendly, noninvasive, portable, available in most health services and well tolerated by patients, an opinion also shared by Horng et al.[20] however, these authors indicate the examination as a complement to the ENMG. In contrast, Mhoon et al.[21] do not find a significant correlation between ultrasound parameters and electrophysiological severity, and conclude that US is not able to determine the severity of CTS. For Abrishamchi et al.,[22] US may be complementary, but not conclusive, in relation to the classification of CTS severity. According to Fowler et al.,[8] US and ENMG have diagnostic accuracy similar to clinical tests, but ENMG can diagnose other etiologies of paresthesia in the hands besides CTS, such as cervical radiculopathy, cubital tunnel syndrome and prone syndrome.[23] [24]
Our study demonstrated that there was a statistically significant association between ENMG and US (p < 0.05), and US positivity was higher for more severe levels of CTS given by ENMG. Certainly, this fact is related to the sensitivity and scope of the US method. Median nerve changes secondary to more advanced compression are detected, while the more subtle or initial ones are not. It is worth to discuss whether the decision of surgical indication can be made based only on US, since only severe cases were associated with ENMG.
Despite this association, US presented low agreement with ENMG (Kappa < 0.25) and diagnostic measures were mostly low for any groupings used in the severity of ten ENMG.
We agree with Fowler et al.[8] when they state that the comparison between US and ENMG cannot be considered reliable because there is no accepted reference standard. We also emphasize that both are tests that may be influenced by the examiner's experience in what is intended to be investigated.
We believe that decisions regarding the diagnosis of CTS can be made, initially, based on clinical history and thorough physical examination, directed at what is intended to be investigated.
#
Conclusion
We conclude that, despite the association with statistical significance between US and more severe levels of ENMG, the two tests did not present significant agreements for the diagnosis of CTS.
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Conflito de interesses
Os autores declaram não haver conflito de interesses.
* Work done in the Orthopedics and Traumatology Service, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil.
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Referências
- 1 Atroshi I, Gummesson C, Johnsson R, Ornstein E, Ranstam J, Rosén I. Prevalence of carpal tunnel syndrome in a general population. JAMA 1999; 282 (02) 153-158
- 2 Wang WL, Buterbaugh K, Kadow TR, Goitz RJ, Fowler JR. A Prospective Comparison of Diagnostic Tools for the Diagnosis of Carpal Tunnel Syndrome. J Hand Surg Am 2018; 43 (09) 833-836.e2
- 3 Sears ED, Swiatek PR, Hou H, Chung KC. Utilization of Preoperative Electrodiagnostic Studies for Carpal Tunnel Syndrome: An Analysis of National Practice Patterns. J Hand Surg Am 2016; 41 (06) 665-672.e1
- 4 Buchberger W, Schön G, Strasser K, Jungwirth W. High-resolution ultrasonography of the carpal tunnel. J Ultrasound Med 1991; 10 (10) 531-537
- 5 Kerasnoudis A, Tsivgoulis G. Nerve Ultrasound in Peripheral Neuropathies: A Review. J Neuroimaging 2015; 25 (04) 528-538
- 6 Simon NG, Talbott J, Chin CT, Kliot M. Peripheral nerve imaging. Handb Clin Neurol 2016; 136: 811-826
- 7 Hobson-Webb LD, Padua L. Ultrasound of Focal Neuropathies. J Clin Neurophysiol 2016; 33 (02) 94-102
- 8 Fowler JR, Cipolli W, Hanson T. A Comparison of Three Diagnostic Tests for Carpal Tunnel Syndrome Using Latent Class Analysis. J Bone Joint Surg Am 2015; 97 (23) 1958-1961
- 9 Wee TC, Simon NG. Ultrasound elastography for the evaluation of peripheral nerves: A systematic review. Muscle Nerve 2019; 60 (05) 501-512
- 10 Kirkwood BR, Sterne JA. Essential medical statistics. 2nd ed. Massachusetts, USA: Blackwell Science; 2006
- 11 Fleiss JL. The design and analysis of clinical experiments. New York: Wiley; 1986
- 12 Mondelli M, Giannini F, Giacchi M. Carpal tunnel syndrome incidence in a general population. Neurology 2002; 58 (02) 289-294
- 13 Sassi SA, Giddins G. Gender differences in carpal tunnel relative cross-sectional area: a possible causative factor in idiopathic carpal tunnel syndrome. J Hand Surg Eur Vol 2016; 41 (06) 638-642
- 14 Lakshminarayanan K, Shah R, Li ZM. Sex-related differences in carpal arch morphology. PLoS One 2019; 14 (05) e0217425
- 15 Bower JA, Stanisz GJ, Keir PJ. An MRI evaluation of carpal tunnel dimensions in healthy wrists: Implications for carpal tunnel syndrome. Clin Biomech (Bristol, Avon) 2006; 21 (08) 816-825
- 16 Brett AW, Oliver ML, Agur AM, Edwards AM, Gordon KD. Quantification of the transverse carpal ligament elastic properties by sex and region. Clin Biomech (Bristol, Avon) 2014; 29 (06) 601-606
- 17 Cobb TK, Dalley BK, Posteraro RH, Lewis RC. Anatomy of the flexor retinaculum. J Hand Surg Am 1993; 18 (01) 91-99
- 18 Barcenilla A, March LM, Chen JS, Sambrook PN. Carpal tunnel syndrome and its relationship to occupation: a meta-analysis. Rheumatology (Oxford) 2012; 51 (02) 250-261
- 19 Harris-Adamson C, Eisen EA, Kapellusch J. et al. Biomechanical risk factors for carpal tunnel syndrome: a pooled study of 2474 workers. Occup Environ Med 2015; 72 (01) 33-41
- 20 Tai TW, Wu CY, Su FC, Chern TC, Jou IM. Ultrasonography for diagnosing carpal tunnel syndrome: a meta-analysis of diagnostic test accuracy. Ultrasound Med Biol 2012; 38 (07) 1121-1128
- 21 Özçakar L, Kara M, Chang KV. et al. Nineteen reasons why physiatrists should do musculoskeletal ultrasound: EURO-MUSCULUS/USPRM recommendations. Am J Phys Med Rehabil 2015; 94 (06) e45-e49
- 22 Horng YS, Chang HC, Lin KE, Guo YL, Liu DH, Wang JD. Accuracy of ultrasonography and magnetic resonance imaging in diagnosing carpal tunnel syndrome using rest and grasp positions of the hands. J Hand Surg Am 2012; 37 (08) 1591-1598
- 23 Mhoon JT, Juel VC, Hobson-Webb LD. Median nerve ultrasound as a screening tool in carpal tunnel syndrome: correlation of cross-sectional area measures with electrodiagnostic abnormality. Muscle Nerve 2012; 46 (06) 871-878
- 24 Abrishamchi F, Zaki B, Basiri K, Ghasemi M, Mohaghegh M. A comparison of the ultrasonographic median nerve cross-sectional area at the wrist and the wrist-to-forearm ratio in carpal tunnel syndrome. J Res Med Sci 2014; 19 (12) 1113-1117
Endereço para correspondência
Publication History
Received: 26 August 2019
Accepted: 17 March 2020
Article published online:
09 October 2020
© 2020. Sociedade Brasileira de Ortopedia e Traumatologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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Referências
- 1 Atroshi I, Gummesson C, Johnsson R, Ornstein E, Ranstam J, Rosén I. Prevalence of carpal tunnel syndrome in a general population. JAMA 1999; 282 (02) 153-158
- 2 Wang WL, Buterbaugh K, Kadow TR, Goitz RJ, Fowler JR. A Prospective Comparison of Diagnostic Tools for the Diagnosis of Carpal Tunnel Syndrome. J Hand Surg Am 2018; 43 (09) 833-836.e2
- 3 Sears ED, Swiatek PR, Hou H, Chung KC. Utilization of Preoperative Electrodiagnostic Studies for Carpal Tunnel Syndrome: An Analysis of National Practice Patterns. J Hand Surg Am 2016; 41 (06) 665-672.e1
- 4 Buchberger W, Schön G, Strasser K, Jungwirth W. High-resolution ultrasonography of the carpal tunnel. J Ultrasound Med 1991; 10 (10) 531-537
- 5 Kerasnoudis A, Tsivgoulis G. Nerve Ultrasound in Peripheral Neuropathies: A Review. J Neuroimaging 2015; 25 (04) 528-538
- 6 Simon NG, Talbott J, Chin CT, Kliot M. Peripheral nerve imaging. Handb Clin Neurol 2016; 136: 811-826
- 7 Hobson-Webb LD, Padua L. Ultrasound of Focal Neuropathies. J Clin Neurophysiol 2016; 33 (02) 94-102
- 8 Fowler JR, Cipolli W, Hanson T. A Comparison of Three Diagnostic Tests for Carpal Tunnel Syndrome Using Latent Class Analysis. J Bone Joint Surg Am 2015; 97 (23) 1958-1961
- 9 Wee TC, Simon NG. Ultrasound elastography for the evaluation of peripheral nerves: A systematic review. Muscle Nerve 2019; 60 (05) 501-512
- 10 Kirkwood BR, Sterne JA. Essential medical statistics. 2nd ed. Massachusetts, USA: Blackwell Science; 2006
- 11 Fleiss JL. The design and analysis of clinical experiments. New York: Wiley; 1986
- 12 Mondelli M, Giannini F, Giacchi M. Carpal tunnel syndrome incidence in a general population. Neurology 2002; 58 (02) 289-294
- 13 Sassi SA, Giddins G. Gender differences in carpal tunnel relative cross-sectional area: a possible causative factor in idiopathic carpal tunnel syndrome. J Hand Surg Eur Vol 2016; 41 (06) 638-642
- 14 Lakshminarayanan K, Shah R, Li ZM. Sex-related differences in carpal arch morphology. PLoS One 2019; 14 (05) e0217425
- 15 Bower JA, Stanisz GJ, Keir PJ. An MRI evaluation of carpal tunnel dimensions in healthy wrists: Implications for carpal tunnel syndrome. Clin Biomech (Bristol, Avon) 2006; 21 (08) 816-825
- 16 Brett AW, Oliver ML, Agur AM, Edwards AM, Gordon KD. Quantification of the transverse carpal ligament elastic properties by sex and region. Clin Biomech (Bristol, Avon) 2014; 29 (06) 601-606
- 17 Cobb TK, Dalley BK, Posteraro RH, Lewis RC. Anatomy of the flexor retinaculum. J Hand Surg Am 1993; 18 (01) 91-99
- 18 Barcenilla A, March LM, Chen JS, Sambrook PN. Carpal tunnel syndrome and its relationship to occupation: a meta-analysis. Rheumatology (Oxford) 2012; 51 (02) 250-261
- 19 Harris-Adamson C, Eisen EA, Kapellusch J. et al. Biomechanical risk factors for carpal tunnel syndrome: a pooled study of 2474 workers. Occup Environ Med 2015; 72 (01) 33-41
- 20 Tai TW, Wu CY, Su FC, Chern TC, Jou IM. Ultrasonography for diagnosing carpal tunnel syndrome: a meta-analysis of diagnostic test accuracy. Ultrasound Med Biol 2012; 38 (07) 1121-1128
- 21 Özçakar L, Kara M, Chang KV. et al. Nineteen reasons why physiatrists should do musculoskeletal ultrasound: EURO-MUSCULUS/USPRM recommendations. Am J Phys Med Rehabil 2015; 94 (06) e45-e49
- 22 Horng YS, Chang HC, Lin KE, Guo YL, Liu DH, Wang JD. Accuracy of ultrasonography and magnetic resonance imaging in diagnosing carpal tunnel syndrome using rest and grasp positions of the hands. J Hand Surg Am 2012; 37 (08) 1591-1598
- 23 Mhoon JT, Juel VC, Hobson-Webb LD. Median nerve ultrasound as a screening tool in carpal tunnel syndrome: correlation of cross-sectional area measures with electrodiagnostic abnormality. Muscle Nerve 2012; 46 (06) 871-878
- 24 Abrishamchi F, Zaki B, Basiri K, Ghasemi M, Mohaghegh M. A comparison of the ultrasonographic median nerve cross-sectional area at the wrist and the wrist-to-forearm ratio in carpal tunnel syndrome. J Res Med Sci 2014; 19 (12) 1113-1117