ROLE OF ULTRASONOGRAPHY IN THE DIAGNOSIS OF CARPAL TUNNEL SYNDROME

Document Type : Original Article

Authors

Department of Radiodiagnosis, Faculty of Medicine, Al-Azhar University, Cairo, Egypt

Abstract

Background: Carpal tunnel syndrome (CTS) is the most common form of peripheral entrapment neuropathy. The use of sonography for investigation and diagnosis of musculoskeletal conditions has been rapidly increasing over the past few decades. Recent studies have demonstrated advantages of sonographic techniques in the diagnosis of carpal tunnel syndrome (CTS).
Objective: Assessing the utility of ultrasonography in the diagnosis of carpal tunnel syndrome (CTS) and grading its severity.
Patients and Methods : Sixty hands in 46 patients with clinically and electro-physiologically confirmed carpal tunnel syndrome,  and sixty asymptomatic hands in 34 healthy individuals as control group were included in the study and underwent high-resolution ultrasonography of the wrists. In ultrasonographic assessment the cross-sectional area (CSA) of the median nerve at the distal crease of the wrist and flattening ratio (FR) of the median nerve in the carpal tunnel as well as palmar bowing (PB) of the flexor retinaculum were measured. Ultrasonographic Data from the patients group and control group were compared to determine the statistical significance. The accuracy of the ultrasonographic diagnostic criteria for carpal tunnel syndrome was evaluated using receiver-operating characteristic (ROC) curve analysis. Sensitivity and specificity of ultrasonographic measurements were evaluated. Ultrasonographic measurements were correlated with severity of CTS according to nerve conduction studies (NCS).   
Results: The CSA of the median nerve and PB of the flexor retinaculum were significantly larger in the CTS hands compared to the normal control hands. However, FR of the median nerve showed no significant difference between both groups. Increased cross-sectional area of the median nerve was the most predictive measurement of carpal tunnel syndrome. Using the ROC curve, a CSA cut-off value of 10 mm² provided a diagnostic sensitivity of 93.3 % and specificity of 98.3 % and PB cut-off value of 3.3 mm provided a diagnostic sensitivity of 90 % and specificity of 85 %. No significant differences in CSA and PB were found among patients with mild, moderate and severe carpal tunnel syndrome so that CSA and PB did not reflect the severity of the condition.
Conclusion: Ultrasonography is a useful non-invasive method for the diagnosis of carpal tunnel syndrome but not assessing its severity.

Keywords


ROLE OF ULTRASONOGRAPHY IN THE DIAGNOSIS OF CARPAL TUNNEL SYNDROME

 

By

 

Mostafa Sonbol, Wafik Ibrahim and Mohammed Ghunaimi

 

Department of Radiodiagnosis, Faculty of Medicine, Al-Azhar University, Cairo, Egypt

 

ABSTRACT

Background: Carpal tunnel syndrome (CTS) is the most common form of peripheral entrapment neuropathy. The use of sonography for investigation and diagnosis of musculoskeletal conditions has been rapidly increasing over the past few decades. Recent studies have demonstrated advantages of sonographic techniques in the diagnosis of carpal tunnel syndrome (CTS).

Objective: Assessing the utility of ultrasonography in the diagnosis of carpal tunnel syndrome (CTS) and grading its severity.

Patients and Methods : Sixty hands in 46 patients with clinically and electro-physiologically confirmed carpal tunnel syndrome,  and sixty asymptomatic hands in 34 healthy individuals as control group were included in the study and underwent high-resolution ultrasonography of the wrists. In ultrasonographic assessment the cross-sectional area (CSA) of the median nerve at the distal crease of the wrist and flattening ratio (FR) of the median nerve in the carpal tunnel as well as palmar bowing (PB) of the flexor retinaculum were measured. Ultrasonographic Data from the patients group and control group were compared to determine the statistical significance. The accuracy of the ultrasonographic diagnostic criteria for carpal tunnel syndrome was evaluated using receiver-operating characteristic (ROC) curve analysis. Sensitivity and specificity of ultrasonographic measurements were evaluated. Ultrasonographic measurements were correlated with severity of CTS according to nerve conduction studies (NCS).   

Results: The CSA of the median nerve and PB of the flexor retinaculum were significantly larger in the CTS hands compared to the normal control hands. However, FR of the median nerve showed no significant difference between both groups. Increased cross-sectional area of the median nerve was the most predictive measurement of carpal tunnel syndrome. Using the ROC curve, a CSA cut-off value of 10 mm² provided a diagnostic sensitivity of 93.3 % and specificity of 98.3 % and PB cut-off value of 3.3 mm provided a diagnostic sensitivity of 90 % and specificity of 85 %. No significant differences in CSA and PB were found among patients with mild, moderate and severe carpal tunnel syndrome so that CSA and PB did not reflect the severity of the condition.

Conclusion: Ultrasonography is a useful non-invasive method for the diagnosis of carpal tunnel syndrome but not assessing its severity.

Key Words: Carpal tunnel syndrome, Ultrasonography, Median nerve, Diagnosis.

 

 

INTRODUCTION

    Carpal tunnel syndrome is a clinical syndrome that occurs due to the compression of the Median nerve at the wrist and is considered a major cause of occupational disability (Bongers et al., 2007).

     Carpal tunnel syndrome is the most common nerve entrapment in human beings with an estimated prevalence of 5 % in the general population (Kwon et al., 2008).

      Diagnosis of CTS is based on clinical presentation and confirmed by electro-diagnostic studies (Keith et al., 2009).

      Sensitivity and specificity of NCS for the diagnosis of CTS were reported to be 85% and 95% respectively. It may still give false positive and negative results. Besides, this technique is often uncomfor-table for the patients (Cartwright et al., 2012).

      High resolution ultrasound (HRUS) has emerged as a feasible, simple, relatively low-cost, rapid, accurate, and noninvasive imaging method for evaluating the median nerve in the carpal tunnel (Andrea  et al., 2011). Since then, several studies have been conducted to evaluate the role of ultrasound in diagnosing CTS and its advantages and disadvantages compared to nerve conduction studies (NCS). These studies have attempted to define the optimal criteria by which ultrasound measure-ments can be used to define CTS (Boutte et al., 2009).

      Cross sectional area of the median nerve, flattening ratio of the median nerve and palmar bowing of the flexor retinaculum were the most commonly investigated criteria. The most predictive measurement was cross-sectional area of the median nerve. However, there is still much debate with regards to the level within the carpal tunnel that this measurement should be taken and furthermore what constitutes an abnormal value (Wang, 2008).

     Numerous studies with different methods have been performed in this field and Ultrasound (US) measurements had a sensitivity of 29.4% to 100% and specificity of 47% to 100% (Roll et al., 2011).

      In this study, we aimed to evaluate the utility of high-resolution ultrasonography in CTS diagnosis through investigating different ultrasonographic diagnostic criteria in patients with clinical and electrodiagnostic evidence of CTS.

MATERIALS AND METHODS

    This study was conducted in the National Institute of Neuro-Motor system in Giza district from May 2015 to December 2016. The study protocol was approved by Faculty of Medicine, Al-Azhar University. Verbal consent was obtained from all participants.

    The study group included a total of 120 wrists in 80 participants divided in 2 groups; patients and control group. The patients group included 46 patients with 60 wrists who were referred to our department from orthopedic, neurology and neurosurgery clinics between May 2015 and December 2016 with a clinical diagnosis of carpal tunnel syndrome (CTS) .The control group included 34 individuals with 60 wrists selected from volunteer hospital staff who were free of symptoms or clinical signs of neuropathy.

   The participants underwent ultrasono-graphic examination. The nerve conduction studies (NCS) were performed for the CTS patients.

- Inclusion criteria :

■ Patients with symptoms, clinical signs and NCS consistent with CTS.

- Exclusion criteria :

■ History of previous wrist surgery, fracture or traumatic nerve injury.

■ Patients with history or clinical examination or investigations suggestive of proximal neurologic disorders that might result in numbness or paraesthesia e.g. cervical radiculopathy, Thoracic outlet syndrome,  brachial plexopathy,  proximal median neuropathy, ulnar neuropathy, polyneuropathy, motor neuron disease, spondylotic myelopathy,  syringomyelia,  stroke,  multiple sclerosis.

■ Participants with a variant of median nerve, such as bifid median nerve and persistent median artery were also excluded.

      Demographic factors including age and gender were recorded in all participants in the study.

      Nerve conduction studies (NCS)were performed using a Caldwell Sierra Wave® (Cadwell Laboratories, Kennewick, WA, USA). The latency, conduction velocity and amplitude of action potential of the median nerve were measured. The cut-off point used in the NCS was the median nerve distal sensory latency of 3.5 milliseconds and NCS results were considered supportive of CTS when median nerve distal sensory latency was more than 3.5 milliseconds.

     Wrists with CTS were divided into three groups on the basis of the severity of CTS, i.e.  mild, moderate, and severe :

■ The mild group showed median nerve distal sensory latency of greater than 3.5 milliseconds up to 4.5 milliseconds.

■ The moderate group had median nerve distal sensory latency prolonged by more than 4.5 milliseconds up to 5.5 milliseconds.

■ The severe group had median nerve distal sensory latency prolonged by more than 5.5 milliseconds and/or median nerve sensory nerve action potential amplitude reduction below 25 mV.

      High resolution US was performed by using an Aplio 400 Ultrasound System (Toshiba Medical Systems Corporation, Tokyo, Japan) with a 10–12 MHz linear array transducer. During the examination, the subjects were seated in a comfortable position facing the examiner, with the measured forearm resting on the table, the palm supine, and fingers semi-extended in the neutral position. The full course of the median nerve in the carpal tunnel is evaluated in both the transverse and longitudinal planes. The transducer was placed directly on the patient’s skin with gel. The median nerve was first imaged in a longitudinal scan, placing the US probe at the midline between the radius and ulna with the centre of the probe at the distal wrist crease to obtain an initial general overview of the median nerve. The probe was then rotated 90 degrees to obtain optimal axial (cross-sectional) images.

   A transverse scan was then performed, keeping the probe directly perpendicular to the long axis of the median nerve and then measurements were performed:

■ The cross sectional area (CSA) of the median nerve  (measured in mm2) at distal crease of the wrist was measured by continual tracing of the nerve circumference outlining the nerve contour using area measurement software (continuous boundary trace) of the ultrasound system.

■ The elliptical diameters (transverse and antero-posterior) of the median nerve were measured and the flattening ratio (FR) of median nerve was calculated as the ratio of the nerve’s transverse dimension to the antero-posterior dimension.

■ The palmar bowing (PB) of the flexor retinaculum is displacement (measured in mm) of the retinaculum from its attachments to the carpal bones and was measured at the trapezium - hamate level. Once the trapezium and hamate bones are identified, a line was drawn tangential to them. Then, the distance between this line and the most anterior portion of the flexor retinaculum was measured.

      Measurements were repeated three times and average value was used for statistical evaluation.

     Statistical analysis:Quantitative data were expressed as mean ± SD. While qualitative data were expressed as number and percentage. Independent t-test and ANOVA test were used for comparison between quantitative variables.

     The arithmetic mean, range and the standard deviation of the ultrasonographic measurements in both CTS patients and control groups were determined and both groups were compared using independent t-test.

     With use of the NCS as the reference standard, true-positive, true negative, false-negative and false-positive results were recorded.

     The receiver operating characteristic (ROC) curve was used to find out cut-off points, sensitivity, specificity, positive and negative predictive values. Optimal cut-off point in ROC curve was chosen based on the optimum point with the most sensitivity and specificity.

     The correlation between the NCS grade of CTS and US measurements was assessed.

     The Statistical Package for Social Science (SPSS Inc., version 13.0 for Windows) was used for all statistical analyses. A P value

RESULTS

Demographic data: In the patient group, 46 patients (60 wrists) were included in the study with mean age 45.5 years and age range from 29 to 75 years. There were 37 (80.4 %) females and 9 (19.6 %) males. Out of the 46 patients, 14 patients had bilateral CTS and 32 patients had unilateral CTS (right 17, left 15). CTS was associated with diabetes mellitus in 3 patients, hypothyroidism in 1 patient and rheumatoid arthritis in 1 patient, CTS was idiopathic in 41 patients.

     The control group included 34 subjects (60 wrists) with mean age 36 years and age range from 23 to 56 years. There were 25 females (73.5 %) and 9 males (26.5 %).

NCS: The CTS patients were divided into three groups based the NCS results. There were 33 hands (55 %) with mild, 12 hands (20 %) with moderate and 15 hands (25 %) with severe CTS according to NCS.

 

 

 

Table (1): Demographic data and results of NCS of CTS and control groups.

Groups

 

Variables                                               

Control

CTS

P value

Number                                

34 (60 Hands)

46 (60 Hands)

 

Gender

(Women/Men)

25/9

37/9

>0.05

percentage

73.5/26.5 %

 80.4/19.6 %

Age  (years)

 

mean+ SD

36.15 ± 8.94

45.54 ± 11.08

< 0.001

Range

23-56

29-75

Grade  of  CTS

Mild

NO NCS

33

55 %

 

 

Moderate

12

20 %

Severe

15

25 %

CTS: Carpal tunnel syndrome, SD: Standard deviation, NCS: Nerve conduction studies.

 

 

 

  Ultrasonographic measurements included cross sectional area (CSA) of the median nerve, flattening ratio (FR) of the median nerve and palmar bowing (PB) of the flexor retinaculum. The CSA of the median nerve showed statistically significant increase in the CTS patients (17.98 ± 8.66 mm2) compared to the control group (7.8 ± 1.32 mm2 - P value > 0.001). Also PB of flexor retinaculum was increased in CTS  patients (4.31 ± 0.85  mm) in comparison to control group (2.6 ± 0.62 mm) and this increase was statistically significant (P value  > 0.001). Although FR of the median nerve also increased in CTS patients (2.94 ± 0.58) in comparison to control group (2.92 ± 0.69). This increase did not reach statistical significance (P value > 0.05 - Table 2).

 

 

Table (2): Comparisons of ultrasonographic measurements of CTS patients and control.

 

Groups

 

Variables

Control

CTS

P value

Mean ±SD

Range

Mean ±SD

Range

CSA(mm2) 

7.8 ± 1.32

5 - 11

17.98 ± 8.66

8 - 47

< 0.001

  FR

2.92 ± 0.69

1.4 – 4.4

2.94 ± 0.58

1.8 – 4.7

> 0.05

PB  (mm)

2.6 ± 0.62

1.3 - 3.8

4.31 ± 0.85

2.5 - 5.9

< 0.001

CTS: Carpal tunnel syndrome, CSA: Cross sectional area, FR: Flattening ratio,

PB:    Palmar bowing, SD: Standard deviation

 

 

    CSA cut-off value of 8 mm2  yielded a sensitivity of 96.7 % and specificity of     68.3  % , cut-off value of 9 mm2 yielded a sensitivity of 96.7 % and a specificity of 91.7 % , cut-off value of 10 mm2 yielded sensitivity of 93.3 % and a specificity of   98.3 % and cut off value of 11 mm2 yielded 85 % sensitivity and 100 % specificity. PB cut-off value of 3.1 mm yielded a sensitivity of 95 % and specificity of 78.3  %, cut-off value of 3.2 mm yielded a sensitivity of 95 % and a specificity of 80 %, cut-off value of 3.3 mm yielded sensitivity of 90 % and a specificity of 85 % and cut off value of 3.4 mm yielded 81.6 % sensitivity  and 88.3 %  specificity (Fig.1).

 

 

 

 
   
 

 

 

 

 

 

 

 

 

 

 


Figure (1): The receiver operating char­acteristic (ROC) curve for CSA and PB.

 

 

    Comparison of different cut-off values of CSA and PB was performed for purpose of establishing the optimal cut-off value for CTS diagnosis which would achieve higher sensitivity and specificity and yields satisfactory positive and negative predictive values. Optimal CSA cut off value was 10 mm2 which yielded 93.3 % sensitivity, 98.3 % specificity, 98.2 % positive predictive value and 93.6 % negative predictive value. The corres-ponding positive LR and negative LR were 54.9 to rule in and 0.07 to rule out CTS respectively. Optimal PB cut off value was 3.3 mm which yielded 90 % sensitivity and 85 % specificity, 85.7 % positive predictive value and 89.5 % negative predictive value. The corresponding positive LR and negative LR were 6 to rule in and 0.11 to rule out CTS respectively (Table 3).



Table (3): Optimal cut off value for CSA and PB.

Variables

Cut-off value

Sensitivity

%

Specificity

%

PPV

%

NPV

%

Positive LR

Negative LR

CSA

10.0 mm2

93.3

98.3

98.2

93.6

54.9

0.07

PB

3.3  mm

90

85

85.7

89.5

6

0.11

CSA: Cross sectional area, PB: Palmar bowing, PPV: Positive predictive value,

NPV:     Negative predictive value, LR: Likelihood ratio.

 

 

    According to NCS results, 33 wrists out of 60 (55 %) were classified as mild CTS. Mean CSA in this group was 17.15 ± 7.58 mm2 and mean PB was 4.29 ± 0.79 mm, 12 out of 60 wrists   (20 %) were classified as moderate CTS with mean CSA of 18.16 ± 4.42 mm2 and mean PB of 4.32 ± 0.89 mm, remaining 15 patients (20 %) were classified as severe CTS with mean CSA of 21.26 ± 12.37 mm2    and mean PB of 4.35 ± 0.99 mm. Comparison of  the ultrasonographic measurements CSA and PB among different CTS grades (mild, moderate, and severe) demonstrated that the mean CSA of median nerve has increased with increase of CTS grade. However, the differences did not achieve statistical significance (P value > 0.05). There was also no statistically significant difference among different CTS grades with respect to PB of the flexor retinaculum (P value> 0.05-Table 4).


 

Table (3): Ultrasonographic parameters from patients with different severity CTS.

            Severity

 

Variables

Mild

Moderate

Severe

P value

CSA  mm2 

Mean ± SD

17.15 ± 7.58

18.16 ± 4.42

21.26 ± 12.37

> 0.05

PB  mm  

Mean ± SD

4.29 ± 0.79

4.32 ± 0.89

4.35 ± 0.99

> 0.05

 

CSA: Cross sectional area, PB: Palmar bowing, SD: Standard deviation.

 

 

 


Representative cases

Control subject:

  • 42 years old female who was clinically free from CTS.
  • Ultrasound results (Fig. 2):

Site

Parameters

Right

Left

CSA

9  mm2

9  mm2

PB

2.5  mm

2.3  mm

FR

3.6

4.1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure (2): Sonographic cross sectional view of the carpal tunnel of both hands in healthy volunteer displaying cross sectional area (CSA) of the median nerve (A,B), Palmar bowing (PB) of the flexor retinaculum (C,D) and flattening ratio (FR) of the median nerve (E,F).

CASE NO.1 :

  • 50 years old female with clinical diagnosis of unilateral CTS in the right hand.
  • NCS revealed moderate right median nerve entrapment at the level of the wrist.
  • Ultrasound results (Fig. 3):

CSA

37   mm2

PB

3.6   mm

FR

2.8

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Figure (3): Sonographic cross sectional view  of the carpal  tunnel  in patient  with carpal tunnel syndrome in right hand displaying cross sectional area (CSA) of the median nerve (A), Palmar bowing (PB) of the flexor retinaculum (B) and flattening ratio (FR) of the median nerve (C).

 

CASE NO. 2:

  • 48 years old male with clinical diagnosis of bilateral CTS.
  • NCS revealed mild right and mild left median nerve entrapment at the level of the wrist.
  • Ultrasound results (Fig. 4):

 

Site

Parameters

Right

Left

CSA

37  mm2

22  mm2

PB

3.3  mm

3.4  mm

FR

3.2

2.9

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig.(4): Sonographic cross sectional view  of the carpal  tunnel  in patient with bilateral carpal tunnel syndrome displaying cross sectional area (CSA) of the median nerve (A,B), Palmar bowing (PB) of the flexor retinaculum (C,D) and flattening ratio (FR) of the median nerve (E,F).



DISCUSSION

      Carpal tunnel syndrome (CTS) is a combination of specific symptoms and signs that occur as a result to median nerve compression at the wrist. It represents the most common peripheral nerve entrapment disorder. CTS has been reported to be present in 3.8 % of the general population and accounts for 90% of all entrapment neuropathies (Alfonso et al., 2010). It is recognized as one of the most important causes of the workplace morbidity with a prevalence of 7.8 % and annual incidence rate of 2.3 CTS cases per 100 persons in working population in USA (Dale et al., 2013).

    Diagnosis of carpal tunnel syndrome is complicated by the lack of agreement on a gold standard or reference standard diagnostic method for verifying its presence or absence. The diagnosis of CTS relies mainly on the characteristic symptoms, provocative clinical tests and nerve conduction studies (NCS).

    Although NCS are a valuable technique for the diagnosis of CTS and evaluating its severity (Graham, 2008), they have some disadvantages; being painful with false-negative gate between 10 % and 15 % (Werner and Andary, 2011).

    Ultrasonography has the advantage of being painless, easily accessible, less time consuming and providing the ability for visualization of the carpal tunnel and the median nerve.

     The appropriate US technique, probe position and ultrasound diagnostic criteria have not been fully established for CTS.

     The objective of this study was to investigate the utility of ultrasonography for diagnosis of carpal tunnel syndrome and assessment of its severity. The study assessed the diagnostic accuracy of three sonographic parameters in CTS diagnosis, namely cross sectional area (CSA) of the median nerve at level of distal crease of the wrist, flattening ratio (FR) of the median nerve within the carpal tunnel and palmar bowing (PB) of the flexor retinaculum. Nerve conduction studies (NCS) were used as a reference standard diagnostic procedure.

     This study included 46 patients with 60 wrists with unilateral or bilateral carpal tunnel syndrome and 34 healthy volunteers acting as control with 60 wrists also.

     In the current study, the cross sectional area of the median nerve was found to be significantly higher in the CTS patients when compared with controls. These results were in agreement with other previous studies perfomed by Domanasiewicz et al. (2009) and Akcar et al. (2010). The increase in cross-sectional area could be attributed to the nerve edema as CTS is caused by median nerve compression in the carpal tunnel.

     The present study revealed that optimal cut off value of CSA of median nerve for diagnosis of CTS was 10 mm2, which yielded sensitivity and specificity (93.3%) and (98.3%) respectively. For the same cut-off value, positive and negative predictive values were calculated as 98.2 % and 93.6% respectively. CSA cut off value for different levels of the carpal tunnel has ranged from 9 mm2 to 15 mm2 (Kwon et al., 2008) with varying sensitivities and specificities ranging from 70 % to 88 % and 63 % to 97 % respectively (Pastare et al., 2009). A possible explanation for this variability could be attributed to the difference of the studied population with regard to gender composition, age, body mass index (BMI), the differences in study design and measurement techniques. Tai et al. (2012) performed a meta-analysis and reported that a CSA ≥ 9 mm2 is the best single diagnostic criterion.

    In the present study, based on the statistical analysis of 60 wrists of CTS of different grades according to NCS results, no significant differences in CSA were found among different grades of CTS so that CSA could not reflect the grade of CTS. These results were similar to those studies performed by Kaymak et al. (2008), Moran et al. (2009) and Mhoon et al. (2012) who reported that although median nerve ultrasound is a highly sensitive screening tool for CTS, it cannot determine its severity. However, Padua et al. (2008) and Karadag et al. (2010) reported that CSA was positively correlated with the NCS severity and is a useful tool for grading CTS and determining its severity.

     Regarding PB of flexor retinaculum, the present study revealed that PB of flexor retinaculum significantly increased in the CTS group compared to control group which went in concordance with studies performed by Rayegani et al. (2014) and Kandasamy et al. (2015). PB of the flexor retinaculum was attributed to increase the pressure inside the carpal tunnel described in the pathogenesis of CTS.

     The recorded optimal cut-off value of PB for diagnosis of CTS in current study was 3.3 mm with a sensitivity and specificity of 90 % and 85 % respectively. Positive and negative predictive values were recorded as 85.7 % and 89.5 % respectively. In previous studies, PB values have ranged between 2.5 and 4 mm (Yurdakul et al., 2016).

     Concerning the role of PB of flexor retinaculum in grading CTS, the present study revealed that the difference of PB of flexor retinaculum among different CTS grades is statistically insignificant so that it is not reliable for grading CTS severity.

      According to current study, FR of the median nerve did not show significant difference between CTS group and control group. In published literature, the role of nerve flattening has varied among studies (Kandasamy et al., 2015).

     There were several study limitations, i.e. there was a significant difference between the mean ages of the control group and the patient group, and the lack of blinding to subjects status.

CONCLUSION

      Ultrasonographic examination of the carpal tunnel was sensitive and specific enough and a useful non invasive diagnostic tool for carpal tunnel syndrome, but it did not reflect the severity of the condition.

REFERENCES

1. Akcar N, Ozkan S, Mehmetoglu O, Calisir C and Adapinar B. (2010): Value of power doppler and gray scale us in the diagnosis of carpal tunnel syndrome: contribution of cross-sectional area just before the tunnel inlet as compared with the cross-sectional area at the tunnel. Korean J Radiol., 11(6): 632-9.

2. Alfonso C, Jann S, Massa R and Torreggiani A. (2010): Diagnosis, treatment and follow-up of the carpal tunnel syndrome: a review. Neurology Sci., 31(3): 243-52.

3. Andrea S, Ethan J and Ralph F. (2011): Bifid median nerve in carpal tunnel syndrome: assessment with US cross-sectional area measurement. Radiology, 259(3): 123–129.

4. Bongers FJ, Schellevis FG, van den Bosch WJ and van der Zee J. (2007): Carpal tunnel syndrome in general practice (1987 and 2001): incidence and the role of occupational and non-occupational factors. The British journal of general practice. The Journal of the Royal College of General Practitioners, 57(534): 36-9.

5. Boutte C, Gaudin P, Grange L, Georgescu D, Besson G and Lagrange E. (2009): Sonography versus electrodiagnosis for the diagnosis of carpal tunnel syndrome in routine practice. Rev Neurol (Paris), 165: 460–5.

6. Cartwright MS, Hobson-Webb LD, Boon AJ, Alter KE, Hunt CH, Flores VH, Werner RA, Shook SJ, Thomas TD, Primack SJ and Walker FO. (2012): Evidence-based guideline: neuromuscular ultrasound for the diagnosis of carpal tunnel syndrome. Muscle & Nerve, 46(2): 287-93.

7. Dale AM, Harris-Adamson C, Rempel D, Gerr F, Hegmann K, Silverstein B, Burt S, Garg A, Kapellusch J, Merlino L, Thiese MS, Eisen EA  and Evanoff B. (2013): Prevalence and incidence of carpal tunnel syndrome in US working populations: pooled analysis of six prospective studies. Scand J Work Environ Health, 39(5): 495-505.

8. Domanasiewicz A, Koszewicz M and Jabłecki J. (2009): Comparison of the diagnostic value of ultrasonography and neurography in carpal tunnel syndrome. Neurol Neurochir Pol., 43(5): 433-8.

9. Graham B. (2008): The value added by electro-diagnostic testing in the diagnosis of carpal tunnel syndrome. J Bone and Joint Surgery Am., 90 (12): 2587- 2593.

10. Kandasamy G, Peter B. and Asanathan K. (2015): Evaluation of median nerve in carpal tunnel syndrome by high frequency ultrasound & color doppler in comparison with nerve conduction studies. International Journal of Latest Research in Science and Technology, 4(5): 89-101.

11. Karadag YS, Karadag O, Cicekli E, Ozturk S, Kiraz S, Ozbakir S, Filippucci E and Grassi W. (2010): Severity of Carpal tunnel syndrome assessed with high frequency ultrasonography. Rheumatol Int., 30(6): 761–765.

12. Kaymak B, Ozçakar L, Cetin A, Candan Cetin M, Akinci A and Hasçelik Z. (2008): A comparison of the benefits of sonography and electrophysiologic measurements as predictors of symptom severity and functional status in patients with carpal tunnel syndrome. Arch Phys Med Rehabil., 89(4): 743-8.

13. Keith MW, Masear V, Chung K, Maupin K, Andary M, Amadio PC, Barth RW, Watters WC 3rd, Oldberg MJ, Haralson RH 3rd, Turkelson CM  and Wies JL. (2009): Diagnosis of carpal tunnel syndrome. J Am Acad Orthop Surg., 17: 389–396.

14. Kwon BC, Jung KI and Baek GH. (2008): Comparison of sonography and electrodiagnostic testing in the diagnosis of carpal tunnel syndrome. J Hand Surge Am., 33(1): 65-71.

15. Mhoon JT, Juel VC and Hobson-Webb LD. (2012): Median nerve ultrasound as a screening tool in carpal tunnel syndrome: correlation of cross-sectional area measures with electrodia-gnostic abnormality. Muscle Nerve, 46(6): 871-878.

16. Moran L, Perez M, Esteban A and Bellon J. (2009): Sonographic measurement of cross sectional area of the median nerve in the diagnosis of carpal tunnel syndrome. J Clin Ultrasound, 37(3): 125-31.

17. Padua L, Pazzaglia C, Caliandro P, Granata G, Foschini M, Briani C and Martinoli C (2008): Carpal tunnel syndrome: ultrasound, neurophysiology, clinical and patient-oriented assessment. Clin Neurophysiol., 119(9): 2064-2069.

18. Pastare D, Therimadasamy AK, Lee E and Wilder-Smith E. (2009): Sonography versus nerve conduction studies in patients referred with a clinical diagnosis of carpal tunnel syndrome. J Clin Ultrasound, 37(7): 380-93.

19. Rayegani S.M, Kargozar E, Eliaspour D, Raeissadat S.A, Sanati E and Bayat M. (2014): Diagnostic value of ultrasound compared to electro diagnosis in carpal tunnel syndrome. Patient Saf Qual Improv., 2(4): 142-147.

20. Roll SC, Case-Smith J and Evans KD. (2011): Diagnostic accuracy of ultrasonography vs electromyography in carpal tunnel syndrome: a systematic review of literature. Ultrasound Med Biol., 37: 1539–1553.

21. Tai TW, Wu CY, Su FC, Chern TC and Jou IM. (2012): Ultrasonography for diagnosing carpal tunnel syndrome: a meta-analysis of diagnostic test accuracy. Ultrasound Med Biol., 38: 1121-1128.

22. Wang LY. (2008): Best diagnostic criterion in high-resolution ultrasonography for carpal tunnel syndrome. Chang Gung Med J., 31(5): 469-76.

23. Werner RA and Andary M. (2011): Electrodiagnostic evaluation of carpal tunnel syndrome. Muscle Nerve, 44(4): 597–607.

24. Yurdakul OV, Mesci N, Cetinkaya Y and Kulcu DG. (2016): Diagnostic significance of ultrasonographic measurements and median-ulnar ratio in carpal tunnel syndrome: correlation with neve conduction studies. J Clin Neurol., 12(3): 289-294.

 

 دور الموجات فوق الصوتیة فـى تشخیص متلازمة النفق الرسغى

 

مصطفى سنبل - وفیق إبراهیم - محمد غنیمى

 

قسم الأشعة التشخیصیة - کلیة الطب - جامعة الأزهر

خلفیة البحث:  تعـتبر متــلازمة النـفق الرسغـى الأکــثر ٳنتشـارا مـن بـین أمراض ٳختنـاق الأعصـاب الطـرفـیة. ولقد إزداد ٳستخـدام الموجــات فــوق الصوتیة بشـکل ملحـوظ فـى الٱونـه الأخـیرة فـى تشخــیص أمـراض الجهاز العضلى الهیکلى. وقـد أظـهرت دراسات حدیثـة ممـیزات ٳستـخـدام الموجـات فـوق الصوتیة فى تشخـیص متـلازمـة النـفق الرســغى.

الهدف من البحث: تقییم دور المـوجــات فـوق الصـوتیة فـى تشــخیض متـلازمة النفـق الرسغـى وتحـدید شـدة الٳصـابة.

المرضى وطرق البحث: تضـمنت الـدراسة ٦٠ یـد مـن خـلال ٤٦ مریـض بمتـلازمة النفـق الرسغـى تم تشـخیـصها ٳکلیـنیکـیا وعـن طـریق الٳختبـارات العصـبیة الکـهربائـیة ، کما تضـمنت ٦٠ یـد مـن خـلال  ٣٤ مـن الأشـخاص الأصـحاء الــذین لا یعانـون مـن متــلازمـة النفـق الرسغـى .وتـم تقـییم المجـموعـتین بواسطـة المـوجات فـوق الصـوتیة مـن خـلال قیـاس المسـاحة القطـعیة العرضـیة للعـصب الأوسـط ، ومعــدل تسـطح العـصب الأوسـط ، ودرجـة التقــوس الأمـامـى للـربـاط الرسغـى القـابض. وقد تـمت المـقارنة بـین قیـاسات  المجـموعتین ، وکـذلک تقـییم الـدقة التشخـیصیة للعـوامل التشخـیصیة محـل الـدراسة ، وتحدیـد درجـة الحسـاسیة والخصـوصیة التشخـیصیة لهـذه العـوامل ، وربـط هـذه القیـاسات  بشـدة الٳصـابة طـبقا لٳختـبارات توصـیل الأعصـاب.

النتائج: أظـهرت الـدراسـة زیـادة المسـاحة القـطعیـة العــرضیة للعـصب الأوسـط ودرجـة التقــوس الأمـامـى للـرباط الرسغـى القـابض بشـکـل ملـحوظ فـى مرضى متـلازمة النفـق الرسغـى عنهـما فى الأشخـاص الأصحـاء ممـا یجعـل منهـما عــوامل تشخـیصیة فـعالـة فـى تشـخیص متــلازمة النفـق الرسغـى، أما معـدل تسطـح العـصب الأوسـط فلـم یکـن هنـاک فـرق ملحــوظ فیه بـین المجـموعــتین.

   ولقـد أظـهرت الـدراسة أیضاً أن الـقیمة المثـالیة الفـاصلة فـى تشـخـیص متـلازمة النـفق الرسغـى  للمسـاحة الـقطـعیة العـرضیة للـعـصب الأوسـط کـانت ١٠مللیـمـیترات مـربعة لتعـطى٩٣٫٣ ٪ حسـاسیة تشخـیصیة و خصـوصیة  ٩٨٫٣ ٪ ، أما الـقیــمة المـثـالیة الفـاصـلة لدرجـة التقـوس الأمـامـى للربـاط الرسغـى القـابـض کـانت ٣٫٣ مللیـمیتر لتعـطى ٩٠ ٪ حسـاسیة تشخـیصیة و خصـوصیة ٨٥٪.

  ولـم یکـن هناک فـرقاً ملـحوظاً فـى قـیاسـات المسـاحة القـطعیـة العــرضیة للعـصب الأوسـط ودرجـة التقــوس الأمـامـى للـرباط الرسغـى القـابض بـین درجـات متــلازمة النفـق الرسغـى المخـتلـفة ، الضـئیلة والمتـوسطة والشـدیـدة ، ممـا یحـد مـن قـدراتـها علـى تحدیـد شـدة الحـالة. 

الإستنتاج: تعــتبر المـوجـات فـوق الصـوتیة وسیلة مفـیـدة غـیر نافــذة لـتشـخیص متـلازمة النفـق الرسغـى ولکنها تفتــقـد القــدرة علـى تحدیـد شـدة الحـالة.  

 

REFERENCES
1. Akcar N, Ozkan S, Mehmetoglu O, Calisir C and Adapinar B. (2010): Value of power doppler and gray scale us in the diagnosis of carpal tunnel syndrome: contribution of cross-sectional area just before the tunnel inlet as compared with the cross-sectional area at the tunnel. Korean J Radiol., 11(6): 632-9.
2. Alfonso C, Jann S, Massa R and Torreggiani A. (2010): Diagnosis, treatment and follow-up of the carpal tunnel syndrome: a review. Neurology Sci., 31(3): 243-52.
3. Andrea S, Ethan J and Ralph F. (2011): Bifid median nerve in carpal tunnel syndrome: assessment with US cross-sectional area measurement. Radiology, 259(3): 123–129.
4. Bongers FJ, Schellevis FG, van den Bosch WJ and van der Zee J. (2007): Carpal tunnel syndrome in general practice (1987 and 2001): incidence and the role of occupational and non-occupational factors. The British journal of general practice. The Journal of the Royal College of General Practitioners, 57(534): 36-9.
5. Boutte C, Gaudin P, Grange L, Georgescu D, Besson G and Lagrange E. (2009): Sonography versus electrodiagnosis for the diagnosis of carpal tunnel syndrome in routine practice. Rev Neurol (Paris), 165: 460–5.
6. Cartwright MS, Hobson-Webb LD, Boon AJ, Alter KE, Hunt CH, Flores VH, Werner RA, Shook SJ, Thomas TD, Primack SJ and Walker FO. (2012): Evidence-based guideline: neuromuscular ultrasound for the diagnosis of carpal tunnel syndrome. Muscle & Nerve, 46(2): 287-93.
7. Dale AM, Harris-Adamson C, Rempel D, Gerr F, Hegmann K, Silverstein B, Burt S, Garg A, Kapellusch J, Merlino L, Thiese MS, Eisen EA  and Evanoff B. (2013): Prevalence and incidence of carpal tunnel syndrome in US working populations: pooled analysis of six prospective studies. Scand J Work Environ Health, 39(5): 495-505.
8. Domanasiewicz A, Koszewicz M and Jabłecki J. (2009): Comparison of the diagnostic value of ultrasonography and neurography in carpal tunnel syndrome. Neurol Neurochir Pol., 43(5): 433-8.
9. Graham B. (2008): The value added by electro-diagnostic testing in the diagnosis of carpal tunnel syndrome. J Bone and Joint Surgery Am., 90 (12): 2587- 2593.
10. Kandasamy G, Peter B. and Asanathan K. (2015): Evaluation of median nerve in carpal tunnel syndrome by high frequency ultrasound & color doppler in comparison with nerve conduction studies. International Journal of Latest Research in Science and Technology, 4(5): 89-101.
11. Karadag YS, Karadag O, Cicekli E, Ozturk S, Kiraz S, Ozbakir S, Filippucci E and Grassi W. (2010): Severity of Carpal tunnel syndrome assessed with high frequency ultrasonography. Rheumatol Int., 30(6): 761–765.
12. Kaymak B, Ozçakar L, Cetin A, Candan Cetin M, Akinci A and Hasçelik Z. (2008): A comparison of the benefits of sonography and electrophysiologic measurements as predictors of symptom severity and functional status in patients with carpal tunnel syndrome. Arch Phys Med Rehabil., 89(4): 743-8.
13. Keith MW, Masear V, Chung K, Maupin K, Andary M, Amadio PC, Barth RW, Watters WC 3rd, Oldberg MJ, Haralson RH 3rd, Turkelson CM  and Wies JL. (2009): Diagnosis of carpal tunnel syndrome. J Am Acad Orthop Surg., 17: 389–396.
14. Kwon BC, Jung KI and Baek GH. (2008): Comparison of sonography and electrodiagnostic testing in the diagnosis of carpal tunnel syndrome. J Hand Surge Am., 33(1): 65-71.
15. Mhoon JT, Juel VC and Hobson-Webb LD. (2012): Median nerve ultrasound as a screening tool in carpal tunnel syndrome: correlation of cross-sectional area measures with electrodia-gnostic abnormality. Muscle Nerve, 46(6): 871-878.
16. Moran L, Perez M, Esteban A and Bellon J. (2009): Sonographic measurement of cross sectional area of the median nerve in the diagnosis of carpal tunnel syndrome. J Clin Ultrasound, 37(3): 125-31.
17. Padua L, Pazzaglia C, Caliandro P, Granata G, Foschini M, Briani C and Martinoli C (2008): Carpal tunnel syndrome: ultrasound, neurophysiology, clinical and patient-oriented assessment. Clin Neurophysiol., 119(9): 2064-2069.
18. Pastare D, Therimadasamy AK, Lee E and Wilder-Smith E. (2009): Sonography versus nerve conduction studies in patients referred with a clinical diagnosis of carpal tunnel syndrome. J Clin Ultrasound, 37(7): 380-93.
19. Rayegani S.M, Kargozar E, Eliaspour D, Raeissadat S.A, Sanati E and Bayat M. (2014): Diagnostic value of ultrasound compared to electro diagnosis in carpal tunnel syndrome. Patient Saf Qual Improv., 2(4): 142-147.
20. Roll SC, Case-Smith J and Evans KD. (2011): Diagnostic accuracy of ultrasonography vs electromyography in carpal tunnel syndrome: a systematic review of literature. Ultrasound Med Biol., 37: 1539–1553.
21. Tai TW, Wu CY, Su FC, Chern TC and Jou IM. (2012): Ultrasonography for diagnosing carpal tunnel syndrome: a meta-analysis of diagnostic test accuracy. Ultrasound Med Biol., 38: 1121-1128.
22. Wang LY. (2008): Best diagnostic criterion in high-resolution ultrasonography for carpal tunnel syndrome. Chang Gung Med J., 31(5): 469-76.
23. Werner RA and Andary M. (2011): Electrodiagnostic evaluation of carpal tunnel syndrome. Muscle Nerve, 44(4): 597–607.
24. Yurdakul OV, Mesci N, Cetinkaya Y and Kulcu DG. (2016): Diagnostic significance of ultrasonographic measurements and median-ulnar ratio in carpal tunnel syndrome: correlation with neve conduction studies. J Clin Neurol., 12(3): 289-294.