scholarly journals Ultrasonographic median nerve cross-section areas measured by 8-point "inching test" for idiopathic carpal tunnel syndrome: a correlation of nerve conduction study severity and duration of clinical symptoms

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Shu-Fang Chen ◽  
Cheng-Hsien Lu ◽  
Chi-Ren Huang ◽  
Yao-Chung Chuang ◽  
Nai-Wen Tsai ◽  
...  
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Cross Section ◽  
Carpal Tunnel ◽  
Nerve Conduction Study ◽  
Nerve Conduction ◽  
Clinical Symptoms ◽  
Idiopathic Carpal Tunnel Syndrome ◽  
Tunnel Syndrome

scholarly journals SENSITIVITY AND SPECIFICITY OF MEDIAN NERVE ULTRASONOGRAPHY IN DIAGNOSIS OF CARPAL TUNNEL SYNDROME

2021 ◽  
pp. 1-4
Author(s):  
Maripi Gnani ◽  
Sirisha Naidu ◽  
Ch. Madhavi ◽  
G.S. Kejriwal
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Sensitivity And Specificity ◽  
Cross Section ◽  
Cross Sections ◽  
Carpal Tunnel ◽  
Nerve Conduction ◽  
Gold Standard ◽  
Tunnel Syndrome ◽  
Nerve Ultrasonography

Background: Although controversial, recent studies have demonstrated advantages of sonographic techniques in the diagnosis of carpal tunnel syndrome (CTS). The purpose of this study was to assess the utility of median nerve ultrasonography in the diagnosis of CTS in Indian patients. Methods: Ninety patents with clinically suspected CTS were studied. Based on gold standard electromyography/nerve conduction ve-locity studies, wrists with CTS were divided into three groups on the basis of severity of CTS, ie, mild, moderate, and severe. In addition, both sides of the wrist were examined using sonography. Transverse images of the median nerve were obtained and median nerve cross-section areas were measured at three levels, ie, immediately proximal to the carpal tunnel inlet, at the carpal tunnel inlet, and at the carpal tunnel outlet. Furthermore, flexor retinaculum thickness was evaluated. Results: The mean age of the studied patients was 48.52  12.17 years. Median values of the median nerve cross-section at the carpal tunnel in-let, carpal tunnel outlet, and proximal carpal tunnel significantly differed between the wrists with and without CTS (P < 0.05). Comparisons be-tween the CTS groups (mild, moderate, and severe) and non-CTS wrists demonstrated that the median cross-sections of median nerve at the carpal tunnel inlet, carpal tunnel outlet, and inlet proximal carpal tunnel were significantly greater in the severe CTS group than in the other three groups (P < 0.05). The results showed that the median nerve cross-section at the three levels of carpal tunnel could only fairly differentiate se-vere CTS from other cases. Conclusion: The present study demonstrated that median nerve ultrasonography cannot replace the gold standard test (nerve conduction velocity) for the diagnosis of CTS because of low overall sensitivity and specificity, although it might provide useful information in some patients.

Worker Monitoring Tests for Carpal Tunnel Syndrome: Results from an Industrial Longitudinal Study

2000 ◽  
Vol 44 (30) ◽  
pp. 5-553-5-556
Author(s):  
Mary Sesto ◽  
Robert G. Radwin ◽  
Frank Salvi ◽  
Ronald Manning
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Carpal Tunnel ◽  
Nerve Conduction Study ◽  
Nerve Conduction ◽  
Physical Exam ◽  
Automotive Manufacturing ◽  
Sensory Test ◽  
Tunnel Syndrome ◽  
Test Outcomes

This paper presents the initial findings from a study using two computer-controlled functional tests for sensory and motor deficits in carpal tunnel syndrome (CTS). The gap detection sensory test quantifies dynamic tactile inspection thresholds for areas of the hand innervated by the median nerve. The rapid pinch and release psychomotor test measures the initiation and control of specific muscles innervated by the median nerve motor branch. The purpose of this ongoing study is to evaluate industrial subjects recruited from varying high risk industrial settings, such as poultry processing, automotive manufacturing, plastics manufacturing, assembly, and newspaper publishing for longitudinal changes in test outcomes. A total of 169 subjects were tested during the first year of this study. All subjects completed a symptom survey, underwent a physical examination of the upper limbs, shoulder and neck, had a nerve conduction study (NCS), and were administered the Wisconsin Test Battery. Both hands of the subjects are examined and categorized by presence of absence of physical exam findings, self-reported symptoms, and nerve conduction study (NCS) results. The data was analyzed for differences between subjects reporting positive or negative symptoms, and positive or negative physical exam and NCS findings. In summary, the psychomotor and sensory test outcomes were related to objective NCS findings but it is interesting to note that symptoms alone were not significantly associated with functional sensory or psychomotor performance. Unlike our previous studies, where CTS patients in the electromyography (EMG) clinic seeking medical assistance were tested, all subjects were from a working population. It is likely that most of the positive exam and NCS subjects in the current study involve CTS symptoms that are less severe than our previous studies using EMG clinic subjects, many whom were preparing for surgery.

scholarly journals Automatic Electrodiagnosis of Carpal Tunnel Syndrome Using Machine Learning

2021 ◽  
Vol 8 (11) ◽  
pp. 181
Author(s):  
Konstantinos I. Tsamis ◽  
Prokopis Kontogiannis ◽  
Ioannis Gourgiotis ◽  
Stefanos Ntabos ◽  
Ioannis Sarmas ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Carpal Tunnel ◽  
Nerve Conduction ◽  
Automatic Detection ◽  
Nerve Conduction Studies ◽  
Machine Learning Techniques ◽  
Tunnel Syndrome

Recent literature has revealed a long discussion about the importance and necessity of nerve conduction studies in carpal tunnel syndrome management. The purpose of this study was to investigate the possibility of automatic detection, based on electrodiagnostic features, for the median nerve mononeuropathy and decision making about carpal tunnel syndrome. The study included 38 volunteers, examined prospectively. The purpose was to investigate the possibility of automatically detecting the median nerve mononeuropathy based on common electrodiagnostic criteria, used in everyday clinical practice, as well as new features selected based on physiology and mathematics. Machine learning techniques were used to combine the examined characteristics for a stable and accurate diagnosis. Automatic electrodiagnosis reached an accuracy of 95% compared to the standard neurophysiological diagnosis of the physicians with nerve conduction studies and 89% compared to the clinical diagnosis. The results show that the automatic detection of carpal tunnel syndrome is possible and can be employed in decision making, excluding human error. It is also shown that the novel features investigated can be used for the detection of the syndrome, complementary to the commonly used ones, increasing the accuracy of the method.

Sign in / Sign up

Export Citation Format

Share Document