The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing: Case-Control Study (Preprint)

2021 ◽  
Author(s):  
Takuro Watanabe ◽  
Takafumi Koyama ◽  
Eriku Yamada ◽  
Akimoto Nimura ◽  
Koji Fujita ◽  
...  
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Wrist Joint ◽  
Screening Method ◽  
Ring Finger ◽  
Manual Dexterity ◽  
Training Data ◽  
Support Vector ◽  
Initial Symptoms ◽  
Tunnel Syndrome

BACKGROUND Carpal tunnel syndrome (CTS) is an entrapment neuropathy that occurs due to compression of the median nerve as it passes through the carpal tunnel at the wrist joint. The initial symptoms are numbness and sensory disturbance from the thumb to the ring finger. As CTS becomes severe, thumb motion is reduced, which affects manual dexterity. Patients begin to experience symptoms such as difficulties in writing. OBJECTIVE We developed a screening method for CTS using a tablet and stylus, focusing on writing motion, and verified its accuracy. METHODS We recruited 33 patients with CTS and 31 healthy volunteers for this study. The patients in the CTS group were diagnosed with CTS by hand surgeons in the orthopedic outpatient clinic based on physical examination and nerve conduction studies. We developed a tablet app to measure the stylus trajectory and pressure of the stylus tip when drawing a spiral on a tablet screen using a stylus and subsequently used these data as training data to predict the participants as non-CTS or CTS using a support vector machine. RESULTS Non-CTS and CTS were classified with 82% sensitivity and 71% specificity. The area under the curve was 0.81. CONCLUSIONS We proposed a CTS screening method that focuses on manual dexterity. This method can facilitate the screening for potential patients with CTS and provide a quantitative assessment of CTS.

scholarly journals The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing

2021 ◽  
Vol 10 (19) ◽  
pp. 4437
Author(s):  
Takuro Watanabe ◽  
Takafumi Koyama ◽  
Eriku Yamada ◽  
Akimoto Nimura ◽  
Koji Fujita ◽  
...  
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Quantitative Assessment ◽  
Screening Method ◽  
Training Data ◽  
Support Vector ◽  
Screening System ◽  
Tunnel Syndrome ◽  
Thumb Motion

When carpal tunnel syndrome (CTS), an entrapment neuropathy, becomes severe, thumb motion is reduced, which affects manual dexterity, such as causing difficulties in writing; therefore, early detection of CTS by screening is desirable. To develop a screening method for CTS, we developed a tablet app to measure the stylus trajectory and pressure of the stylus tip when drawing a spiral on a tablet screen using a stylus and, subsequently, used these data as training data to predict the classification of participants as non-CTS or CTS patients using a support vector machine. We recruited 33 patients with CTS and 31 healthy volunteers for this study. From our results, non-CTS and CTS were classified by our screening method with 82% sensitivity and 71% specificity. Our CTS screening method can facilitate the screening for potential patients with CTS and provide a quantitative assessment of CTS.

scholarly journals Body mass index and carpal tunnel syndrome

2000 ◽  
Vol 58 (2A) ◽  
pp. 252-256 ◽  
Author(s):  
JOAO ARIS KOUYOUMDJIAN ◽  
MARIA DA PENHA ANANIAS MORITA ◽  
PAULO RICARDO FERNANDO ROCHA ◽  
RAFAEL CARLOS MIRANDA ◽  
GUSTAVO MACIEL GOUVEIA
Keyword(s):  
Body Mass Index ◽  
Carpal Tunnel Syndrome ◽  
Body Mass ◽  
Carpal Tunnel ◽  
Ring Finger ◽  
Additional Increase ◽  
Significant Difference ◽  
Tunnel Syndrome ◽  
Increasing Risk ◽  
Sensory Latency

Carpal tunnel syndrome (CTS) has been correlated to body mass index (BMI) increase. The present study was done in a Brazilian population to compare BMI values in the following groups: first, CTS vs. controls subjects, and, second CTS groups of increasing median sensory latency (MSL). According to MSL > or = 3.7 ms (wrist-index finger, 14 cm), median/ulnar sensory latency difference > or = 0.5 ms (ring finger, 14 cm) or median palm-to-wrist (8 cm) latency > or = 2.3 ms (all peak-measured), 141 cases (238 hands) had CTS confirmation. All were symptomatic; previous surgery and polyneuropathy were excluded; mean age 50.3; 90.8% female. Controls subjects (n=243; mean age 43.0; 96.7% female) and CTS cases had BMI calculated (kg/m²). Controls subjects had a mean BMI of 25.43±4.80 versus 28.38±4.69 of all CTS cases, a statistically significant difference (p < 0.001). The CTS groups of increasing MSL severity do not show additional increase in BMI (28.44 for incipient, 28.27 for mild, 28.75 for moderate and 29.0 for severe). We conclude that CTS cases have a significant correlation with higher BMI when compared to controls subjects; however, higher BMI do not represent a statistically significant increasing risk for more severe MSL.

scholarly journals Synovial Angioma of the FDP Flexor Sheath: A Rare Cause of Carpal Tunnel Syndrome

2013 ◽  
Vol 7 (1) ◽  
pp. 72-74 ◽  
Author(s):  
Robert George ◽  
Kenneth Lee
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Soft Tissue ◽  
Carpal Tunnel ◽  
Ring Finger ◽  
Dominant Male ◽  
Tumour Resection ◽  
Tissue Mass ◽  
Surgical Exploration ◽  
Compressive Neuropathy ◽  
Tunnel Syndrome

It has been previously noted that synovial haemangiomas in the hand and wrist are very rare pathological entities. We report the case of a 34-year-old right hand dominant male who presented to his general practitioner with an enlarging left volar wrist/ palmar mass, who further developed symptoms consistent with carpal tunnel syndrome. An MRI scan subsequently confirmed a large, complex mass with area of necrosis and peripheral enhancement. The rate of mass growth and radiological features raised the possibility of a soft tissue malignancy, and the gentleman was urgently referred to our unit for surgical exploration and removal of tumour. Surgical exploration demonstrated a tan-coloured soft tissue mass on the ulnar aspect of the median nerve. It appeared to arise from, and marginally infiltrated, the tendon sheath of the FDP tendon to the ring finger and the lumbrical muscle of the fourth ray; the distal and proximal extent of the tumour was difficult to define due to the diffuse growth of the tumour. Resection was achieved with macroscopic margins, with excellent functional recovery immediately and at 6 month follow-up. Histological analysis was consistent with a synovial haemangioma, comprising of numerous thin-walled blood vessels with a central cystic cavity containing blood and fibrin. Our case further demonstrates the diagnostic challenges posed by compressive neuropathy due to soft tissue masses, even with thorough clinical and radiological assessment. In the context of a rapidly growing tumour, malignancy must always be suspected and might highlight a role for pre-operative biopsy.

scholarly journals A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study

10.2196/26320 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e26320
Author(s):  
Takafumi Koyama ◽  
Shusuke Sato ◽  
Madoka Toriumi ◽  
Takuro Watanabe ◽  
Akimoto Nimura ◽  
...  
Keyword(s):  
Machine Learning ◽  
Carpal Tunnel Syndrome ◽  
Data Collection ◽  
Anomaly Detection ◽  
Carpal Tunnel ◽  
Medical Condition ◽  
Screening Method ◽  
Detection Algorithm ◽  
Thenar Muscle ◽  
Tunnel Syndrome

Background Carpal tunnel syndrome (CTS) is a medical condition caused by compression of the median nerve in the carpal tunnel due to aging or overuse of the hand. The symptoms include numbness of the fingers and atrophy of the thenar muscle. Thenar atrophy recovers slowly postoperatively; therefore, early diagnosis and surgery are important. While physical examinations and nerve conduction studies are used to diagnose CTS, problems with the diagnostic ability and equipment, respectively, exist. Despite research on a CTS-screening app that uses a tablet and machine learning, problems with the usage rate of tablets and data collection for machine learning remain. Objective To make data collection for machine learning easier and more available, we developed a screening app for CTS using a smartphone and an anomaly detection algorithm, aiming to examine our system as a useful screening tool for CTS. Methods In total, 36 participants were recruited, comprising 36 hands with CTS and 27 hands without CTS. Participants controlled the character in our app using their thumbs. We recorded the position of the thumbs and time; generated screening models that classified CTS and non-CTS using anomaly detection and an autoencoder; and calculated the sensitivity, specificity, and area under the curve (AUC). Results Participants with and without CTS were classified with 94% sensitivity, 67% specificity, and an AUC of 0.86. When dividing the data by direction, the model with data in the same direction as the thumb opposition had the highest AUC of 0.99, 92% sensitivity, and 100% specificity. Conclusions Our app could reveal the difficulty of thumb opposition for patients with CTS and screen for CTS with high sensitivity and specificity. The app is highly accessible because of the use of smartphones and can be easily enhanced by anomaly detection.

scholarly journals Carpal Tunnel Syndrome and its relation to dentist

2015 ◽  
Vol 27 (3) ◽  
Author(s):  
Nyoman Ayu Anggayanti ◽  
I Putu Gde Adiatmika
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Musculoskeletal Disorders ◽  
Carpal Tunnel ◽  
Wrist Joint ◽  
Compressive Force ◽  
Incidence Rates ◽  
Wrist Flexion ◽  
Entrapment Neuropathies ◽  
Compressive Neuropathy ◽  
Tunnel Syndrome

Introduction: Carpal Tunnel Syndrome (CTS) is a compressive neuropathy, caused by mechanical distortion produced by a compressive force of the median nerve at the level of the wrist. Primary sign is pain in the wrist, tingling sensation, pain or numbness in thumb, index finger, middle finger, and radial side of the ring finger, also there is a reduction of the grip strength and function of the affected hand. This sign tend to be worse at night and clumsiness during the activities that requiring wrist flexion. This syndrome is well-known and frequent accounts for 90% of all entrapment neuropathies. Incidence rates up to 276:100.000 per year. More common in females than in males, its occurrence is commonly bilaterally with a peak age range of 40 to 60 years. This is the productive age, which is often reported that the Carpal Tunnel Syndrome are work-related musculoskeletal disorders caused by strain and repeated movements. Disscussion: Dentist are high risks to go through musculoskeletal disorders covering wrist joint. The condition may happen because of the dentist position while handling patients is not in ergonomic position. These include repetitive prolonged hand activities, forceful static posture of wrist, vibration, and localized mechanical stress. To reduce the symptoms of musculoskeletal disorders since the beginning, has developed an integrated concept of teamwork in a modern dental practice. This concept is known as the four-handed dentistry which consists of dentists and assistants with their respective skills. Conclusion: The four-handed treatment techniques has been developed that is now largely acceptable. The concept of four-handed dentistry is expected to prevent the movement that makes the muscles tense, especially in the area around the wrist. And may ultimately reduce the incidence of Carpal Tunnel Syndrome

scholarly journals Prevalence of Carpal Tunnel syndrome among dental health care providers -systematic review protocol

2022 ◽  
Author(s):  
Kalyana Pentapati ◽  
◽  
Deepika Chenna ◽  
Mathangi Kumar ◽  
Medhini Madi ◽  
...  
Keyword(s):  
Health Care ◽  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Health Care Providers ◽  
Carpal Tunnel ◽  
Dental Health ◽  
Ring Finger ◽  
Care Providers ◽  
Dental Health Care ◽  
Tunnel Syndrome

Review question / Objective: What is the prevalence of Carpal Tunnel syndrome among dental health care providers? Condition being studied: Carpal tunnel syndrome is median nerve peripheral neuropathy which causes paresthesia, pain, and numbness in territory of median nerve (thumb, index, middle, and lateral half of the ring finger). Information sources: Pubmed, SCOPUS, EMBASE, CINAHL, Web of Sciences, Dentistry and Oral Science Source from inception to January 1st 2022.

scholarly journals Comparison of nerve conduction techniques in 95 mild carpal tunnel syndrome hands

1999 ◽  
Vol 57 (2A) ◽  
pp. 195-197 ◽  
Author(s):  
JOAO ARIS KOUYOUMDJIAN ◽  
MARIA DA PENHA ANANIAS MORITA
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Nerve Conduction ◽  
Index Finger ◽  
Comparative Method ◽  
Ring Finger ◽  
Tunnel Syndrome

Electrodiagnosis of carpal tunnel syndrome (CTS) were prospectively studied in 95 hands. The following techniques were studied in all hands and when at least one abnormal value was found (onset-measured), it was included on results: 1. wrist-index finger latency (WIF), abnormal > or = 2.8 ms, 140 mm; 2. palm-wrist latency (PW), abnormal > or = 1.8 ms, 80 mm; 3. comparison median/ulnar palm-wrist latency (CPW), abnormal > or = 0.4 ms; 4. comparison median/ulnar latency, wrist-ring finger (CMU), abnormal > or = 0.5 ms, 140 mm; 5. comparison median/radial latency, wrist-thumb (CMR), abnormal > or = 0.4 ms, 100 mm. All 95 CTS hands selected have the WIF <= 3.5 ms (mild CTS). We found the CMR (97.8%) technique the most sensitive for mild CTS electrodiagnosis and the only comparative method with all potentials recordable when compared to CPW (88.4%), PW (84.2%), CMU (72.6%) and WIF (68.4%).

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