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A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study
Koji Fujita1, Takuro Watanabe2, Tomoyuki Kuroiwa1
1Department of Orthopedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
JMIR Mhealth and Uhealth
|October 6, 2019
Summary
A new app detects carpal tunnel syndrome (CTS) by analyzing thumb movements, offering early screening outside clinics. This system achieved 93% accuracy in identifying CTS, potentially preventing delayed diagnosis and treatment.
Area of Science:
- Neurology
- Medical Technology
- Biomechanical Analysis
Background:
- Carpal tunnel syndrome (CTS) is the most common neuropathy, caused by median nerve compression.
- Symptoms include hand numbness and pain, progressing to thenar muscle atrophy and impaired thumb function.
- Delayed diagnosis is common due to symptom neglect, hindering timely intervention and recovery.
Purpose of the Study:
- To develop a non-invasive, tablet-based screening system for carpal tunnel syndrome (CTS).
- To evaluate the accuracy of a system assessing thumb movement for CTS detection.
Main Methods:
- An iPad-based application recorded thumb movement speed and timing during a game.
- A support vector machine (SVM) algorithm analyzed thumb movements in 22 female CTS patients and 11 controls.
- Leave-one-out cross-validation was employed for real-time screening analysis.
Main Results:
- The CTS group exhibited significantly slower thumb speeds at 3 and 6 o'clock directions and longer movement times in multiple directions.
- The screening system achieved 93% sensitivity and 73% specificity in classifying CTS.
- The system correctly identified 93% of CTS cases (27/29 hands).
Conclusions:
- A novel app effectively identifies disturbances in thumb opposition movement, serving as a potential screening tool for CTS.
- This technology may facilitate early detection of moderate-to-severe CTS, encouraging specialist consultation.
- Early detection via this app could lead to improved patient outcomes and potential healthcare cost savings.
