Diagnosis of carpal tunnel syndrome using a 10-s grip-and-release test with video and machine learning analysis-Reference-Cited by-同舟云学术

Diagnosis of carpal tunnel syndrome using a 10-s grip-and-release test with video and machine learning analysis

Published:2023-11-22 Issue: Volume: Page:
ISSN:1753-1934
Container-title:Journal of Hand Surgery (European Volume)
language:en
Short-container-title:J Hand Surg Eur Vol

Author:

Tsukamoto Kazuya¹,Matsui Ryota²,Sugiura Yuta²,Fujita Koji³⁴^ORCID

Affiliation:

1. Department of Orthopedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan

2. School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, Yokohama, Japan

3. Department of Functional Joint Anatomy, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan

4. Division of Medical Design Innovations, Open Innovation Center, Institute of Research Innovation, Tokyo Medical and Dental University, Tokyo, Japan

Abstract

We developed a finger motion-based diagnostic system for carpal tunnel syndrome by analysing 10 second grip-and-release test videos. Using machine learning, it estimated presence of carpal tunnel syndrome (89% sensitivity and 83% specificity) and correlated with severity on nerve conduction studies (coefficient 0.68). Level of evidence III

Publisher

SAGE Publications

Subject

Surgery

Link

http://journals.sagepub.com/doi/pdf/10.1177/17531934231214661

Reference4 articles.

1. Screening for degenerative cervical myelopathy with the 10-second grip-and-release test using a smartphone and machine learning: A pilot study

2. Somatosensory cortical plasticity in carpal tunnel syndrome—a cross-sectional fMRI evaluation

3. Assessment of grip-motion characteristics in carpal tunnel syndrome patients using a novel finger grip dynamometer system