Literature DB >> 20354474

Myelopathy hand: new evidence of the classical sign.

Noboru Hosono1, Takahiro Makino, Hironobu Sakaura, Yoshihiro Mukai, Takeshi Fuji, Hideki Yoshikawa.   

Abstract

STUDY
DESIGN: Motion analysis on video files that captured grip and release cycles with fingers.
OBJECTIVE: To reveal the kinematic characteristics of finger motion in cervical myelopathy. SUMMARY OF BACKGROUND DATA: Myelopathy patients are often unable to smoothly move their fingers in grip and release cycles. Although paradoxical wrist motion (trick motion) and lack of finger coordination are well-known phenomena in myelopathy patients, it is not known which types of myelopathy patients present with these kinematic characteristics, and it is not known why they occur.
METHODS: Thirty patients with myelopathy were evaluated before and after decompressive surgery and compared with 42 healthy controls. The subjects were asked to grip and release with their fingers as rapidly as possible for 15 seconds. Movies taken with a digital camera were divided into 3 animation files of 5-seconds each. Three physicians independently counted the number of finger grip and release cycles of those files in a blinded manner; they also evaluated trick motion of the wrist and lack of finger coordination.
RESULTS: Both the frequency of trick motion and that of uncoordinated finger motion were significantly higher in the preoperative myelopathy group than in the control group (trick motion, 11.7% vs. 4.8% and uncoordinated finger motion, 15.6% vs. 7.1%), but were the same in the pre- and postoperative myelopathy groups. In the preoperative myelopathy group, the number of grip and release cycles of uncoordinated finger motion files, especially ulnar delay type, was significantly smaller than that of coordinated finger motion files, which meant uncoordinated finger motion was related to the severity of myelopathy.
CONCLUSION: Both uncoordinated finger motion and trick motion of the wrist were more frequent in myelopathy patients than in healthy controls, and uncoordinated finger motion was associated with severity of myelopathy, whereas trick motion was not associated with either severity of myelopathy or level of cord compression. These findings contradict the conventional idea that trick motion is associated with the severity of myelopathy.

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Year:  2010        PMID: 20354474     DOI: 10.1097/BRS.0b013e3181c6afeb

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  6 in total

1.  Development of a new assessment tool for cervical myelopathy using hand-tracking sensor: Part 1: validity and reliability.

Authors:  M Abdulhadi Alagha; Mahmoud A Alagha; Eleanor Dunstan; Olaf Sperwer; Kate A Timmins; Bronek M Boszczyk
Journal:  Eur Spine J       Date:  2017-01-19       Impact factor: 3.134

2.  Development of a new assessment tool for cervical myelopathy using hand-tracking sensor: Part 2: normative values.

Authors:  M Abdulhadi Alagha; Mahmoud A Alagha; Eleanor Dunstan; Olaf Sperwer; Kate A Timmins; Bronek M Boszczyk
Journal:  Eur Spine J       Date:  2017-01-19       Impact factor: 3.134

3.  Epidemiological study of cervical cord compression and its clinical symptoms in community-dwelling residents.

Authors:  Toru Hirai; Koji Otani; Miho Sekiguchi; Shin-Ichi Kikuchi; Shin-Ichi Konno
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

4.  Tally counter test as a simple and objective assessment of cervical myelopathy.

Authors:  Atsushi Kimura; Atsushi Seichi; Teruaki Endo; Yusuke Norimatsu; Hirokazu Inoue; Takahiro Higashi; Yuichi Hoshino
Journal:  Eur Spine J       Date:  2012-11-21       Impact factor: 3.134

5.  The Functional Relevance of Diffusion Tensor Imaging in Patients with Degenerative Cervical Myelopathy.

Authors:  Stefania d'Avanzo; Marco Ciavarro; Luigi Pavone; Gabriele Pasqua; Francesco Ricciardi; Marcello Bartolo; Domenico Solari; Teresa Somma; Oreste de Divitiis; Paolo Cappabianca; Gualtiero Innocenzi
Journal:  J Clin Med       Date:  2020-06-11       Impact factor: 4.241

6.  Visualizing and Evaluating Finger Movement Using Combined Acceleration and Contact-Force Sensors: A Proof-of-Concept Study.

Authors:  Hitomi Oigawa; Yoshiro Musha; Youhei Ishimine; Sumito Kinjo; Yuya Takesue; Hideyuki Negoro; Tomohiro Umeda
Journal:  Sensors (Basel)       Date:  2021-03-09       Impact factor: 3.576

  6 in total

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