論文

査読有り
2017年7月

Quantitative Sonographic Assessment of the Quadriceps Femoris Muscle in Healthy Japanese Adults

JOURNAL OF ULTRASOUND IN MEDICINE
  • Tsuneo Watanabe
  • ,
  • Hiroki Murakami
  • ,
  • Daisuke Fukuoka
  • ,
  • Nobuo Terabayashi
  • ,
  • Sohee Shin
  • ,
  • Tamotsu Yabumoto
  • ,
  • Hiroyasu Ito
  • ,
  • Hiroshi Fujita
  • ,
  • Toshio Matsuoka
  • ,
  • Mitsuru Seishima

36
7
開始ページ
1383
終了ページ
1395
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.7863/ultra.16.07054
出版者・発行元
WILEY

ObjectivesThe aim of this study was to evaluate the relationships among aging, muscle strength, and image feature analysis of the quadriceps femoris muscle and to evaluate the relationship between aging, muscle strength, and sonographic findings.
MethodsOne hundred forty-five healthy volunteers participated in the study. The participants were classified into 6 groups on the basis of sex and age. To assess muscle quality, texture analysis was defined with the following parameters: mean, skewness, kurtosis, inverse difference moment, sum of entropy, and angular second moment. The knee extension force in the sitting position and thickness of the quadriceps femoris muscle were also measured.
ResultsThe quadriceps femoris thickness, skewness, kurtosis, inverse difference moment, angular second moment, and muscle strength were significantly decreased in elderly participants versus those in the younger and middle-aged groups (P < .05). In contrast, the mean and sum of entropy were significantly decreased in the younger group compared with the middle-aged and elderly groups.
ConclusionsSonography has the capacity to quantitatively assess muscular morphologic changes due to aging and could be a valuable tool for early detection of musculoskeletal disorders.

リンク情報
DOI
https://doi.org/10.7863/ultra.16.07054
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28390140
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000403724400011&DestApp=WOS_CPL
ID情報
  • DOI : 10.7863/ultra.16.07054
  • ISSN : 0278-4297
  • eISSN : 1550-9613
  • PubMed ID : 28390140
  • Web of Science ID : WOS:000403724400011

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