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ID 49255
JaLCDOI
フルテキストURL
Thumnail 67_1_35.pdf 836 KB
著者
Watanabe, Masutaka Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Arita, Seizaburo Department of Faculty of Life and Medical Sciences, Doshisha University
Hashizume, Hiroyuki Department of Kasaoka Hand & UE Center, Kasaoka Daiichi Hospital
Honda, Mitsugi Department of Central Division of Radiology, Okayama University Hospital
Nishida, Keiichiro Department of Human Morphology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Kaken ID
Ozaki, Toshifumi Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Kaken ID
抄録
The purpose of this study was to quantitatively evaluate Akahori's preoperative classification of cubital tunnel syndrome. We analyzed the results for 57 elbows that were treated by a simple decompression procedure from 1997 to 2004. The relationship between each item of Akahori's preoperative classification and clinical stage was investigated based on the parameter distribution. We evaluated Akahori's classification system using multiple regression analysis, and investigated the association between the stage and treatment results. The usefulness of the regression equation was evaluated by analysis of variance of the expected and observed scores. In the parameter distribution, each item of Akahori's classification was mostly associated with the stage, but it was difficult to judge the severity of palsy. In the mathematical evaluation, the most effective item in determining the stage was sensory conduction velocity. It was demonstrated that the established regression equation was highly reliable (R=0.922). Akahori's preoperative classification can also be used in postoperative classification, and this classification was correlated with postoperative prognosis. Our results indicate that Akahori's preoperative classification is a suitable system. It is reliable, reproducible and well-correlated with the postoperative prognosis. In addition, the established prediction formula is useful to reduce the diagnostic complexity of Akahori's classification.
キーワード
cubital tunnel syndrome
ulnar nerve
Akahoriʼs classification
multiple regression analysis
Amo Type
Original Article
発行日
2013-02
出版物タイトル
Acta Medica Okayama
67巻
1号
出版者
Okayama University Medical School
開始ページ
35
終了ページ
44
ISSN
0386-300X
NCID
AA00508441
資料タイプ
学術雑誌論文
言語
English
著作権者
CopyrightⒸ 2013 by Okayama University Medical School
論文のバージョン
publisher
査読
有り
PubMed ID
Web of Science KeyUT
関連URL
http://ousar.lib.okayama-u.ac.jp/metadata/50647