著者 Furumatsu, Takayuki| Shukunami, Chisa| Amemiya-Kudo, Michiyo| Shimano, Hitoshi| Ozaki, Toshifumi|
発行日 2010-01
出版物タイトル The International Journal of Biochemistry & Cell Biology
42巻
1号
資料タイプ 学術雑誌論文
著者 Tetsunaga, Tomonori| Furumatsu, Takayuki| Abe, Nobuhiro| Nishida, Keiichiro| Naruse, Keiji| Ozaki, Toshifumi|
発行日 2009-09-18
出版物タイトル Journal of Biomechanics
42巻
13号
資料タイプ 学術雑誌論文
著者 Furumatsu, Takayuki| Ozaki, Toshifumi| Asahara, Hiroshi|
発行日 2009-05
出版物タイトル The International Journal of Biochemistry & Cell Biology
41巻
5号
資料タイプ 学術雑誌論文
JaLCDOI 10.18926/AMO/30974
フルテキストURL fulltext.pdf
著者 Ikuma, Hisanori| Abe, Nobuhiro| Uchida, Youichiro| Furumatsu, Takayuki| Fujiwara, Kazuo| Nishida, Keiichiro| Ozaki, Toshifumi|
抄録 <p>Instability of the knee after the medial collateral ligament (MCL) injury is usually assessed with the manual valgus stress test, even though, in recent years, it has become possible to apply magnetic resonance imaging (MRI) to the assessment of the damage of the ligament. The valgus instability of 24 patients (12 isolated injuries and 12 multiple ligament injuries) who suffered MCL injury between 1993 and 1998 was evaluated with the Hughston and Eilers classification, which involves radiographic assessment under manual valgus stress to the injured knees. We developed a novel system for classifying the degree of injury to the MCL by calculating the percentage of injured area based on MRI and investigated the relationship between this novel MRI classification and the magnitude of valgus instability by the Hughston and Eilers classification. There was a significant correlation between the 2 classifications (p=0.0006). On the other hand, the results using other MRI based classification systems, such as the Mink and Deutsch classificaiton and the Petermann classification, were not correlated with the findings by the Hughston and Eilers classification in these cases (p0.05). Since MRI is capable of assessing the injured ligament in clinical practice, this novel classification system would be useful for evaluating the stability of the knee and choosing an appropriate treatment following MCL injury.</p>
キーワード medial collateral ligament magnetic resonance imaging knee instability novel method
Amo Type Original Article
発行日 2008-06
出版物タイトル Acta Medica Okayama
62巻
3号
出版者 Okayama University Medical School
開始ページ 185
終了ページ 191
ISSN 0386-300X
NCID AA00508441
資料タイプ 学術雑誌論文
言語 English
論文のバージョン publisher
査読 有り
PubMed ID 18596835
Web of Science KeyUT 000257130300006
フルテキストURL K002286.pdf
著者 古松 毅之|
発行日 2002-03-25
資料タイプ 学位論文
学位授与番号 甲第2286号
学位授与年月日 2002-03-25
学位・専攻分野 博士(医学)
授与大学 岡山大学
言語 Japanese
JaLCDOI 10.18926/AMO/32013
フルテキストURL fulltext.pdf
著者 Ohzawa, Seiya| Takahara, Yasuhiro| Furumatsu, Takayuki| Inoue, Hajime|
抄録 <p>The authors analyzed the 5-year and 9-year survival in 134 of 165 patients who underwent total knee arthroplasties from 1989 to 1996 in our department. Patients were followed until December 31, 1998, or until the time of death. Diagnoses were rheumatoid arthritis in 81 patients (132 knees) and osteoarthritis in 53 patients (79 knees). The survival of the patients was compared to that of the age- and sex-adjusted general population. Kaplan-Meier survival curves were constructed. Twenty-two patients in the study died before the end of the follow-up. The cumulative 5-year patient survival was 88.7%, and 9-year patient survival was 64.4% for total knee arthroplasty patients. The standardized mortality ratio was 0.11 (95% confidence interval: 0.02-0.40) for the patients with osteoarthritis, and 0.81 (95% confidence interval: 0.52-1.25) for the patients with rheumatoid arthritis. The Cox proportional hazards model showed that the factors of male sex and rheumatoid arthritis were related to a higher mortality rate in the total knee arthroplasty group.</p>
キーワード total knee authroplasy patient survival rheumatoid arthritis
Amo Type Article
発行日 2001-11
出版物タイトル Acta Medica Okayama
55巻
5号
出版者 Okayama University Medical School
開始ページ 295
終了ページ 299
ISSN 0386-300X
NCID AA00508441
資料タイプ 学術雑誌論文
言語 English
論文のバージョン publisher
査読 有り
PubMed ID 11688953
Web of Science KeyUT 000171635400006