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A Simple Method to Locate the Master Knot of Henry Using the Correlation between the Flexor Tendon Length Parameter and the Foot Length.
Park, Kwang Rak; Park, Won-Jin; Lee, Si-Wook; Kim, Hongtae; Lee, Hyunsu; Lee, Jae-Ho.
Afiliação
  • Park KR; Department of Anatomy, Keimyung University College of Medicine, Daegu 42601, Korea.
  • Park WJ; Department of Anatomy, Keimyung University College of Medicine, Daegu 42601, Korea.
  • Lee SW; Department of Orthopedic Surgery, Dongsan Medical Center, School of Medicine, Keimyung University, Daegu 42601, Korea.
  • Kim H; Department of Anatomy, School of Medicine, Daegu Catholic University, Daegu 42472, Korea.
  • Lee H; Department of Anatomy, Keimyung University College of Medicine, Daegu 42601, Korea.
  • Lee JH; Department of Anatomy, Keimyung University College of Medicine, Daegu 42601, Korea.
Article em En | MEDLINE | ID: mdl-35206468
The precise location of the Master Knot of Henry (MKH) has important clinical significance, but its anatomical definition has not been agreed upon. The purpose of this study is to present a linear regression equation for predicting length variables based on foot length, by evaluating the correlation of length variables related to flexor hallucis longus (FHL) and flexor digitorum longus (FDL), with respect to the location of the MKH. A total of 95 limbs were dissected from 48 adult cadavers, and were fixed in formalin. Measurements were made for the length parameter, with reference to the landmark. The relevance between length variables was analyzed through simple correlation analysis and linear regression analysis. The foot length was 213.69 ± 17.53 mm, MKH-great toe distal phalanx was 140.16 ± 14.69 mm, MKH-FHL insertion was 124.55 ± 13.46 mm, MKH-little toe distal phalanx was 121.79 ± 13.41 mm, MKH-FDL little toe insertion was 109.07 ± 14.16 mm, and the FHL-FDL angle was 33.15 ± 5.39. The correlation coefficient between all the length variables for foot length showed a high positive correlation. We derived a regression equation that can predict the length of each variable. This regression formula is considered to be highly useful because it can estimate the positional relationship of the MKH relatively simply.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tendões / Pé Tipo de estudo: Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tendões / Pé Tipo de estudo: Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de publicação: Suíça