Literature DB >> 20006336

Using relative velocity vectors to reveal axial rotation about the medial and lateral compartment of the knee.

William J Anderst1, Scott Tashman.   

Abstract

A new technique is presented that utilizes relative velocity vectors between articulating surfaces to characterize internal/external rotation of the tibio-femoral joint during dynamic loading. Precise tibio-femoral motion was determined by tracking the movement of implanted tantalum beads in high-speed biplane X-rays. Three-dimensional, subject-specific CT reconstructions of the femur and tibia, consisting of triangular mesh elements, were positioned in each analyzed frame. The minimum distance between subchondral bone surfaces was recorded for each mesh element comprising each bone surface, and the relative velocity between these opposing closest surface elements was determined in each frame. Internal/external rotation was visualized by superimposing tangential relative velocity vectors onto bone surfaces at each instant. Rotation about medial and lateral compartments was quantified by calculating the angle between these tangential relative vectors within each compartment. Results acquired from 68 test sessions involving 23 dogs indicated a consistent pattern of sequential rotation about the lateral condyle (approximately 60 ms after paw strike) followed by rotation about the medial condyle (approximately 100 ms after paw strike). These results imply that axial knee rotation follows a repeatable pattern within and among subjects. This pattern involves rotation about both the lateral and medial compartments. The technique described can be easily applied to study human knee internal/external rotation during a variety of activities. This information may be useful to define normal and pathologic conditions, to confirm post-surgical restoration of knee mechanics, and to design more realistic prosthetic devices. Furthermore, analysis of joint arthrokinematics, such as those described, may identify changes in joint mechanics associated with joint degeneration. Copyright (c) 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 20006336      PMCID: PMC2834859          DOI: 10.1016/j.jbiomech.2009.11.014

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

1.  A method to estimate in vivo dynamic articular surface interaction.

Authors:  William J Anderst; Scott Tashman
Journal:  J Biomech       Date:  2003-09       Impact factor: 2.712

Review 2.  The movement of the normal tibio-femoral joint.

Authors:  M A R Freeman; V Pinskerova
Journal:  J Biomech       Date:  2005-02       Impact factor: 2.712

3.  The finite helical axis of the knee joint (a non-invasive in vivo study using fast-PC MRI).

Authors:  Frances T Sheehan
Journal:  J Biomech       Date:  2006-12-04       Impact factor: 2.712

4.  In vivo articular cartilage contact kinematics of the knee: an investigation using dual-orthogonal fluoroscopy and magnetic resonance image-based computer models.

Authors:  Guoan Li; Louis E DeFrate; Sang Eun Park; Thomas J Gill; Harry E Rubash
Journal:  Am J Sports Med       Date:  2005-01       Impact factor: 6.202

5.  The knee joint center of rotation is predominantly on the lateral side during normal walking.

Authors:  Seungbum Koo; Thomas P Andriacchi
Journal:  J Biomech       Date:  2008-03-04       Impact factor: 2.712

6.  Transverse rotation of the segments of the lower extremity in locomotion.

Authors:  A S LEVENS; V T INMAN; J A BLOSSER
Journal:  J Bone Joint Surg Am       Date:  1948-10       Impact factor: 5.284

7.  Effect of skin movement on the analysis of skeletal knee joint motion during running.

Authors:  C Reinschmidt; A J van den Bogert; B M Nigg; A Lundberg; N Murphy
Journal:  J Biomech       Date:  1997-07       Impact factor: 2.712

8.  Centers and angles of rotation of body joints: a study of errors and optimization.

Authors:  M M Panjabi
Journal:  J Biomech       Date:  1979       Impact factor: 2.712

9.  A joint coordinate system for the clinical description of three-dimensional motions: application to the knee.

Authors:  E S Grood; W J Suntay
Journal:  J Biomech Eng       Date:  1983-05       Impact factor: 2.097

10.  In vivo tibiofemoral contact analysis using 3D MRI-based knee models.

Authors:  Louis E DeFrate; Hao Sun; Thomas J Gill; Harry E Rubash; Guoan Li
Journal:  J Biomech       Date:  2004-10       Impact factor: 2.712

View more
  5 in total

1.  Internal tibial rotation during in vivo, dynamic activity induces greater sliding of tibio-femoral joint contact on the medial compartment.

Authors:  Yuichi Hoshino; Scott Tashman
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-10-25       Impact factor: 4.342

2.  Measurement of in vivo anterior cruciate ligament strain during dynamic jump landing.

Authors:  K A Taylor; M E Terry; G M Utturkar; C E Spritzer; R M Queen; L A Irribarra; W E Garrett; L E DeFrate
Journal:  J Biomech       Date:  2010-11-18       Impact factor: 2.712

3.  Mechanobehavioral Scores in Women with and without TMJ Disc Displacement.

Authors:  L R Iwasaki; Y M Gonzalez; Y Liu; H Liu; M Markova; L M Gallo; J C Nickel
Journal:  J Dent Res       Date:  2017-04-17       Impact factor: 6.116

4.  Knee biomechanics during a jump-cut maneuver: effects of sex and ACL surgery.

Authors:  Daniel L Miranda; Paul D Fadale; Michael J Hulstyn; Robert M Shalvoy; Jason T Machan; Braden C Fleming
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

5.  Relative movement on the articular surfaces of the tibiotalar and subtalar joints during walking.

Authors:  C-B Phan; D-P Nguyen; K M Lee; S Koo
Journal:  Bone Joint Res       Date:  2018-09-15       Impact factor: 5.853

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.