Literature DB >> 32383042

Prediction of Knee Kinematics at the Time of Noncontact Anterior Cruciate Ligament Injuries Based on the Bone Bruises.

Huijuan Shi1,2, Li Ding1, Shuang Ren2, Yanfang Jiang2, Haocheng Zhang1, Xiaoqing Hu2, Hongshi Huang3, Yingfang Ao4.   

Abstract

Biomechanical risk factors associated with the alignment and position of the knee for anterior cruciate ligament (ACL) injury are still not conclusive. As bone bruises identified on magnetic resonance imaging (MRI) following acute ACL injury could represent the impact footprint at the time of injury. To improve understanding of the ACL injury mechanism, we aimed to determine the knee kinematics during ACL injury based on the bone bruises. Knee MRI scans of patients who underwent acute noncontact ACL injuries were acquired. Numerical optimization was used to match the bone bruises of the femur and tibia and predict the knee positions during injury. Knee angles were compared between MRI measured position and predicted position. The knee flexion, abduction, and external tibial rotation angles were significantly greater in the predicted position than that in MRI measured position. Relative to MRI measured position, patients had a mean of 34.3 mm of anterior tibial translation, 4.0 mm of lateral tibial translation, and 16.0 mm superior tibial translation in the predicted position. The results suggest that knee valgus and external tibial rotation accompanied by knee flexion are high-risk movement pattern for ACL injury in patients with lateral compartment bone bruising in conjunction with ACL injury.

Entities:  

Keywords:  Anterior cruciate ligament; Bone bruise; Injury mechanism; Magnetic resonance imaging

Year:  2020        PMID: 32383042     DOI: 10.1007/s10439-020-02523-y

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  39 in total

1.  The 6 degrees of freedom kinematics of the knee after anterior cruciate ligament deficiency: an in vivo imaging analysis.

Authors:  Louis E Defrate; Ramprasad Papannagari; Thomas J Gill; Jeremy M Moses; Neil P Pathare; Guoan Li
Journal:  Am J Sports Med       Date:  2006-04-24       Impact factor: 6.202

2.  The effect of weightbearing and external loading on anterior cruciate ligament strain.

Authors:  B C Fleming; P A Renstrom; B D Beynnon; B Engstrom; G D Peura; G J Badger; R J Johnson
Journal:  J Biomech       Date:  2001-02       Impact factor: 2.712

3.  Strain in the anteromedial bundle of the anterior cruciate ligament under combination loading.

Authors:  G S Berns; M L Hull; H A Patterson
Journal:  J Orthop Res       Date:  1992-03       Impact factor: 3.494

4.  Video analysis of anterior cruciate ligament injury: abnormalities in hip and ankle kinematics.

Authors:  Barry P Boden; Joseph S Torg; Sarah B Knowles; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2009-02       Impact factor: 6.202

5.  Cost analysis of converting from single-bundle to double-bundle anterior cruciate ligament reconstruction.

Authors:  Robert H Brophy; Rick W Wright; Matthew J Matava
Journal:  Am J Sports Med       Date:  2009-02-09       Impact factor: 6.202

6.  Magnetic resonance imaging signal concepts.

Authors:  G D Fullerton
Journal:  Radiographics       Date:  1987-05       Impact factor: 5.333

7.  The biomechanics of anterior cruciate ligament rehabilitation and reconstruction.

Authors:  S W Arms; M H Pope; R J Johnson; R A Fischer; I Arvidsson; E Eriksson
Journal:  Am J Sports Med       Date:  1984 Jan-Feb       Impact factor: 6.202

8.  Sport-specific injury pattern recorded during anterior cruciate ligament reconstruction.

Authors:  Lars-Petter Granan; Maria C S Inacio; Gregory B Maletis; Tadashi T Funahashi; Lars Engebretsen
Journal:  Am J Sports Med       Date:  2013-09-04       Impact factor: 6.202

9.  Validation of Noncontact Anterior Cruciate Ligament Tears Produced by a Mechanical Impact Simulator Against the Clinical Presentation of Injury.

Authors:  Nathaniel A Bates; Nathan D Schilaty; Christopher V Nagelli; Aaron J Krych; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2018-06-04       Impact factor: 6.202

10.  Mechanisms of anterior cruciate ligament injury.

Authors:  B P Boden; G S Dean; J A Feagin; W E Garrett
Journal:  Orthopedics       Date:  2000-06       Impact factor: 1.390

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  5 in total

1.  The Application of Artificial Intelligence in Football Risk Prediction.

Authors:  Jinyu Qiao
Journal:  Comput Intell Neurosci       Date:  2022-06-13

2.  Anterior cruciate ligament abnormalities are associated with accelerated progression of knee joint degeneration in knees with and without structural knee joint abnormalities: 96-month data from the Osteoarthritis Initiative.

Authors:  A S Gersing; B J Schwaiger; M C Nevitt; G B Joseph; G Feuerriegel; P M Jungmann; J B Guimaraes; L Facchetti; C E McCulloch; M R Makowski; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2021-03-26       Impact factor: 7.507

3.  Healthcare Data-Based Prediction Algorithm for Potential Knee Joint Injury of Football Players.

Authors:  Yue Yu; Zi Ye
Journal:  J Healthc Eng       Date:  2021-11-24       Impact factor: 3.822

Review 4.  Clinical Implications of Bone Bruise Patterns Accompanying Anterior Cruciate Ligament Tears.

Authors:  Patrick Ward; Peter Chang; Logan Radtke; Robert H Brophy
Journal:  Sports Health       Date:  2021-07-07       Impact factor: 4.355

5.  Knee position at the moment of bone bruise could reflect the late phase of non-contact anterior cruciate ligament injury rather than the mechanisms leading to ligament failure.

Authors:  Alberto Grassi; Piero Agostinone; Stefano Di Paolo; Gian Andrea Lucidi; Luca Macchiarola; Marco Bontempi; Gregorio Marchiori; Laura Bragonzoni; Stefano Zaffagnini
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-03-03       Impact factor: 4.342

  5 in total

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