New method to identify athletes at high risk of ACL injury using clinic-based measurements and freeware computer analysis

Background High knee abduction moment (KAM) landing mechanics, measured in the biomechanics laboratory, can successfully identify female athletes at increased risk for anterior cruciate ligament (ACL) injury. Methods The authors validated a simpler, clinic-based ACL injury prediction algorithm to id...

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Bibliographic Details
Published in:British journal of sports medicine 2011-04, Vol.45 (4), p.238-244
Main Authors: Myer, Gregory D, Ford, Kevin R, Hewett, Timothy E
Format: Article
Language:English
Subjects:
Algorithms
Anterior Cruciate Ligament Injuries
Athletes
Athletic Injuries - physiopathology
Athletic Injuries - prevention & control
Biomechanical Phenomena
Body Mass Index
Female
Females
Freeware
Humans
Image Processing, Computer-Assisted
Kinematics
Knee
Knee Injuries - physiopathology
Knee Injuries - prevention & control
Ligaments
Muscle Strength - physiology
Photography
Quadriceps Muscle - physiology
Range of Motion, Articular
Risk Factors
Software
Sports injuries
Sports medicine
Task Performance and Analysis
Tibia - anatomy & histology
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Summary:Background High knee abduction moment (KAM) landing mechanics, measured in the biomechanics laboratory, can successfully identify female athletes at increased risk for anterior cruciate ligament (ACL) injury. Methods The authors validated a simpler, clinic-based ACL injury prediction algorithm to identify female athletes with high KAM measures. The validated ACL injury prediction algorithm employs the clinically obtainable measures of knee valgus motion, knee flexion range of motion, body mass, tibia length and quadriceps-to-hamstrings ratio. It predicts high KAMs in female athletes with high sensitivity (77%) and specificity (71%). Conclusion This report outlines the techniques for this ACL injury prediction algorithm using clinic-based measurements and computer analyses that require only freely available public domain software.
ISSN:0306-3674
1473-0480
1473-0480
DOI:10.1136/bjsm.2010.072843