TY - GEN
T1 - Estimates of Cruciate Ligament Forces Resulting from Anterior Tibial Translation During Simulated Flexion Motion of the Human Knee
AU - Imran, Ahmed
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - Cruciate ligaments are main stabilizers of the joint in the sagittal plane. Anterior cruciate ligament is one of the most injured ligaments, particularly during strenuous activities. Integrity of these ligaments is examined clinically by estimating appropriate relative movements of the connected bones. Experiments on cadaver knees provide laxity measurements. However, determination of corresponding ligament forces is either difficult or not possible due to several challenges. In the present study, a mathematical model is used to simulate such laxity tests and estimate cruciate ligament forces when the lower leg at the knee is translated anterior to thigh, thus, stretching the anterior cruciate ligament. The simulation is repeated at several joint positions and with different forces that cause translation. The model calculations showed general agreement with experimental measurements in the literature. For example, the lower leg translated 6, 6.1, and 5.9 mm, respectively, at 30, 45, and 60° flexion with 150 N anterior translating load on the tibia. This is similar to the patterns reported in the literature from in vitro studies. The model helped in gaining further insight in the joint behavior with estimation of corresponding forces developed in the ligament for each simulation. The analysis suggests that 30–60° flexion may be appropriate range for clinical estimation of the ligament integrity as at these joint positions, the laxity is higher, while the ligament forces are not highest in comparison to other flexion angles.
AB - Cruciate ligaments are main stabilizers of the joint in the sagittal plane. Anterior cruciate ligament is one of the most injured ligaments, particularly during strenuous activities. Integrity of these ligaments is examined clinically by estimating appropriate relative movements of the connected bones. Experiments on cadaver knees provide laxity measurements. However, determination of corresponding ligament forces is either difficult or not possible due to several challenges. In the present study, a mathematical model is used to simulate such laxity tests and estimate cruciate ligament forces when the lower leg at the knee is translated anterior to thigh, thus, stretching the anterior cruciate ligament. The simulation is repeated at several joint positions and with different forces that cause translation. The model calculations showed general agreement with experimental measurements in the literature. For example, the lower leg translated 6, 6.1, and 5.9 mm, respectively, at 30, 45, and 60° flexion with 150 N anterior translating load on the tibia. This is similar to the patterns reported in the literature from in vitro studies. The model helped in gaining further insight in the joint behavior with estimation of corresponding forces developed in the ligament for each simulation. The analysis suggests that 30–60° flexion may be appropriate range for clinical estimation of the ligament integrity as at these joint positions, the laxity is higher, while the ligament forces are not highest in comparison to other flexion angles.
KW - Anterior drawer test
KW - Anterior tibial translation (ATT)
KW - Cruciate ligaments
KW - Knee laxity
KW - Modeling and simulation of human knee
UR - https://www.scopus.com/pages/publications/85138771933
U2 - 10.1007/978-981-19-2188-9_80
DO - 10.1007/978-981-19-2188-9_80
M3 - Conference contribution
AN - SCOPUS:85138771933
SN - 9789811921872
T3 - Lecture Notes in Mechanical Engineering
SP - 887
EP - 893
BT - Recent Advances in Mechanical Engineering - Select Proceedings of CAMSE 2021
A2 - Manik, Gaurav
A2 - Kalia, Susheel
A2 - Verma, Om Prakash
A2 - Sharma, Tarun K.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Congress on Advances in Mechanical and Systems Engineering, CAMSE 2021
Y2 - 17 July 2021 through 19 July 2021
ER -