Anatomy student grade prediction method based on multimodal model for reconstruction of human biomechanical endpoints
Abstract
Dissecting and studying the morphology of the tibial insertion point of the anterior cruciate ligament (ACL) of the knee joint, and using finite element analysis software to analyze the distribution of mechanical insertion points of the ACL, providing a new concept for clinical ACL reconstruction. Method: Ten fresh adult knee joint specimens were selected, including six males and four females. The joint cavity was opened using a standard medial patellar approach, exposing and dissecting the ACL. The morphology of the ACL tibial insertion point was observed and recorded, and the anterior posterior and lateral diameters of the tibial insertion point were measured. Using 3D reconstruction software to simulate clinical physical examination Laehman test and pivot shift test, observe the force distribution of ACL at the tibial and femoral end insertion points, and finally construct a multiple stepwise regression model to evaluate students’ classroom learning behavior and performance in this experiment. Result: The dense insertion point of the ACL tibia appears as a flattened and elongated arc shape, with an anterior posterior diameter of (13.8 ± 2.0) mm, a body lateral diameter of (5.3 ± 0.6) mm, and a leading edge lateral diameter of (11.5 ± 1.2) mm. Finite element analysis shows that the area of high stress at the femoral end is an elliptical region near the resident’s ridge, while the area of high stress at the tibial end is elongated along the medial intercondylar ridge, which is consistent with anatomical observations and theoretically confirms the biomechanical distribution characteristics of ACL insertion points. On the other hand, some learning behaviors of students have a positive impact on their academic performance. Conclusion: Anatomical studies and finite element analysis have confirmed that the tibial insertion point of ACL is a flattened and elongated arc. The ideal ACL reconstruction technique should be based on its biomechanical characteristics. Based on biomechanical analysis, the concept of anterior cruciate ligament biomechanical insertion point reconstruction is proposed. Using a multiple stepwise regression model to predict students’ academic performance can improve the effectiveness of teaching activities and provide scientific basis for teaching research and reform.
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