ArticleJournal of orthopaedic surgery and research2024
Factors influencing the posterior cruciate ligament buckling phenomenon-a multiple linear regression analysis of bony and soft tissue structures of the knee joint.
Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The posterior cruciate ligament-posterior femoral cortex angle (PCL-PCA): A precise indicator of knee decompensation in skeletally immature anterior cruciate ligament-injured patients.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Introducing Increased Lateral Tibial Height and Decreased Medial Meniscal Bone Angle as Independent Risk Factors for Recurrent Patellar Dislocation.Orthopaedic journal of sports medicine · 2026Article
- Risk factors for osteoarthritis in the medial compartment of the stable patellofemoral joint: FTR angle and Wiberg type I patella.BMC musculoskeletal disorders · 2026Article
- The M-shaped posterior cruciate ligament was associated with anterolateral ligament injury after anterior cruciate ligament injuries: a 1:2 age- and sex-matched cohort study.BMC musculoskeletal disorders · 2025Article
- Article
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Authors and funding
6 authors.
Funding
Abstract
purposeTo determine whether posterior cruciate ligament (PCL) buckling (angular change) is associated with anterior cruciate ligament (ACL) status (intact or ruptured), meniscal bone angle (MBA), anterior tibial translation (ATT), body weight, femoral-tibial rotation (FTR), posterior tibial slope (PTS), PCL length and femoral-tibial distance (FTD) and to identify the factors that have the greatest influence.
methodsAll enrolled participants were scanned with a 3.0 T, 8-channel coil MRI system (Magnetom Verio; Siemens). Bone and soft tissue parameters were measured by MIMICS software for each subject and each measured parameter was correlated with PCL buckling phenomena. The correlated and statistically significant parameters were then analyzed by multiple linear regression to determine the magnitude of the effect of the different parameters on the PCL buckling phenomenon.
resultsA total of 116 subjects (50 ACL ruptured and 66 age, weight and height matched volunteers with uninjured knees) were enrolled. Among all measured parameters, there were 8 parameters that correlated with PCL angle (PCLA), of which ACL status had the strongest correlation with PCLA (r = - 0.67, p = < 0.001); and 7 parameters that correlated with PCL-posterior femoral cortex angle (PCL-PCA), of which ATT had the strongest correlation with PCL-PCA (r = 0.69, p = < 0.001). PCLIA was not significantly correlated with any of the measured parameters. Multiple linear regression analyses revealed four parameters can explain PCLA, of which ACL status had the strongest effect on PCLA (absolute value of standardized coefficient Beta was 0.508). Three parameters can explain PCL-PCA, of which ATT had the strongest effect on PCLIA (r = 0.69, p = < 0.001), ATT has the greatest effect on PCL-PCA (absolute value of normalized coefficient Beta is 0.523).
conclusionsPCLA may be a simple and easily reproducible and important supplement for the diagnosis of ACL injury; PCL-PCA is a simple and easily reproducible and important complementary tool for the detection of ATT. The use of PCLA is more recommended to aid in the diagnosis of ACL injury.
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