Steeper tibial and meniscal slopes as predictive factors for ramp lesions in anterior cruciate ligament injuries

The relationship between ramp lesion (RL), tibial slope (TS), and meniscal slope (MS) remains inadequately explored. This study aims to investigate whether TS and MS are predictive factors for anterior cruciate ligament (ACL) injuries associated with RL, and to evaluate the performance of TS and MS in predicting RL, including determining optimal cut-off values. A retrospective cohort study was conducted on 253 patients who underwent ACL reconstruction. Magnetic resonance imaging was used to measure TS and MS on tibial plateaus. Logistic regression analyses determined associations between TS, MS, and RL. Receiver operating characteristic (ROC) curves evaluated predictive performance and cut-off values. A total of 65 cases (25.7%) were found to have RL. Significant differences in causes of injury, medial TS (MTS), medial MS (MMS), and bone bruises were observed between groups. In the unadjusted model and adjusted models, they showed significant (P < 0.001) associations for MTS (1.73-1.75) and MMS (OR range = 2.14-2.24). The AUC for MTS was 0.72 (95% CI 0.65-0.79, P < 0.001) with a cut-off value of 6.73°, for MMS was 0.80 (95% CI 0.74-0.86, P < 0.001) with a cut-off value of 4.03°, indicating good predictive performance. Larger MTS and MMS are significant predictive factors for RL in patients with ACL injury. Clinicians should closely monitor ACL injury patients with elevated MTS or MMS. Utilizing MTS or MMS as a predictive parameter shows promise for the identification of RL.

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Publication Details

Journal
Scientific Reports
Published
2025-05-02
DOI
https://doi.org/10.1038/s41598-025-99592-7
Citations
1
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
2.01
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article

Steeper tibial and meniscal slopes as predictive factors for ramp lesions in anterior cruciate ligament injuries

Steven Duhig, Xiaotan Wang, Lizhong Jing, Kun Liu et al.
1 citations
Scientific Reports
Knee injuries and reconstruction techniques
2.01
article

Steeper tibial and meniscal slopes as predictive factors for ramp lesions in anterior cruciate ligament injuries

Steven Duhig, Xiaotan Wang, Lizhong Jing, Kun Liu, Jiushan Yang, Le Yu
article en
1 citations

Abstract

The relationship between ramp lesion (RL), tibial slope (TS), and meniscal slope (MS) remains inadequately explored. This study aims to investigate whether TS and MS are predictive factors for anterior cruciate ligament (ACL) injuries associated with RL, and to evaluate the performance of TS and MS in predicting RL, including determining optimal cut-off values. A retrospective cohort study was conducted on 253 patients who underwent ACL reconstruction. Magnetic resonance imaging was used to measure TS and MS on tibial plateaus. Logistic regression analyses determined associations between TS, MS, and RL. Receiver operating characteristic (ROC) curves evaluated predictive performance and cut-off values. A total of 65 cases (25.7%) were found to have RL. Significant differences in causes of injury, medial TS (MTS), medial MS (MMS), and bone bruises were observed between groups. In the unadjusted model and adjusted models, they showed significant (P < 0.001) associations for MTS (1.73-1.75) and MMS (OR range = 2.14-2.24). The AUC for MTS was 0.72 (95% CI 0.65-0.79, P < 0.001) with a cut-off value of 6.73°, for MMS was 0.80 (95% CI 0.74-0.86, P < 0.001) with a cut-off value of 4.03°, indicating good predictive performance. Larger MTS and MMS are significant predictive factors for RL in patients with ACL injury. Clinicians should closely monitor ACL injury patients with elevated MTS or MMS. Utilizing MTS or MMS as a predictive parameter shows promise for the identification of RL.

Scientific ReportsVol. 15(1)
Griffith University (AU)
Openalex Percentile: Top 16%
Knee injuries and reconstruction techniques
2.01
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Steeper tibial and meniscal slopes as predictive factors for ramp lesions in anterior cruciate ligament injuries — Steven Duhig, Xiaotan Wang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS