Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: Multifaceted factors contribute to inferior outcomes following anterior cruciate ligament (ACL) reconstruction surgery. A particular focus is placed on the posterior tibial slope (PTS). This study introduces the integration of machine learning and artificial intelligence (AI) for efficient measurements of tibial slopes on magnetic resonance imaging images as a promising solution. This advancement aims to enhance risk stratification, diagnostic insights, intervention prognosis and surgical planning for ACL injuries.

Methods: Images and demographic information from 120 patients who underwent ACL reconstruction surgery were used for this study. An AI-driven model was developed to measure the posterior lateral tibial slope using the YOLOv8 algorithm. The accuracy of the lateral tibial slope, medial tibial slope and tibial longitudinal axis measurements was assessed, and the results reached high levels of reliability. This study employed machine learning and AI techniques to provide objective, consistent and efficient measurements of tibial slopes on MR images.

Results: Three distinct models were developed to derive AI-based measurements. The study results revealed a substantial correlation between the measurements obtained from the AI models and those obtained by the orthopaedic surgeon across three parameters: lateral tibial slope, medial tibial slope and tibial longitudinal axis. Specifically, the Pearson correlation coefficients were 0.673, 0.850 and 0.839, respectively. The Spearman rank correlation coefficients were 0.736, 0.861 and 0.738, respectively. Additionally, the interclass correlation coefficients were 0.63, 0.84 and 0.84, respectively.

Conclusion: This study establishes that the deep learning-based method for measuring posterior tibial slopes strongly correlates with the evaluations of expert orthopaedic surgeons. The time efficiency and consistency of this technique suggest its utility in clinical practice, promising to enhance workflow, risk assessment and the customization of patient treatment plans.

Level Of Evidence: Level III, cross-sectional diagnostic study.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ksa.12241DOI Listing

Publication Analysis

Top Keywords

tibial slope
20
tibial
12
posterior tibial
12
tibial slopes
12
lateral tibial
12
correlation coefficients
12
time efficiency
8
deep learning-based
8
acl reconstruction
8
reconstruction surgery
8

Similar Publications

Purpose: This study aimed to evaluate the functional and radiological outcomes, complications and procedure survival in patients with posttraumatic tibial plateau deformities treated with unicondylar intra-articular tibial plateau osteotomy (UIATPO), comparing medial and lateral approaches.

Methods: A retrospective study was conducted on all patients with posttraumatic intra-articular tibial plateau deformities who underwent surgical correction at a single centre between 2016 and 2022, with a minimum follow-up of 24 months. Patient characteristics, radiological correction, patient-reported outcome measures (PROMs), including the Lysholm and knee injury and osteoarthritis outcome score (KOOS), and complications were recorded.

View Article and Find Full Text PDF

Purpose: Robot-assisted total knee arthroplasty (RATKA) aims to improve surgical precision and outcomes. This study compared clinical and radiological outcomes between RATKA and conventional total knee arthroplasty (CTKA).

Methods: A systematic review was conducted in accordance with PRISMA guidelines, including prospective studies (Level I/II evidence) from MEDLINE, Embase, Web of Science, and the Cochrane Library, up to 20 May 2025.

View Article and Find Full Text PDF

Image-based robotics enhance precision and efficiency in lateral UKA: A comparative study of 135 UKAs.

Knee Surg Sports Traumatol Arthrosc

September 2025

Orthopaedics Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.

Purpose: Robotic-assisted lateral unicompartmental knee arthroplasty (UKA) remains technically demanding due to the complex biomechanics of the lateral compartment. Image-based (IBRA) and imageless (ILRA) robotic systems have both demonstrated superior accuracy compared to conventional mechanical instrumentation, but have not yet been directly compared in lateral UKA. This study aimed to evaluate their respective accuracy and surgical efficiency.

View Article and Find Full Text PDF

Purpose: The posterior tibial slope (PTS) plays a key role in knee biomechanics and may influence the risk of anterior cruciate ligament (ACL) rupture as well as the outcomes of its reconstruction. We hypothesised that a steeper medial posterior tibial slope (MPTS) would be associated with an increased risk of bilateral ACL reconstruction compared to unilateral reconstruction. This study aimed to test this hypothesis by comparing the MPTS between patients undergoing unilateral ACL reconstruction (uniACLR) and those requiring non-simultaneous bilateral ACL reconstruction (biACLR), using radiographic imaging.

View Article and Find Full Text PDF

The posterior tibial slope, used to define the angulation of the tibial plateau relative to the tibial shaft, is an important radiographic measurement that has gained significant interest recently. Increasing biomechanical and clinical literature has demonstrated the importance of evaluating posterior tibial slope due to its impact on knee kinematics. Although risk of anterior cruciate ligament (ACL) injury and graft rupture is multifactorial, studies have demonstrated that increased posterior tibial slope is likely a contributing factor.

View Article and Find Full Text PDF