Soft Tissue Balance, Kinematics, and Patient Satisfaction

Matsuda, Shinya

doi:10.1007/978-3-662-54082-4_17

Cited by 1 publication

(2 citation statements)

References 54 publications

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“…Following specimen preparation, each leg underwent a posterior-stabilized TKA (Genesis II, Smith & Nephew, Memphis, TN, USA) based on the company's pre-operative surgical plan and materialized using MRI-based subject-specific cutting blocks (VISIONAIRE, Smith & Nephew, Memphis, TN, USA). Surgeons had the possibility to intra-operatively modify the implant size and component alignment, and to perform the ligament release to achieve soft tissue balance based on their experience and opinion [6,7].…”

Section: Experimental Data Collectionmentioning

confidence: 99%

“…However, TKA still fails in 2-8% of the cases [2,3] and 35% of these failures has been attributed to ligament imbalance, which is associated with excessive stiffness or instability of the knee joint [4]. Nonetheless, current ligament balancing procedures applied during TKA primarily rely on indirect assessments of ligament strains, e.g., bony distances or intraarticular distances, and/or subjective intra-operative opinions of the surgeon [5][6][7]. The two main ligaments targeted by such ligament balancing procedures are the medial collateral ligament (MCL) and lateral collateral ligament (LCL) because they are the primary frontal-plane knee stabilizers post-TKA [8,9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity of Model-Based Predictions of Post-TKA Kinematic Behavior to Residual Errors in Ultrasound-Based Knee Collateral Ligament Strain Assessment

Dandois,

Taylan,

Müller

et al. 2023

Sensors

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Ultrasound-based ligament strain estimation shows promise in non-invasively assessing knee joint collateral ligament behavior and improving ligament balancing procedures. However, the impact of ultrasound-based strain estimation residual errors on in-silico arthroplasty predictions remains unexplored. We investigated the sensitivity of post-arthroplasty kinematic predictions to ultrasound-based strain estimation errors compared to clinical inaccuracies in implant positioning.Two cadaveric legs were submitted to active squatting, and specimen-specific rigid computer models were formulated. Mechanical properties of the ligament model were optimized to reproduce experimentally obtained tibiofemoral kinematics and loads with minimal error. Resulting remaining errors were comparable to the current state-of-the-art. Ultrasound-derived strain residual errors were then introduced by perturbing lateral collateral ligament (LCL) and medial collateral ligament (MCL) stiffness. Afterwards, the implant position was perturbed to match with the current clinical inaccuracies reported in the literature. Finally, the impact on simulated post-arthroplasty tibiofemoral kinematics was compared for both perturbation scenarios. Ultrasound-based errors minimally affected kinematic outcomes (mean differences < 0.73° in rotations, 0.1 mm in translations). Greatest differences occurred in external tibial rotations (−0.61° to 0.73° for MCL, −0.28° to 0.27° for LCL). Comparatively, changes in implant position had larger effects, with mean differences up to 1.95° in external tibial rotation and 0.7 mm in mediolateral translation. In conclusion, our study demonstrated that the ultrasound-based assessment of collateral ligament strains has the potential to enhance current computer-based pre-operative knee arthroplasty planning.

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Section: Experimental Data Collectionmentioning

confidence: 99%