There have been differing descriptions of the
anterolateral structures of the knee, and not all have been named
or described clearly. The aim of this study was to provide a clear
anatomical interpretation of these structures. We dissected 40 fresh-frozen
cadaveric knees to view the relevant anatomy and identified a consistent
structure in 33 knees (83%); we termed this the anterolateral ligament
of the knee. This structure passes antero-distally from an attachment
proximal and posterior to the lateral femoral epicondyle to the
margin of the lateral tibial plateau, approximately midway between
Gerdy’s tubercle and the head of the fibula. The ligament is superficial
to the lateral (fibular) collateral ligament proximally, from which
it is distinct, and separate from the capsule of the knee. In the
eight knees in which it was measured, we observed that the ligament
was isometric from 0° to 60° of flexion of the knee, then slackened
when the knee flexed further to 90° and was lengthened by imposing
tibial internal rotation. Cite this article:
Aims. The surgical target for optimal implant positioning in robotic-assisted total knee arthroplasty remains the subject of ongoing discussion. One of the proposed targets is to recreate the knee’s functional behaviour as per its pre-diseased state. The aim of this study was to optimize implant positioning, starting from mechanical alignment (MA), toward restoring the pre-diseased status, including ligament strain and kinematic patterns, in a patient population. Methods. We used an active appearance model-based approach to segment the preoperative CT of 21 osteoarthritic patients, which identified the osteophyte-free surfaces and estimated cartilage from the segmented bones; these geometries were used to construct patient-specific musculoskeletal models of the pre-diseased knee. Subsequently, implantations were simulated using the MA method, and a previously developed optimization technique was employed to find the optimal implant position that minimized the root mean square deviation between pre-diseased and postoperative ligament strains and kinematics. Results. There were evident biomechanical differences between the simulated patient models, but also trends that appeared reproducible at the population level. Optimizing the implant position significantly reduced the maximum observed strain root mean square deviations within the cohort from 36.5% to below 5.3% for all but the
Surgeons commonly resect additional distal femur during primary total knee arthroplasty (TKA) to correct a flexion contracture, which leads to femoral joint line elevation. There is a paucity of data describing the effect of joint line elevation on mid-flexion stability and knee kinematics. Thus, the goal of this study was to quantify the effect of joint line elevation on mid-flexion laxity. Six computational knee models with cadaver-specific capsular and collateral ligament properties were implanted with a posterior-stabilized (PS) TKA. A 10° flexion contracture was created in each model to simulate a capsular contracture. Distal femoral resections of + 2 mm and + 4 mm were then simulated for each knee. The knee models were then extended under a standard moment. Subsequently, varus and valgus moments of 10 Nm were applied as the knee was flexed from 0° to 90° at baseline and repeated after each of the two distal resections. Coronal laxity (the sum of varus and valgus angulation with respective maximum moments) was measured throughout flexion.Aims
Methods