The success of cementless orthopaedic implants relies on bony ingrowth and active bone remodelling. Much research effort is invested to develop implants with controllable surface roughness and internal porous architectures that encourage these biological processes. Evaluation of these implants requires long-term and costly animal studies, which do not always yield the desired outcome requiring iteration. The aim of our study is to develop a cost-effective method to prescreen design parameters prior to animal trials to streamline implant development and reduce live animal testing burden. Ex vivo porcine cancellous bone cylinders (n=6, Ø20×12mm) were extracted from porcine knee joints with a computer-numerically-controlled milling machine under sterile conditions within 4 hours of animal sacrifice. The bone discs were implanted with Ø6×12mm additive manufactured porous titanium implants and were then cultured for 21days. Half underwent static culture in medium (DMEM, 10% FBS, 1% antibiotics) at 37°C and 5% CO2. The rest were cultured in novel high-throughput stacked configuration in a bioreactor that simulated physiological conditions after surgery: the fluid flow and cyclic compression force were set at 10ml/min and 10–150 N (1Hz,5000 cycles/day) respectively. Stains were administered at days 7 and 14. Samples were evaluated with widefield microscopy, scanning electron microscopy (SEM) and with histology. More bone remodelling was observed on the samples cultured within the bioreactor: widefield imaging showed more remodelling at the boundaries between the implant-bone interface, while SEM revealed immature bone tissue integration within the pores of the implant. Histological analysis confirmed these results, with many more trabecular struts with new osteoid formation on the samples cultured dynamically compared to static ones. Ex vivo bone can be used to analyse new implant technologies with lower cost and ethical impact than animal trial. Physiological conditions (load and fluid flow) promoted bone ingrowth and remodelling.
Unicompartmental and total knee arthroplasty (UKA and TKA) are successful treatments for osteoarthritis, but monolithic implants disrupt the natural homeostasis of bone which leads to bone loss over time. This can cause problems if the implant needs to be revised. This study aimed to demonstrate that tibial implants made from titanium lattice could replace the tibial condyle surface while minimising disruption of the bone's natural mechanical loading environment. A secondary aim was to determine whether implants perform better if they replicate more closely bone's mechanical modulus, anisotropy and spatial heterogeneity. This study was conducted in a human cadaveric model. In a cadaveric model, UKA and TKA procedures were performed on 8 fresh-frozen knee specimens by a board-certified consultant orthopaedic surgeon, using tibial implants made from conventional monolithic material and titanium lattice structures. Stress at the bone-implant interfaces was measured with pressure film and compared to the native knee.Abstract
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This study aids the control of remodelling and strain response in bone; providing a quantified map of apparent modulus and strength in the proximal tibia in 3 anatomically relevant directions in terms of apparent density and factor groups. 7 fresh-frozen cadaveric specimens were quantified computed tomography (qCT) scanned, segmented and packed with 3 layers of 9mm side length cubic cores aligned to anatomical mechanical axes. Cores were removed with printed custom cutting and their densities found from qCT. Cores (n = 195) were quasi-statically compression tested. Modulus was estimated from a load cycle hysteresis loop, between 40% and 20% of yield stress. Sequential testing order in 3 orthogonal directions was randomised. Group differences were identified via an analysis of variance for the factors density, age, gender, testing order, subchondral depth, condyle and sub-meniscal location. Regression models were fit for significant factor sub-groups, predicting properties from density.Abstract
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