Skip to main content
Bone & Joint Research logoLink to Bone & Joint Research
. 2026 Jun 8;15(6):662–674. doi: 10.1302/2046-3758.156.BJR-2025-0584.R1

Managing large type 2a bone defects from osteoporotic tibial plateau fractures

a finite element analysis

Yi Ren 1, Chloe E H Scott 2,3,4, Shuqiao Xie 5,6, Pankaj Pankaj 1,
PMCID: PMC13343234  PMID: 42257242

Abstract

Aims

This computational study evaluated the biomechanical performance of asymmetric metaphyseal cones in managing large type 2a bone defects from osteoporotic tibial plateau fractures.

Methods

Using a pre-existing finite element model of a synthetic medium-sized tibia, six defect patterns with 50 mm cemented stems were analyzed under walking (WA) and stair descending (SD) loads. Models varied in cone unsupported ratios (Ru = 0%, 16%, 32%) and four bone quality levels (stiffness at 100%, 80%, 60%, and 40% of normal values). Gap healing thresholds (0 to 50 μm) were evaluated to assess bone-implant contact areas. Additional long-stem configurations (100 mm) were analyzed for severe osteoporotic conditions.

Results

At 50 μm gap healing threshold, severe defects (Ru = 32%) achieved maximum geometrically possible contact area of 55%, while no-defect bone (Ru = 0%) reached 100%. Maximum micromotion (89 μm) remained below the critical osseointegration threshold of 150 μm, but interface area experiencing elevated micromotion (50 to 90 μm) increased markedly with deteriorating bone quality. High-strain regions formed at the inferior cone surface and stem base, with up to 16% of cancellous bone exceeding yield thresholds in severe osteoporotic models during SD. Long-stem configurations reduced supraphysiological strain volume by 47% compared to the short stem, but induced strain concentrations at the stem terminus. Medial defects generated higher strains than lateral configurations but exhibited more uniform strain distribution patterns.

Conclusion

Metaphyseal cones provide adequate biomechanical stability for tibial plateau fractures in osteoporotic bone. The findings suggest that gap healing enables maximal bone-implant contact within geometrical constraints, supporting the clinical use of these implants with appropriate patient selection and postoperative management.

Cite this article: Bone Joint Res 2026;15(6):662–674.

Keywords: Osteoporosis, Tibial plateau fracture, Metaphyseal cone, Tibial plateau fractures, bone defects, strains, metaphyseal cones, stiffness, bone-implant, osteoporotic bone, bone quality, osseointegration, cemented stems

Article focus

  • How did asymmetric metaphyseal cones perform biomechanically in osteoporotic tibial plateau fractures under physiological loading?

  • How did bone quality, gap healing threshold, and stability metrics (micromotion, contact area, strain) relate quantitatively?

  • How did different stem lengths (50 mm vs 100 mm) affect performance in severe osteoporotic conditions?

Key messages

  • Metaphyseal cones provided adequate stability for osteoporotic tibial plateau fractures, with biomechanical stability metrics (micromotion and strain) decreasing predictably as bone quality deteriorated but remaining below critical failure thresholds.

  • Gap healing enhanced bone-implant contact, enabling severe defects to achieve 55% contact area, representing a 2.9-fold improvement over initial conditions.

  • Long-stem configurations reduced supraphysiological strain by 47% in severe osteoporosis but created strain concentrations requiring careful patient selection.

Strengths and limitations

  • This was a systematic analysis of 54 models with variation of bone quality, defect patterns, and loading conditions, which took a conservative approach using established thresholds and worst-case scenarios.

  • Linear elastic material properties and static analysis cannot capture time-dependent bone behaviours or the cyclic loading experienced during daily activities.

  • Computational predictions provide evidence-based surgical guidance, but require clinical validation through long-term outcome studies.

Introduction

Tibial plateau fractures (TPFs) constitute approximately 8% of fractures in individuals aged over 60 years, with prevalence projected to increase as global life expectancy rises.1 These fractures present management challenges in elderly patients, particularly those with osteoporosis, due to compromised bone quality and elevated complication rates.2,3 Conventional fixation methods in osteoporotic bone are associated with higher risks of fixation failure, reduction loss, and post-traumatic osteoarthritis, especially when joint depression exceeds 15 mm.2,4,5

Acute total knee arthroplasty (TKA) has emerged as a viable alternative for managing severe TPFs in elderly patients.6-8 However, the proximal tibial bone loss inherent in these fractures creates substantial challenges for achieving implant stability. Metaphyseal cones offer a promising solution by replacing damaged bone tissue and reconstructing the metaphysis, thereby establishing a stable platform for the tibial component.9,10 Clinical investigations have demonstrated favourable outcomes with porous titanium cones in the treatment of severe bone defects in revision knee arthroplasty.11-13

Although the biomechanical performance of symmetric cones has been investigated under standard conditions to treat defects up to 10 mm in depth,14-17 the evidence regarding the efficacy of asymmetric cones in osteoporotic bone, which is characterized by diminished bone quality and altered mechanical properties, has been limited in the literature. Furthermore, current literature lacks systematic finite element (FE) models that accurately represent the sequential relationship between initial bone-cone contact, gap healing, and subsequent osseointegration.

Gap healing represents a critical process where bone cells bridge the space between implant and host bone, facilitating subsequent osseointegration and long-term implant stability.18,19 This cellular bridging can proceed despite imperfect initial contact, provided the interfacial gap remains within biologically acceptable dimensions and interface micromotion stays below the critical threshold of 150 μm.20 When micromotion exceeds this threshold, fibrous tissue formation predominates instead of osseointegration, regardless of whether initial gap healing occurs successfully. Osteoporosis compromises both gap healing and osseointegration through reduced osteoblast activity, impaired bone remodelling capabilities, and diminished structural integrity of the surrounding bone architecture.2,21-23

This FE study aimed to evaluate the biomechanical performance of asymmetric metaphyseal cones in simulated osteoporotic bone models with medial and lateral TPF defects. By systematically varying bone stiffness parameters to represent different degrees of osteoporosis and modifying contact parameters to reflect bone healing threshold, this investigation provides quantitative estimates of implant stability under physiological loading conditions. The analysis focuses on three primary outcome measures: 1) bone-implant contact area as a function of gap healing threshold; 2) interface micromotion as a predictor of osseointegration success; and 3) bone strain distributions as indicators of load-bearing regions. By establishing biomechanical thresholds for safe clinical application, this research seeks to optimize metaphyseal cone use in osteoporotic patients with TPFs requiring acute TKA.

Methods

Finite element model construction and validation

A pre-existing 3D FE model of a synthetic medium-sized tibia was employed for this study.24-27 The model was sectioned 9 mm below the lowest point of the lateral tibial plateau along the mechanical axis to simulate the TKA resection plane. A 200 mm tibial segment was selected and isolated for analysis. The tibial baseplate was aligned parallel to the reference line extending from the posterior cruciate ligament (PCL) midpoint to the medial third of the tibial tubercle, achieving 89% baseplate coverage with a maximum peripheral overhang of 1 mm.

The implant system comprised a universal size-five baseplate (5521-B-500; Stryker, USA), an asymmetric size C cone (5549-A-232 for lateral defects and 5549-A-231 for medial defects; Stryker Orthopaedics), and a short cemented stem (10 mm × 50 mm; Stryker Orthopaedics). Bone cement with thickness ranging from 1 to 5 mm filled the interstitial spaces (with the maximum thickness at the stem tip to manage distal strain concentrations), preventing direct bone contact with the baseplate and stem, ensuring that direct osseointegration occurs exclusively at the cone-bone interface.28

The FE mesh consisted of second-order tetrahedral elements (10-node) with an element size ranging from 1 to 3 mm and localized refinement at bone-cone interfaces. Mesh convergence analysis confirmed numerical stability, with displacement variations less than 1% at element counts exceeding 418,734 and 411,501 for the lateral and medial no-defect models, respectively.

Tibial plateau fracture simulation

As fractured areas cannot provide mechanical support, TPFs were modelled as uncontained Anderson Orthopaedic Research Institute (AORI) type 2a defects, corresponding to Schatzker type II and type IV fractures.8,29 Defect severity was quantified by the unsupported external surface area ratio of the cone (Ru). Six distinct fracture patterns were created with Ru values of 0% (no defect), 16% (partial cone lobe support loss), and 32% (complete cone lobe support loss) for both lateral and medial configurations (Figure 1).

Fig. 1.

Three panels show a tibial implant model, superior and side views of lateral and medial defects at increasing unsupported area, and bar charts of resulting defect volumes comparing cancellous and cortical regions. The figure consists of three panels labelled (a), (b), and (c). Panel (a) shows a sectional view of a tibial implant within bone, including a baseplate, cone, stem, and surrounding bone regions, along with a coordinate axis indicating superior, lateral, and anterior directions. Panel (b) presents a series of superior and side views for different configurations labelled L00, L16, L32, M00, M16, and M32, illustrating lateral and medial bone defects with increasing unsupported surface area of the cone. The images show how the implant and surrounding bone change geometry as defect size increases from zero to larger values. Panel (c) displays two grouped bar charts comparing lateral and medial cases, plotting defect volume as a percentage for cancellous and cortical bone across the same configurations. The charts indicate that defect volume increases with greater unsupported surface area, with larger values observed in the highest defect conditions for both lateral and medial cases.

Tibial implant configuration and defect modelling. a) 3D bone model with tibial baseplate, asymmetric cone, and cemented stem. b) Lateral (L) and medial (M) defect patterns showing unsupported cone area ratios (Ru) of 0%, 16%, and 32%. c) Comparison between lateral and medial defect volumes in cancellous and cortical bone.

Fracture plane geometries were implemented according to defect location. Lateral models used a sagittal cutting plane. In medial models, the baseline fracture configuration (Ru = 16%) originated at the PCL midpoint and extended at 46° anterolaterally relative to the posterior tibial condylar axis in the axial plane. The fracture line intersected the cortex 40 mm distal to the TKA resection plane. For severe medial defects (Ru = 32%), the fracture plane was rotated laterally by 15° while maintaining both the PCL midpoint and cortical intersection points as fixed references.

Material properties and osteoporotic bone modelling

All materials were characterized as homogeneous, isotropic, and linear elastic (Table I).26,30-32 The porous surface of the cone was represented as a homogeneous solid layer with reduced effective elastic modulus.25 To simulate varying degrees of bone quality deterioration, four distinct stiffness configurations were implemented by systematically reducing the Young’s modulus of bone (Table II).25 The baseline configuration (E100) maintained standard values (cortical: 15,250 MPa; cancellous: 449 MPa), while subsequent configurations reduced cortical and cancellous bone stiffness to 80% and 76% (E80), 60% and 52% (E60), and 40% and 28% (E40) of the baseline values, respectively.21

Table I.

Linear elastic material properties of implant components used in the finite element model.30-32

Tibial component Young’s modulus (MPa) Poisson’s ratio
Baseplate (cobalt-chromium alloy) 210,000 0.3
Cone (titanium Ti-6Al-4V) 117,000 0.3
Cone coating 6,200 0.3
Stem (titanium Ti-6Al-4V) 117,000 0.3
Bone cement 2,280 0.3

Table II.

Linear elastic material properties of osteoporotic bone (where E100 and E40 represent the healthy bone and the most severe osteoporosis, respectively).21,25

Bone quality level Cortical Young’s modulus (MPa) Cancellous Young’s modulus (MPa) Poisson’s ratio
E100 15,250 449 0.3
E80 12,200 341 0.3
E60 9,150 233 0.3
E40 6,100 126 0.3

E, Young's modulus.

Physiological loading and boundary conditions

Two physiological loading scenarios were considered (Table III): walking (WA) and stair descending (SD). Each loading scenario incorporated composite forces and moments along the lateral (X), superior (Y), and anterior (Z) directions derived from standardized gait analysis data for a 75 kg individual.33 The distal end of the tibia model was fully constrained in all degrees of freedom. Applied loads were transmitted through a single reference point kinematically coupled with all nodes on the superior baseplate surface.

Table III.

Physiological forces and moments applied in walking and stair descending loading simulations.33

Loading scenario Fx
(N)
Fy
(N)
Fz
(N)
Mx
(Nmm)
My
(Nmm)
Mz
(Nmm)
WA -13 -1,957 -45 -11,998 6,302 17,571
SD 39 -2,335 -140 -20,424 1,135 18,658

F, force; M, moment; SD, stair descending; WA, walking; X, lateral; Y, superior; Z, anterior.

Bone-implant interface mechanics

The bone-cone interface was modelled using Coulomb friction (μ = 0.35 for the bone-cone body interfaces and μ = 1.01 for bone-coating interfaces).34-36 The interfaces between cement-implant and cement-bone were defined as bonded contacts (tie constraints). To simulate varying bone healing thresholds, four gap healing thresholds (0 μm, 0.5 μm, 5 μm, and 50 μm), representing increasingly permissive contact criteria, were implemented to evaluate bone-implant contact areas. This parametric approach quantified potential bone ingrowth capability across interfacial gaps of different magnitudes.18,37 The percentage of available contact area was calculated for each configuration to characterize interfacial stability. All analyses were performed in Abaqus 2021 (Dassault Systèmes Simulia, USA).

Biomechanical stability assessment

In this study, micromotion was evaluated based on the most conservative contact threshold (gap healing potential = 0 μm) to assess implant stability under the worst-case conditions, using an established osseointegration threshold of 150 μm.38 Micromotions at the bone-coating interface were categorized into tangential and normal components. Tangential micromotion refers to movements parallel to the interface, representing shear or sliding displacement.39 Normal micromotion denotes displacement perpendicular to the interface, including separation or compression.39 The distribution of micromotion was quantified by calculating the percentage of interface area within specific magnitude ranges. Bone mechanical response was assessed through maximum (tension) and minimum (compression) principal strain distributions, with yield thresholds of 0.5% for tension and -0.7% for compression applied to cancellous bone.40,41 The volumetric proportion of bone exceeding these thresholds was calculated for each configuration.

This systematic analysis encompassed 48 distinct models: two defect locations (lateral and medial) × three unsupported ratios (Ru = 0%, 16% and 32%) × four bone stiffness values (E100, E80, E60, E40) × 2 loading conditions (WA and SD). Additionally, six models with long cemented stems (10 mm × 100 mm) were analyzed for the most severe osteoporotic bone condition (E40) under the most critical loading scenario (SD), bringing the total to 54 models. This matrix provides a systematic assessment of asymmetric metaphyseal cone performance in osteoporotic tibial plateau fractures under physiological conditions with different stem lengths.

Results

Bone-implant contact area

The bone-implant contact area was calculated as the percentage of the cone coating surface within specified gap healing thresholds (0 μm, 0.5 μm, 5 μm, and 50 μm), representing different bone ingrowth capabilities across interfacial gaps. Four configurations were analyzed: lateral defects during WA (L-WA), lateral defects during SD (L-SD), medial defects during WA (M-WA), and medial defects during SD (M-SD). Figure 2 demonstrates that the average potential contact area varies across these configurations with different gap healing thresholds. The results show an inverse relationship with the cone unsupported ratio (Ru) and a positive correlation with bone healing capacity. At the initial implant condition with no gap healing, the contact area was approximately 45% for no-defect bone (Ru = 0%) and 19% for the maximum defect (Ru = 32%) (Figure 2a). For a given Ru, contact area increased as bone stiffness decreased. When the gap healing threshold was raised to 0.5 μm, the contact area stabilized across all configurations (Figure 2b). However, at 5 μm threshold, the trend reversed, with reduced bone stiffness markedly diminishing the contact area (Figure 2c). At a healing threshold of 50 μm, the contact area became largely insensitive to stiffness variations, with no-defect bone and maximum defect reaching peak contact areas of 100% and 55%, respectively (Figure 2d).

Fig. 2.

Four bar chart panels showing bone-cone coating contact area at gap healing thresholds 0, 0.5, 5 and 50 μm, across three cone unsupported ratios (0%, 16%, 32%) and four bone stiffness levels (E100 to E40), with error bars. The figure consists of four panels (a) to (d), each presenting bar charts of average potential bone-implant contact area expressed as a percentage of the cone coating surface. Each panel is divided into three groups corresponding to cone unsupported ratios Ru = 0%, 16%, and 32% (separated by dashed vertical lines), and within each group four bars represent the bone stiffness levels E100, E80, E60, and E40. Error bars are shown on every bar. Panel (a) shows results at a gap healing threshold of 0 μm. Contact area is approximately 45% at Ru = 0% and decreases to about 19% at Ru = 32%. Within each Ru group, contact area increases slightly as bone stiffness decreases from E100 to E40. Panel (b) shows results at a gap healing threshold of 0.5 μm. Contact area is higher than in panel (a), reaching about 55% at Ru = 0%, 35% at Ru = 16%, and 22% at Ru = 32%, and remains stable across stiffness levels within each Ru group. Panel (c) shows results at a gap healing threshold of 5 μm. Contact area reaches about 97% at Ru = 0% with E100, but the stiffness-contact relationship reverses. Lower stiffness now reduces contact, with the E40 bars markedly shorter than E100 in all three Ru groups. Panel (d) shows results at a gap healing threshold of 50 μm. Contact area approaches the geometric ceiling, reaching nearly 100% at Ru = 0%, about 75% at Ru = 16%, and about 55% at Ru = 32%, with little variation across stiffness levels.

Average potential contact area between bone and cone coating across four loading-defect configurations after gap healing. The configurations include lateral defects during walking (L-WA), medial defects during walking (M-WA), lateral defects during stair descending (L-SD), and medial defects during stair descending (M-SD), with varying bone stiffness (E100 to E40) and cone unsupported ratio (Ru). Results are shown under different gap healing thresholds: a) 0 μm, showing increased contact with reduced stiffness; b) 0.5 μm, with stabilised contact across configurations; c) 5 μm, where contact decreases with lower stiffness; d) 50 μm, approaching maximum contact. E, Young’s modulus

Interface micromotion

Micromotion magnitudes increased with both higher Ru and lower bone stiffness. Tangential (Figure 3) and normal (Figure 4) micromotion displayed opposite spatial patterns across all scenarios. Tangential micromotion mainly occurred in the posterior region and at the lobe base, whereas normal micromotion was concentrated anteriorly. In lateral defect models with Ru = 32%, separation at the posterior superior region produced a peak tangential micromotion of 89 μm in the posterior inferior area during L-SD. Figure 5 and Supplementary Figure a illustrate that elevated micromotion (50 to 90 μm) was especially sensitive to stiffness variations. Higher magnitudes were observed in tangential compared to normal micromotion, SD compared to WA, and medial compared to lateral defects. However, in Ru = 32% configurations, peak lateral tangential micromotion exceeded that of medial defect configurations.

Fig. 3.

Superior-view contour maps of tangential micromotion at the bone-coating interface for four scenarios L-WA, M-WA, L-SD, M-SD, with 0 to 90 μm scale, showing posterior concentration that intensifies at higher Ru and lower bone stiffness. The figure is organised as a 2 by 2 layout of four scenarios labelled L-WA (top left), M-WA (top right), L-SD (bottom left), and M-SD (bottom right). Within each scenario, twelve superior-view contour plots of tangential micromotion at the bone-coating interface are arranged in a 3 by 4 grid: rows correspond to cone unsupported ratios Ru = 0%, 16% and 32% (labelled L00, L16, L32 for lateral or M00, M16, M32 for medial), and columns correspond to bone stiffness levels E100, E80, E60, and E40. A shared colour bar on the right ranges from 0 μm (dark blue) to 90 μm (grey), passing through cyan, green, yellow, red and dark red. Across all four scenarios, the dominant blue regions indicate low tangential micromotion overall, with high-magnitude regions (green, yellow, red) concentrated in the posterior part of the cone. The high-magnitude regions enlarge and intensify as Ru increases from 0% to 32% and as bone stiffness decreases from E100 to E40. Stair descending scenarios (L-SD, M-SD) show more extensive and higher-intensity regions than the corresponding walking scenarios (L-WA, M-WA). The L-SD case at Ru = 32% with E40 shows the most prominent red and dark red region in the posterior area, reflecting peak tangential micromotion approaching 90 μm.

Superior view of tangential micromotion contours (0 to 90 μm) at the bone-coating interface for the four scenarios (L-WA, M-WA, L-SD, M-SD), highlighting posterior concentration. E, Young’s modulus; L, lateral; L-SD, lateral defects during stair descending; L-WA, lateral defects during walking; M, medial; M-SD, medial defects during stair descending; M-WA, medial defects during walking.

Fig. 4.

Superior-view contour maps of normal micromotion at the bone-coating interface for four scenarios L-WA, M-WA, L-SD, M-SD, with 0 to 90 μm scale, showing anterior concentration that intensifies at higher Ru and lower bone stiffness. The figure follows the same 2 by 2 scenario layout as Figure 3, with each scenario (L-WA top left, M-WA top right, L-SD bottom left, M-SD bottom right) containing a 3 by 4 grid of superior-view contour plots. Rows correspond to cone unsupported ratios Ru = 0%, 16% and 32%, and columns to bone stiffness levels E100, E80, E60, and E40. The shared colour bar on the right ranges from 0 μm (dark blue) to 90 μm (grey). In contrast to Figure 3, the high-magnitude regions of normal micromotion are concentrated anteriorly rather than posteriorly. Overall magnitudes are lower than the tangential case, with most plots dominated by dark blue. The highest intensities appear in the M-SD scenario at Ru = 32% with E40, where a localised orange to red region is visible in the anterior part of the cone. As Ru increases and bone stiffness decreases, the affected anterior region grows in size and intensity. Stair descending scenarios produce larger and more intense regions than the corresponding walking scenarios.

Superior view of normal micromotion contours at the bone-coating interface for four scenarios: L-WA, M-WA, L-SD and M-SD, showing anterior concentration. E, Young’s modulus; L, lateral; L-SD, lateral defects during stair descending; L-WA, lateral defects during walking; M, medial; M-SD, medial defects during stair descending; M-WA, medial defects during walking.

Fig. 5.

Four stacked bar chart panels showing percentage area of bone-coating interface within tangential micromotion bands 20 to 30, 30 to 40, 40 to 50, 50 to 70 and 70 to 90 μm across L-WA, M-WA, L-SD and M-SD scenarios, for 12 Ru-stiffness configurations. The figure consists of four panels arranged in a 2 by 2 layout: L-WA (top left), M-WA (top right), L-SD (bottom left), and M-SD (bottom right). Each panel plots the percentage of the bone-coating interface area falling within elevated tangential micromotion bands, stacked as coloured segments: light blue (20 to 30 μm), light green (30 to 40 μm), pale yellow (40 to 50 μm), and orange (50 to 70 μm), with dark red (70 to 90 μm) appearing where values approach the upper limit. The X-axis lists 12 configurations per panel, grouped by Ru = 0%, 16% and 32% (labelled L00, L16, L32 for lateral or M00, M16, M32 for medial), and within each group four bars correspond to E100, E80, E60, and E40. The Y-axis is the area percentage, ranging from 0 to 30%. In all four panels, the bars are negligible at Ru = 0% and E100, and grow progressively with higher Ru and lower stiffness. The L-WA panel shows the smallest values (peak about 9% at L32E40). M-WA reaches about 21% at M32E40, dominated by the light blue band with appreciable green, yellow and orange contributions. L-SD reaches about 13% at L32E40, notable for a dark red segment indicating the only configuration where tangential micromotion approached 90 μm. M-SD shows the largest values, peaking at about 27% at M32E40 with substantial green, yellow and orange contributions.

Area percentage distributions of tangential micromotion (20 to 90 μm) across L-WA, M-WA, L-SD and M-SD, illustrating higher magnitudes during stair descending conditions and in most medial defect configurations. E, Young’s modulus; L, lateral; L-SD, lateral defects during stair descending; L-WA, lateral defects during walking; M, medial; M-SD, medial defects during stair descending; M-WA, medial defects during walking.

Principal strain

Figure 6 and Figure 7 illustrate maximum principal strain contour plots for lateral and medial defects under SD loads, with corresponding minimum principal strain contours provided in Supplementary Figures b and c. High-strain regions were consistently located at the inferior cone surface and the stem (cement) base, particularly near geometrical discontinuities. Following complete lobe support loss (Ru = 32%), strains intensified at the stem base region. The posterior bone-cone interface contact area exhibited elevated compressive strains. M-SD configurations generated higher strains compared to L-SD configurations. However, the increased bone-implant contact area characteristic of medial defects facilitated more homogeneous strain distribution.

Fig. 6.

Maximum principal strain contours (superior and coronal views) for lateral defects in stair descending at Ru = 0%, 16%, 32% and stiffness E100 to E40. Strain peaks at cone inferior surface and stem base. The figure shows maximum principal strain contour plots for lateral defect configurations under stair descending loading. It is arranged in two view blocks: superior view (top three rows, labelled L00, L16, L32) and coronal view (bottom three rows, labelled L00, L16, L32) corresponding to cone unsupported ratios Ru = 0%, 16% and 32%. Each row contains four contour plots from left to right representing bone stiffness levels E100, E80, E60, and E40. The colour bar on the right spans 0.00% (grey) to 0.46% (red), with intermediate values shown in blue, cyan, green, yellow and orange; the upper grey region indicates values exceeding the threshold. In superior view, strain concentrations appear around the stem axis and at the cone inferior interface, with the affected region enlarging as Ru increases and stiffness decreases. In coronal view, the dominant high-strain region is at the stem (cement) base, appearing as an oval red-orange zone that grows from a small core at L00E100 to a large region exceeding the threshold (shown as a black core) at L32E40. A secondary high-strain band appears at the cone inferior surface and at the proximal cortical rim. Overall, both Ru and reduced stiffness increase the volume of bone exceeding the yield strain threshold.

Superior and coronal views of maximum principal strain contours for lateral defects during stair descending, showing strain concentration at the cone inferior surface and stem base with varying stiffness (E100 to E40). E, Young’s modulus; L, lateral.

Fig. 7.

Maximum principal strain contours (superior and coronal views) for medial defects in stair descending at Ru = 0%, 16%, 32% and stiffness E100 to E40. Distribution is more uniform than the lateral case. The figure shows maximum principal strain contour plots for medial defect configurations under stair descending loading. It is arranged in two view blocks: superior view (top three rows, labelled M00, M16, M32) and coronal view (bottom three rows, labelled M00, M16, M32) corresponding to cone unsupported ratios Ru = 0%, 16% and 32%. Each row contains four contour plots from left to right representing bone stiffness levels E100, E80, E60, and E40. The colour bar on the right spans 0.00% (grey) to 0.50% (red), with black indicating values above threshold. In superior view, strain concentrations appear around the stem axis and at the medial fracture interface, distributed more uniformly than in the lateral defect case (Figure 6). The affected region enlarges with higher Ru and lower stiffness. In coronal view, the highest strain core appears at the stem (cement) base, evolving from a small green-yellow region at M00E100 to a large red zone with black centre at M32E40. Compared with Figure 6, the high-strain regions in medial defects are larger but less peaked, reflecting more homogeneous strain distribution due to the increased bone-cone contact area on the medial side.

Superior and coronal views of maximum principal strain contours for medial defects during stair descending, with more uniform distribution due to increased contact area. E, Young’s modulus; M, medial.

Bone stiffness was the primary factor affecting the volume of bone exceeding yield strain thresholds (Figure 8). In M-SD configurations, the severely osteoporotic model (M32E40) had approximately five times the yielding volume of the moderately compromised model (M32E60), reaching 16%. Overall, the volume of yielding bone followed an ascending order: L-WA < M-WA < L-SD < M-SD. The yielding pattern demonstrated a clear dependence on both defect location and loading condition, with strain concentrations most prominent during SD activities in medial defects with severe osteoporosis.

Fig. 8.

Four bar chart panels showing percentage cancellous bone volume exceeding yield strain thresholds (0.5% tension, -0.7% compression) for L-WA, M-WA, L-SD and M-SD, at Ru = 0%, 16%, 32% and stiffness E100 to E40. The figure consists of four panels arranged in a 2 by 2 layout: (a) L-WA top left, (b) M-WA top right, (c) L-SD bottom left, and (d) M-SD bottom right. Each panel plots the percentage of cancellous bone volume exceeding the yield strain thresholds (0.5% tension and -0.7% compression). Within each panel, three groups separated by dashed vertical lines correspond to cone unsupported ratios Ru = 0%, 16% and 32%, and within each group four bars represent bone stiffness levels E100, E80, E60, and E40. The Y-axis ranges from 0 to 21%. Orange brackets with numeric labels indicate the increment from E60 to E40 within each Ru group. Across all four panels, bone yielding volume is negligible at higher stiffness levels and rises sharply at E40, showing an exponential dependence on stiffness. Panel (a) L-WA peaks at about 6.3% at L32E40, with E60-to-E40 increments of +1.9, +2.1 and +5.7 across the three Ru groups. Panel (b) M-WA peaks at about 9.6% at M32E40, with increments of +2.0, +4.4 and +8.3. Panel (c) L-SD peaks at about 13.8% at L32E40, with increments of +4.2, +5.5 and +12. Panel (d) M-SD peaks at about 16% at M32E40, with increments of +4.3, +9.4 and +13. The overall ascending order across scenarios is L-WA, M-WA, L-SD, M-SD, with M-SD producing the largest yielding volumes.

Percentage of cancellous bone volume exceeding yield strain thresholds (0.5% tension, -0.7% compression) for: a) L-WA; b) M-WA; c) L-SD; d) M-SD, with exponential increases in severe osteoporosis (E40). E, Young’s modulus; L, lateral; M, medial.

Biomechanical performance of the long stem

Comparative analysis of the long-stem configurations in the most severe osteoporotic bone (E₄₀) during SD demonstrated marked improvements in biomechanical stability compared to the short-stem configurations. Long-stem configurations reduced both tangential and normal micromotion compared to short-stem models across all fracture configurations (Figure 9). The area percentage experiencing elevated micromotion (50 to 90 μm range) was diminished in all defect patterns, indicating enhanced interfacial stability.

Fig. 9.

Long-stem analysis at E40 during SD: (a) Superior-view tangential and normal micromotion contours for Ru = 0%, 16%, 32% in lateral and medial cases; (b) Stacked bar charts of area percentages across 20 to 90 μm bands. The figure summarises the long-stem configuration results under the most severe osteoporotic condition (E40) during stair descending. It consists of two panels. Panel (a) shows superior-view micromotion contours at the bone-coating interface, divided into a tangential block (upper) and a normal block (lower); each block contains six plots arranged as two rows (lateral row labelled L00, L16, L32; medial row labelled M00, M16, M32). A shared colour bar in the centre spans 0 μm (dark blue) to 90 μm (grey), with intermediate values in cyan, green, yellow, red and dark red. Most plots are dominated by dark blue, indicating low micromotion overall. Visible high-magnitude regions are concentrated posteriorly for tangential micromotion (most pronounced at L32 and M32) and anteriorly for normal micromotion (most pronounced at M16 and M32). Panel (b) presents two stacked bar charts, tangential (top) and normal (bottom), showing the percentage area of the bone-coating interface within elevated micromotion bands: light blue (20 to 30 μm), light green (30 to 40 μm), pale yellow (40 to 50 μm), orange (50 to 70 μm), and dark red (70 to 90 μm). The X-axis lists six configurations: L00, L16, L32, M00, M16, M32; the Y-axis is the area percentage from 0 to 30%. In the tangential chart, bars reach about 5.5% at L00, 8.5% at L16, 9% at L32 (with notable orange contribution), and rise to about 16% at M32, with green and orange segments visible. In the normal chart, bars are negligible at L00 and M00, modest at L16, L32 and M16 (about 5%), and peak at about 22% at M16 and 16% at M32, dominated by light blue and green segments. Compared with the short-stem results, the long stem markedly reduces both peak magnitudes and the area extent of elevated micromotion across all configurations.

Micromotion analysis for long-stem lateral and medial fracture models with the most severe osteoporosis (E40) during stair descending: a) Superior view of tangential and normal micromotion contours at the bone-coating interface. b) Area percentage distributions of tangential and normal micromotions (20 to 90 μm). L, lateral; M, medial.

Principal strain analysis demonstrated that long-stem configurations effectively redistributed mechanical loads away from the metaphyseal region, resulting in reductions in bone volume exceeding yield thresholds (Figure 10). In the most severe medial defect configuration (M₃₂E₄₀) during SD, long-stem configurations reduced the percentage of cancellous bone experiencing supraphysiological strain from 16% to 8.5%, representing a 47% improvement. However, localized strain concentrations were observed at the stem terminus in long-stem configurations.

Fig. 10.

Long-stem analysis at E40 during SD: (a) superior and coronal views of maximum and minimum principal strain contours for Ru = 0%, 16%, 32% in lateral and medial cases; (b) bar chart of bone volume exceeding yield thresholds. The figure summarises strain results for the long-stem configuration under the most severe osteoporotic condition (E40) during stair descending. It consists of two panels. Panel (a) shows principal strain contour plots, divided into a maximum principal strain block (upper) and a minimum principal strain block (lower). Each block contains twelve plots arranged as two rows of six: the top row presents superior views and the bottom row presents coronal views, with columns labelled L00, L16, L32 (lateral defects) and M00, M16, M32 (medial defects). The maximum principal strain colour bar spans 0.00% (grey) to 0.50% (red) with black indicating values exceeding the threshold; the minimum principal strain colour bar spans 0.00% (grey) to -0.70% (blue) with black indicating values below the threshold. In the maximum principal strain block, high-strain regions appear at the cone inferior surface and along the stem, with the most extensive black core forming at the stem terminus in lower coronal views, indicating localised strain concentration at the long-stem tip. In the minimum principal strain block, compressive strain concentrations surround the stem and extend along its length, with the deepest blue and black cores again appearing at the stem terminus. Panel (b) is a horizontal bar chart of the percentage of cancellous bone volume exceeding the yield strain thresholds (0.5% tension, -0.7% compression), split into a lateral group (top, L00, L16, L32) and a medial group (bottom, M00, M16, M32). The X-axis ranges from 0 to 10%. Lateral bars reach about 4% at L00, 4.5% at L16 and 7% at L32. Medial bars reach about 4% at M00, 6% at M16 and 8.5% at M32, the highest value across all six configurations. Compared with the short-stem results, the M32 yielding volume is markedly reduced (from 16% to 8.5%) when using the long stem.

Strain analysis for long-stem lateral and medial fracture models with the most severe osteoporosis (E40) during stair descending: a) Superior and coronal views of maximum and minimum principal strain contours. b) Percentage of cancellous bone volume exceeding the yield strain thresholds. L, lateral; M, medial.

Discussion

This FE analysis quantitatively estimated the biomechanical performance of asymmetric metaphyseal cones implanted with 50 mm cemented stems in managing large uncontained defects in osteoporotic bone with TPFs during acute TKA. Through assessment using varying bone stiffness parameters and gap healing thresholds, the investigation elucidated complex relationships among diminished bone quality, interface contact mechanics, and osseointegration potential.

At the 0 to 0.5 μm gap healing thresholds, an inverse relationship was observed between bone stiffness and potential implant contact area: a biomechanical phenomenon attributable to the enhanced deformability of low-density cancellous bone, which more effectively conformed to implant geometry under compressive loading. Nevertheless, this increased contact area did not necessarily translate to improved mechanical stability, as reduced bone stiffness simultaneously generated elevated micromotion and strain distributions. When the gap healing threshold was elevated to 5 μm and beyond, contact area demonstrated a strong positive correlation with bone stiffness. At the 50 μm threshold, representing maximum biological compensatory mechanisms, all configurations approached their maximum theoretical contact area based on geometrical constraints irrespective of bone stiffness values. With the contribution of bone gap healing, the no-defect (Ru = 0%) and the largest defect (Ru = 32%) models could achieve the maximum potential contact area of 100% and 55%, respectively, which was 2.2 and 2.9 times greater than the bone-implant contact area at the initial implantation stage. This threshold-dependent reversal underscored the critical importance of considering both initial mechanical conditions and biological healing capacity when formulating surgical interventions. Bone stiffness reduction created a complex contact pattern: more areas with perfect contact, but also more regions with larger gaps. This phenomenon may explain why osteoporotic patients may show adequate initial implant seating but higher long-term failure rates.2,23

Interface micromotion analysis demonstrated distinct biomechanical patterns that varied systematically with defect configuration and bone quality. The mechanical differential between posterior (primarily tangential micromotion) and anterior regions (primarily normal micromotion) intensified proportionally with decreasing bone stiffness, particularly when the supporting lobe was completely compromised. Notably, while medial defects generally produced higher tangential and normal micromotions than lateral defects, this pattern changed in severely osteoporotic bone (E40) with maximum unsupported ratio (Ru = 32%). The separation at the posterior superior surface in lateral defects reduced bone-implant contact area and consequently concentrated tangential micromotion at the posterior inferior surface.

Although maximum recorded micromotion (89 μm) remained below the established critical threshold for osseointegration (150 μm),38 the area proportion of interface experiencing elevated micromotion (50 to 90 μm) increased markedly with diminishing bone stiffness, suggesting substantially reduced biomechanical safety margins in severe osteoporotic conditions. These quantitative estimates indicate that while metaphyseal cones maintain theoretical osseointegration potential in osteoporotic bone, the interfacial biomechanical environment becomes progressively less favourable as bone quality deteriorates.

Principal strain analysis demonstrated that regions of elevated strain are consistently observed at the geometrical interfaces, particularly at the cone’s inferior surface and stem base. The volume of bone exceeding yield strain thresholds increased markedly as bone stiffness declined. In the most severe osteoporotic model (M32E40) during SD, up to 16% of cancellous bone exceeded critical yield thresholds, indicating regions susceptible to irreversible plastic deformation or microfracture propagation. The predominant moment about the lateral axis (Mx) governed the principal strain distributions in the coronal plane. Elevated tensile strains at the implant base may predispose to interfacial debonding or progressive implant loosening, while concentrated compressive strains at the posterior interface may contribute to secondary fractures. Furthermore, anterior interface separation altered load transfer mechanisms, potentially inducing stress shielding phenomena.42-44 With progressive reduction in lobe support, strain concentrations intensified at the stem terminus, a biomechanical factor strongly associated with the clinically documented ‘end-of-stem pain’ phenomenon.45,46

Bone volume experiencing supraphysiological strain increased markedly with decreasing bone stiffness. This finding indicated a substantially elevated risk for maladaptive bone remodelling processes in osteoporotic patients. Although physiologically normal bone demonstrates the capacity to accommodate localized yielding through microdamage repair mechanisms,47 osteoporotic bone exhibiting compromised regenerative capacity may be unable to withstand the elevated strain environment, potentially leading to progressive bone loss and implant subsidence.23 Longer stems may be needed in conjunction with cones to manage these phenomena in osteoporotic patients.39 The comparative analysis of long-stem configurations confirmed this hypothesis, demonstrating considerable improvements in metaphyseal stability through enhanced diaphyseal fixation. Extended stems demonstrated reductions in micromotion across all fracture configurations. Additionally, supraphysiological strain volume decreased by 47% in severely osteoporotic bone (E40), indicating that extended stems can effectively bypass compromised metaphyseal bone quality. However, this enhanced proximal stability was achieved at the expense of increased strain concentration at the stem terminus, creating potential risk zones for end-of-stem complications.45,46 These findings support the clinical rationale for longer stems in severely osteoporotic patients while highlighting the importance of careful patient selection to minimize distal complications.

Biomechanically, the posteromedial tibial plateau functions as the primary load-bearing region during physiological gait cycles.48 In this study, medial TPFs generated more micromotion and strain compared to the lateral fractures under most conditions. However, contact alterations due to osteoporosis presented unique challenges for implant stability in lateral defects, particularly with severe bone quality deterioration (E40). In these cases, separation at the posterior superior interface resulted in concentrated tangential micromotion that exceeded values observed in medial defects. This finding highlights how defect location and bone quality interact in complex ways that cannot be predicted by considering either factor in isolation.

SD consistently produced the most adverse biomechanical environment across all tested parameters.14,26,49 This finding was consistent with the greater forces and moments associated with SD activity, underscoring the importance of evaluating metaphyseal cone performance under diverse physiological loading conditions rather than relying solely on simplified axial loading.

The markedly elevated strain and micromotion values during SD in osteoporotic models suggest that activity modification during the early healing phase may be advantageous. Specifically, temporary restriction of SD activities could be particularly beneficial for osteoporotic patients with TPFs treated with metaphyseal cones, potentially enhancing primary stability and reducing the risk of early fixation failure or delayed osseointegration.

Primary limitations of this study included the implementation of simplified material properties and the exclusion of time-dependent mechanical behaviours. Specifically, while cortical bone is known to be orthotropic,50 the isotropic approach used in this study is justified as the analysis primarily focuses on cone-cancellous bone interactions, with cortical bone playing a secondary mechanical role. Similarly, although trabecular bone is naturally anisotropic, heterogeneous, and time-dependent,51 it was modelled here as homogeneous. The construction of heterogeneous models typically relies on subject-specific scans with varying geometry and properties. However, as the aim of this study was to compare distinct fracture scenarios while preserving geometrical and material consistency to establish trends, a generic geometry with homogeneous properties was preferred. This approach prevented results from becoming subject-specific and maintained simulation transparency, consistent with previous methodologies.52

Although bone exhibits complex viscoelastic properties and strain-rate dependency, the use of linear elastic models was justified by the relatively small deformations observed under physiological loading conditions. Previous studies have demonstrated that material nonlinearity minimally influences interface micromotion predictions, and the bone volume exceeding strain thresholds remains a reliable indicator of potential mechanical failure.30,41 Additionally, static analysis cannot fully capture the cyclic and time-dependent loads experienced during daily activities. However, the applied loading parameters were derived from peak values observed in in vivo dynamic experiments, representing worst-case scenarios for each activity type. This approach ensured conservative estimations of implant stability and bone response. Furthermore, direct experimental validation of internal strain fields for these specific multivariable defect configurations is currently not feasible for whole-bone specimens, limiting our ability to directly corroborate the predicted strain distributions with in vitro data.

This research provides biomechanical evidence supporting the use of metaphyseal cones for managing large bone defects resulting from TPFs in osteoporotic patients requiring acute TKA. Additionally, the study provides quantitative data that can inform critical thresholds for surgical decision-making. The data suggest that with appropriate patient selection and postoperative management, these implants can achieve satisfactory stability even in compromised bone conditions. The comparative analysis of long-stem configurations demonstrated substantial biomechanical advantages in severely osteoporotic bone, with reductions in micromotion and a 47% decrease in supraphysiological strain volume. However, these benefits came at the expense of increased strain concentration at the stem terminus.

The quantitative relationship between bone quality and biomechanical performance identified in this study establishes a foundation for patient-specific preoperative planning and follow-up care. Future clinical investigations should focus on validating these biomechanical findings through long-term outcome studies of patients with varying degrees of osteoporosis treated with metaphyseal cones for TPFs.

Author contributions

Y. Ren: Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft

C. E. H. Scott: Conceptualization, Supervision, Writing – review & editing

S. Xie: Methodology, Writing – review & editing

P. Pankaj: Conceptualization, Methodology, Supervision, Writing – review & editing

Funding statement

The authors received no financial or material support for the research, authorship, or publication of this article.

ICMJE COI statement

The data on implants used in this study were provided by Stryker. C. E. H. Scott reports an institutional grant from Stryker, consulting fees from Stryker, Smith & Nephew, and Osstec, payment for teaching on courses from Stryker, all of which are unrelated to this study. C. E. H. Scott is also the Editor-in-Chief of Bone & Joint Research, a member of the editorial board for The Bone & Joint Journal, and sits on the advisory boards for Osstec and Smith & Nephew and the data safety monitoring board for the PASHION Study. S. Xie is the co-founder and director of Smart Surgical Solutions.

Data sharing

All data generated or analyzed during this study are included in the published article and/or in the supplementary material.

Acknowledgements

The authors would like to thank Stryker Orthopaedics for providing the computer-aided engineering (CAE) models of the tibial components used in this study.

Supplementary material

Figures displaying area percentage distributions of normal micromotion (20 to 90 μm) across L-WA, M-WA, L-SD and M-SD, complementing the tangential micromotion distributions in Figure 5; and superior and coronal views of minimum (compressive) principal strain contours for lateral and medial defects during stair descending, complementing the maximum principal strain contours in Figures 6 and 7.

© 2026 Ren et al. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND 4.0) licence, which permits the copying and redistribution of the work only, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/4.0/

Data Availability

All data generated or analyzed during this study are included in the published article and/or in the supplementary material.

References

  • 1. Donovan RL, Smith JRA, Yeomans D, et al. Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom. Injury. 2022;53(6):2219–2225. doi: 10.1016/j.injury.2022.03.048. [DOI] [PubMed] [Google Scholar]
  • 2. Gupta S, Sadczuk D, Riddoch FI, et al. Pre-existing knee osteoarthritis and severe joint depression are associated with the need for total knee arthroplasty after tibial plateau fracture in patients aged over 60 years. Bone Joint J. 2024;106-B(1):28–37. doi: 10.1302/0301-620X.106B1.BJJ-2023-0172.R2. [DOI] [PubMed] [Google Scholar]
  • 3. Strafford M, Biddle M, Rooney B. The requirement for total knee arthroplasty following surgical fixation of tibial plateau fractures. Bone Jt Open. 2025;6(12):1575–1580. doi: 10.1302/2633-1462.612.BJO-2025-0278.R1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Softness KA, Murray RS, Evans BG. Total knee arthroplasty and fractures of the tibial plateau. World J Orthop. 2017;8(2):107–114. doi: 10.5312/wjo.v8.i2.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Makaram NS, Param A, Clement ND, Scott CEH. Primary versus secondary total knee arthroplasty for tibial plateau fractures in patients aged 55 or over-a systematic review and meta-analysis. J Arthroplasty. 2024;39(2):559–567. doi: 10.1016/j.arth.2023.08.016. [DOI] [PubMed] [Google Scholar]
  • 6. Abdel MP, von Roth P, Cross WW, Berry DJ, Trousdale RT, Lewallen DG. Total knee arthroplasty in patients with a prior tibial plateau fracture: a long-term report at 15 years. J Arthroplasty. 2015;30(12):2170–2172. doi: 10.1016/j.arth.2015.06.032. [DOI] [PubMed] [Google Scholar]
  • 7. Scott CEH, Davidson E, MacDonald DJ, White TO, Keating JF. Total knee arthroplasty following tibial plateau fracture: a matched cohort study. Bone Joint J. 2015;97-B(4):532–538. doi: 10.1302/0301-620X.97B4.34789. [DOI] [PubMed] [Google Scholar]
  • 8. Scott CEH, Param A, Moran M, Makaram NS. Acute total knee arthroplasty for unicondylar tibial plateau fracture using metaphyseal cones. Arthroplast Today. 2023;23:101209. doi: 10.1016/j.artd.2023.101209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Siddiqi A, Chen AF, Piuzzi NS, Kelly MA. The use of metaphyseal cones and sleeves in revision total knee arthroplasty. J Am Acad Orthop Surg. 2021;29(18):e904–e920. doi: 10.5435/JAAOS-D-20-01431. [DOI] [PubMed] [Google Scholar]
  • 10. Piovan G, Bori E, Padalino M, Pianigiani S, Innocenti B. Biomechanical analysis of patient specific cone vs conventional stem in revision total knee arthroplasty. J Orthop Surg Res. 2024;19(1):439. doi: 10.1186/s13018-024-04936-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Potter GD, Abdel MP, Lewallen DG, Hanssen AD. Midterm results of porous tantalum femoral cones in revision total knee arthroplasty. J Bone Joint Surg Am. 2016;98(15):1286–1291. doi: 10.2106/JBJS.15.00874. [DOI] [PubMed] [Google Scholar]
  • 12. Kayani B, Howard LC, Neufeld ME, Greidanus NV, Masri BA, Garbuz DS. Porous tantalum metaphyseal cones for severe femoral and tibial bone defects in revision total knee arthroplasty are reliable for fixation at mean 5-year follow-up. J Arthroplasty. 2024;39(9S2):S374–S379. doi: 10.1016/j.arth.2024.03.022. [DOI] [PubMed] [Google Scholar]
  • 13. Denehy KM, Abhari S, Krebs VE, et al. Metaphyseal fixation using highly porous cones in revision total knee arthroplasty: minimum two year follow up study. J Arthroplasty. 2019;34(10):2439–2443. doi: 10.1016/j.arth.2019.03.045. [DOI] [PubMed] [Google Scholar]
  • 14. Innocenti B. Are flexible metaphyseal femoral cones stable and effective? A biomechanical study on hinged total knee arthroplasty. J Arthroplasty. 2024;39(5):1328–1334. doi: 10.1016/j.arth.2023.11.009. [DOI] [PubMed] [Google Scholar]
  • 15. Xie S, Conlisk N, Hamilton D, Scott C, Burnett R, Pankaj P. A finite element analysis of tibial tritanium cones without stems in varying bone defects. Knee. 2020;27(3):656–666. doi: 10.1016/j.knee.2020.02.019. [DOI] [PubMed] [Google Scholar]
  • 16. Quevedo González FJ, Meyers KN, Schraut N, et al. Do metaphyseal cones and stems provide any biomechanical advantage for moderate contained tibial defects in revision TKA? A finite-element analysis based on a cadaver model. Clin Orthop Relat Res. 2021;479(11):2534–2546. doi: 10.1097/CORR.0000000000001912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Wang X, Li X, Wang C, et al. Stability of three‐dimensional printed custom‐made metaphyseal cone for tibial bone defects reconstruction: a finite element analysis and biomechanical study. Orthop Surg. 2023;15(11):2937–2946. doi: 10.1111/os.13885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Gao X, Fraulob M, Haïat G. Biomechanical behaviours of the bone-implant interface: a review. J R Soc Interface. 2019;16(156):20190259. doi: 10.1098/rsif.2019.0259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Bernhardsson M, Sandberg O, Aspenberg P. Experimental models for cancellous bone healing in the rat. Acta Orthop. 2015;86(6):745–750. doi: 10.3109/17453674.2015.1075705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Kohli N, Stoddart JC, van Arkel RJ. The limit of tolerable micromotion for implant osseointegration: a systematic review. Sci Rep. 2021;11(1):10797. doi: 10.1038/s41598-021-90142-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Zebaze RMD, Ghasem-Zadeh A, Bohte A, et al. Intracortical remodelling and porosity in the distal radius and post-mortem femurs of women: a cross-sectional study. Lancet. 2010;375(9727):1729–1736. doi: 10.1016/S0140-6736(10)60320-0. [DOI] [PubMed] [Google Scholar]
  • 22. Chen J, Hao Z, Li H, et al. Osteoporotic osseointegration: therapeutic hallmarks and engineering strategies. Theranostics. 2024;14(10):3859–3899. doi: 10.7150/thno.96516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Li Y, He S, Hua Y, Hu J. Effect of osteoporosis on fixation of osseointegrated implants in rats. J Biomed Mater Res B Appl Biomater. 2017;105(8):2426–2432. doi: 10.1002/jbm.b.33787. [DOI] [PubMed] [Google Scholar]
  • 24. Scott CEH, Eaton MJ, Nutton RW, Wade FA, Evans SL, Pankaj P. Metal-backed versus all-polyethylene unicompartmental knee arthroplasty: proximal tibial strain in an experimentally validated finite element model. Bone Joint Res. 2017;6(1):22–30. doi: 10.1302/2046-3758.61.BJR-2016-0142.R1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Xie S, Conlisk N, Hamilton D, Scott C, Burnett R, Pankaj P. Metaphyseal cones in revision total knee arthroplasty: the role of stems. Bone Joint Res. 2020;9(4):162–172. doi: 10.1302/2046-3758.94.BJR-2019-0239.R1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Ren Y, Scott CEH, Xie S, Pankaj P. Biomechanical evaluation of asymmetric metaphyseal cone applications for lateral tibial plateau fractures: a finite element study. Bone Joint Res. 2025;14(10):860–870. doi: 10.1302/2046-3758.1410.BJR-2024-0579.R1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Ren Y, Scott CEH, Xie S, Pankaj P. Asymmetric metaphyseal cones for AORI type 2 medial defects in tibial plateau fractures during acute TKA. J Orthop Res. 2026;44(2):e70137. doi: 10.1002/jor.70137. [DOI] [PubMed] [Google Scholar]
  • 28. Vanlommel J, Luyckx JP, Labey L, Innocenti B, De Corte R, Bellemans J. Cementing the tibial component in total knee arthroplasty: which technique is the best? J Arthroplasty. 2011;26(3):492–496. doi: 10.1016/j.arth.2010.01.107. [DOI] [PubMed] [Google Scholar]
  • 29. Schatzker J, McBroom R, Bruce D. The tibial plateau fracture: the Toronto experience 1968-1975. Clin Orthop Relat Res. 1979;(138):94–104. [PubMed] [Google Scholar]
  • 30. Donaldson FE, Pankaj P, Simpson AHRW. Bone properties affect loosening of half-pin external fixators at the pin-bone interface. Injury. 2012;43(10):1764–1770. doi: 10.1016/j.injury.2012.07.001. [DOI] [PubMed] [Google Scholar]
  • 31. Completo A, Simões JA, Fonseca F, Oliveira M. The influence of different tibial stem designs in load sharing and stability at the cement-bone interface in revision TKA. Knee. 2008;15(3):227–232. doi: 10.1016/j.knee.2008.01.008. [DOI] [PubMed] [Google Scholar]
  • 32. Elias CN, Lima JHC, Valiev R, et al. Biomedical applications of titanium and its alloys. JOM. 2008;60(3):46–49. doi: 10.1007/s11837-008-0031-1. [DOI] [Google Scholar]
  • 33. Bergmann G, Bender A, Graichen F, et al. Standardized loads acting in knee implants. PLoS One. 2014;9(1):e86035. doi: 10.1371/journal.pone.0086035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Abdul-Kadir MR, Hansen U, Klabunde R, Lucas D, Amis A. Finite element modelling of primary hip stem stability: the effect of interference fit. J Biomech. 2008;41(3):587–594. doi: 10.1016/j.jbiomech.2007.10.009. [DOI] [PubMed] [Google Scholar]
  • 35. Rancourt D, Shirazi-Adl A, Drouin G, Paiement G. Friction properties of the interface between porous-surfaced metals and tibial cancellous bone. J Biomed Mater Res. 1990;24(11):1503–1519. doi: 10.1002/jbm.820241107. [DOI] [PubMed] [Google Scholar]
  • 36.Nazarpour S. Thin Films and Coatings in Biology. Dordrecht: Springer Nature; 2013. [DOI] [Google Scholar]
  • 37. Huang K, Wu T, Lou J, et al. Impact of bone-implant gap size on the interfacial osseointegration: an in vivo study. BMC Musculoskelet Disord. 2023;24(1):115. doi: 10.1186/s12891-023-06215-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Pilliar RM, Lee JM, Maniatopoulos C. Observations on the effect of movement on bone ingrowth into porous-surfaced implants. Clin Orthop Relat Res. 1986;(208):108–113. [PubMed] [Google Scholar]
  • 39. Scott CEH, Biant LC. The role of the design of tibial components and stems in knee replacement. J Bone Joint Surg Br. 2012;94-B(8):1009–1015. doi: 10.1302/0301-620X.94B8.28289. [DOI] [PubMed] [Google Scholar]
  • 40. Bayraktar HH, Morgan EF, Niebur GL, Morris GE, Wong EK, Keaveny TM. Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J Biomech. 2004;37(1):27–35. doi: 10.1016/s0021-9290(03)00257-4. [DOI] [PubMed] [Google Scholar]
  • 41. MacLeod AR, Simpson AHRW, Pankaj P. Reasons why dynamic compression plates are inferior to locking plates in osteoporotic bone: a finite element explanation. Comput Methods Biomech Biomed Engin. 2015;18(16):1818–1825. doi: 10.1080/10255842.2014.974580. [DOI] [PubMed] [Google Scholar]
  • 42. Faizan A, Bhowmik-Stoker M, Alipit V, et al. Development and verification of novel porous titanium metaphyseal cones for revision total knee arthroplasty. J Arthroplasty. 2017;32(6):1946–1953. doi: 10.1016/j.arth.2017.01.013. [DOI] [PubMed] [Google Scholar]
  • 43. Zeng W, Liu Y, Hou X. Biomechanical evaluation of internal fixation implants for femoral neck fractures: a comparative finite element analysis. Comput Methods Programs Biomed. 2020;196:105714. doi: 10.1016/j.cmpb.2020.105714. [DOI] [PubMed] [Google Scholar]
  • 44. Zhang QH, Cossey A, Tong J. Stress shielding in periprosthetic bone following a total knee replacement: effects of implant material, design and alignment. Med Eng Phys. 2016;38(12):1481–1488. doi: 10.1016/j.medengphy.2016.09.018. [DOI] [PubMed] [Google Scholar]
  • 45. Kim MS, Koh IJ, Sohn S, Park HC, In Y. Modified hybrid cementing technique reduces stem tip pain and improves patient’s satisfaction after revision total knee arthroplasty. J Orthop Surg Res. 2020;15(1):393. doi: 10.1186/s13018-020-01921-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Completo A, Fonseca F, Simões JA, Ramos A, Relvas C. A new press-fit stem concept to reduce the risk of end-of-stem pain at revision TKA: a pre-clinical study. Knee. 2012;19(5):537–542. doi: 10.1016/j.knee.2011.12.008. [DOI] [PubMed] [Google Scholar]
  • 47. Taylor D, Hazenberg JG, Lee TC. Living with cracks: damage and repair in human bone. Nat Mater. 2007;6(4):263–268. doi: 10.1038/nmat1866. [DOI] [PubMed] [Google Scholar]
  • 48. Johnson F, Leitl S, Waugh W. The distribution of load across the knee. A comparison of static and dynamic measurements. J Bone Joint Surg Br. 1980;62(3):346–349. doi: 10.1302/0301-620X.62B3.7410467. [DOI] [PubMed] [Google Scholar]
  • 49. Han S, Patel RV, Ismaily SK, Jones HL, Gold JE, Noble PC. Micromotion and migration of cementless tibial trays under functional loading conditions. J Arthroplasty. 2021;36(1):349–355. doi: 10.1016/j.arth.2020.07.017. [DOI] [PubMed] [Google Scholar]
  • 50. Donaldson FE, Pankaj P, Cooper DML, Thomas CDL, Clement JG, Simpson A. Relating age and micro-architecture with apparent-level elastic constants: a micro-finite element study of female cortical bone from the anterior femoral midshaft. Proc Inst Mech Eng H. 2011;225(6):585–596. doi: 10.1177/2041303310395675. [DOI] [PubMed] [Google Scholar]
  • 51. Levrero-Florencio F, Manda K, Margetts L, Pankaj P. Nonlinear homogenisation of trabecular bone: effect of solid phase constitutive model. Proc Inst Mech Eng H. 2017;231(5):405–414. doi: 10.1177/0954411916676220. [DOI] [PubMed] [Google Scholar]
  • 52. Conlisk N, Howie CR, Pankaj P. The role of complex clinical scenarios in the failure of modular components following revision total knee arthroplasty: a finite element study. J Orthop Res. 2015;33(8):1134–1141. doi: 10.1002/jor.22894. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analyzed during this study are included in the published article and/or in the supplementary material.


Articles from Bone & Joint Research are provided here courtesy of British Editorial Society of Bone and Joint Surgery

RESOURCES