Background

Transcription factor nuclear factor E2p45-related factor 2 (Nrf2) is crucial for controlling the antioxidant response and maintaining cellular redox homeostasis. Binding of Nrf2 to antioxidant response elements (ARE) promotes the expression of anti-oxidative stress enzymes. In osteoblasts, Nrf2 directly interacts with Runx2, a strong transcriptional activator of osteoblast-specific genes. Sox9, a key regulator of chondrocyte differentiation is dominant over Runx2 in mesenchymal chondrogenic precursors. We therefore aimed to elucidate the role of Nrf2, and its regulation of Sox9, in chondrocytes.

Aim of the study was to evaluate if abrasion-arthroplasty (AAP) and abrasion-chondroplasty (ACP) leads to a release of mesenchymal stem cell (MSC) like cells from the bone marrow to the joint cavity where they probably differentiate into a chondrogenic phenotype.

Musculoskeletal loading plays an important role in the primary stability of THA. There are about 210,000 primary THA interventions p.a. in Germany. Consideration of biomechanical aspects during computer-assisted orthopaedic surgery is recommendable in order to obtain satisfactory long-term results. For this purpose simulation of the pre- and post-operative magnitude of the resultant hip joint force R and its orientation is of interest. By means of simple 2D-models (Pauwels, Debrunner, Blumentritt) or more complex 3D-models (Iglič), the magnitude and orientation of R can be computed patient-individually depending on their geometrical and anthropometrical parameters. In the context of developing a planning module for computer-assisted THA, the objective of this study was to evaluate the mathematical models. Therefore, mathematical model computations were directly compared to in-vivo measurements obtained from instrumented hip implants.

With patient-specific parameters the magnitude and orientation of R were model-based computed for three patients (EBL, HSR, KWR) of the OrthoLoad-database. Their patient-specific parameters were acquired from the original patient X-rays. Subsequently, the computational results were compared with the corresponding in-vivo telemetric measurements published in the OrthoLoad-database. To obtain the maximum hip joint load, the static single-leg-stance was considered. A reference value for each patient for the maximum hip load under static conditions was calculated from OrthoLoad-data and related to the respective body weights (BW).

On average there are large deviations of the results for the magnitude (Ø=147%) and orientation (Ø=14.35° too low) of R obtained by using Blumentritt's model from the in-vivo results/measurements. The differences might be partly explained by the supplemental load of 20% BW within Blumentritt's model which is added to the input parameter BW in order to consider dynamic gait influences. Such a dynamic supplemental load is not applied within the other static single-leg-stance models. Blumentritt's model assumptions have to be carefully reviewed due to the deviations from the in-vivo measurement data.

Iglič's 3D-model calculates the magnitude (Ø17%) and the orientation (Ø49%) of R slightly too low. For the magnitude one explanation could be that his model considers nine individual 3D-sets of muscle origins and insertion points taken from literature. This is different from other mathematical models. The patient-individual muscle origin and insertion points should be used.

Pauwels and Debrunner's models showed the best results. They are in the same range compared to in-vivo data. Pauwels's model calculates the magnitude (Ø5%) and the orientation (Ø28%) of R slightly higher. Debrunner's model calculates the magnitude (Ø1%) and the orientation (Ø14%) of R slightly lower.

In conclusion, for the orientation of R, all the computational results showed variations which tend to depend on the used model.

There are limitations coming along with our study: as our previous studies showed, an unambiguous identification of most landmarks in an X-ray (2D) image is hardly possible. Among the study limitations there is the fact that the OrthoLoad-database currently offers only three datasets for direct comparison of static single leg stance with in-vivo measurement data of the same patient. Our ongoing work is focusing on further validation of the different mathematical models.

Introduction: Restoration of neutral alignment of the leg is an important factor affecting the long-term results of total knee arthroplasty (TKA). Recent developments in computer-assisted surgery have focused on systems for improving TKA. To verify that computer assistance improves the leg alignment and the component orientation, we present a single center study with 1000 patients.

Materials and Methods: In a prospective study two groups of 500 patients each undergoing TKA had operations using either a computer-assisted image free navigation system or a conventional technique. Alignment of the leg and the orientation of components were determined on post-operative long-leg coronal and lateral films.

Results: The mechanical axis of the leg was significantly better in the computer-assisted group (97%, within ±3° varus/valgus) compared with the conventional group (78,5%, within ±3° varus/valgus). The coronal alignment of the femoral component was also more accurate in the computer-assisted group.

Discussion: Computer-assisted TKA gives a better correction of alignment of the leg and orientation of the components compared with the conventional technique. Potential benefits in the long-term outcome and functional improvement require further investigation.

Soft tissue management is a critical factor in total knee arthroplasty especially in valgus knees. The stepwise release has been based upon surgeon’s experience until now. Computer assisted surgery gained increasing scientific interest in recent times and allows the intraoperative measurement of leg axis and gap size in extension and flexion.

We therefore aimed to analyse the effect of the sequential lateral soft tissue release and the resulting change in the a.p. limb axis on the one hand and the tibiofemoral gaps on the other hand as well in extension as in flexion in 8 cadaveric knees. Measurements were obtained using a CT-free navigation system.

In extension the highest increase compared to the previous release step was found for the first (iliotibial band, p=0.002), second (popliteus muscle, p=0.0003), third (LCL, 0.007) and the sixth (entire PCL, p=0.001) release step. In 90° flexion all differences of the lateral release steps were statistically significant (p< 0.004). Massive progression of the lateral gap in flexion was found after the second (popliteus muscle, p=0.004) and third (LCL, 0.007) release step.

Computer assisted surgery allows to measure the effect of each release step of the sequential lateral release sequence and helps the surgeon to asses the result better.

Background: During the past decade, there has been a resurgence of interest in hip resurfacing as a mode of treatment for the younger patient with hip disease since major disadvantages of previous resurfacing systems have been overcome. The purpose of the presented study was to clarify if an imageless navigation system will allow precise placement of the femoral component.

Methods: Between September 2004 and May 2006, 50 metal-on-metal surface arthroplasties each were performed either using an imageless navigation system or the conventional technique. The inclination and the axial alignment of the femoral component were determined by two independend examiners and compared to the values presented by the navigation system.

Results: In the preoperative x-rays a mean CCD-Angle of 129.2 degrees (Control group: 127.5°) was measured. The mean femoral shaft angle was 137.5 degrees (Control group 133°) postoperatively with a mean deviation of 2.1 degrees compared to the values shown by the system. In the computer assisted group the mean deviation from the ideal placement in the axial plane was 2.9 degrees compared to 4.8° when using the conventional technique.

Conclusion: The use of a navigation system was associated with only an average time loss of 7 minutes for surface data acquisition und mounting of the reference base. The computer assisted technique appears to be helpful to avoid notching during the femoral bone preparation and improve implant positioning which might improve durability.

Introduction: Previous reports have described the potentially compromising effect of a high tibial osteotomy (HTO) on the results of a subsequent total knee arthroplasty (TKA). Although the reasons are not clear, some authors reported of problems in soft tissue balancing in TKA following a previous HTO.

Method: In a prospective study 22 patients with an average interval of 5.8 years after closed wedge HTO, were operated for TKA. All surgeries were performed with the BrainLAB CT-free navigation system and measurements of the extension and flexion gap were assessed. The intraoperative data were compared to a control group of 100 consecutive computer assisted TKA without previous HTO.

Results: In the study group a highly significant shift towards a medial opening of the flexion gap between the posterior condylar line and the tibial resection (study group 0.4° +/− 4.7° medial opening vs. control group 3.4° +/− 3.3° lateral opening, p< 0.001) was observed. 45% in the study group showed a medial opening of the flexion gap compared to 11% in the control group.

Conclusion: Surgeons should be aware of difficulties in soft-tissue balance in TKA following HTO, especially for the flexion gap configuration and the axial femoral component orientation. The computer assisted technique is helpful to identify soft tissue imbalance.

The accuracy of component implantation is an important factor affecting long term results of unicompartmental knee replacement (UKR), particularly, since overcorrection of the leg axis has been associated with an inferior patients outcome. This problem is aggravated when using a minimally invasive approach with a limited view.

In a prospective study, two groups of 40 UKR each were operated either using a non-image-based navigation system or the conventional technique. Radiographic assessment of postoperative alignment was performed by postoperative long-leg coronal and lateral x-rays.

The results revealed a significant difference between the two groups in favour of navigation with regard to the mechanical axis, as well as the coronal femoral and tibial alignment. In the computer assisted group 38/40 (95%) of UKR were in a range of 4 Degree to 0 degree varus (mechanical axis) compared with 29/40 (72,5%) in the conventional group. There was no significant difference between the groups concerning postoperative range of motion, blood loss and pain score.

The only inconvenience was a lengthening of the operation time (20 min). Due to the limited exposure in minimal invasive unicompartmental TKA the navigation system is helpful in achieving a more precise component orientation. The danger of overcorrection is diminished by real time information about the leg axis at each step during the operation. This improvement could be related to a longer survival rate.