Quality of rotator cuff repair did not alter PM outcome. PM did not occur more frequently in hemi-artho-plasty compared to total shoulder arthroplasty. A more upward oriented glenoid was observed in the PMearly and PMlate groups.
Radiological assessment based on conventional radiographs showed that a prediction of humeral loosening can be made within four years after surgery.
The pathology of the RAshoulder differs from that of the OA shoulder. In addition to replacement of the glenohumeral joint, procedures have to be performed to deal with disorders specific for the RA shoulder, such as bone deficiency of the glenoid, thinning or rupture of the rotator cuff, and severe internal rotation defomity. Timing of shoulder arthroplasty in the rheumatoid patient is stilla controversial issue. Clinical symptoms are more important than the radiographic destruction for timing of surgery. The status of the rotator cuff and the glenoid will predict the functional result. Controversial issues ar whether the synovitis of the AC-joint and the subacromial area should be treated arthroscopically early to prevent destruction of the cuff, whether repair of the rotator cuff or tendon transfers effect the end result, and whether replacement of the glenoid is beneficial. The surgical management of advanced destruction of the rheumatoid elbow differs from one center to the next, as controversy exists regarding the success of synovectomy. Total elbow arthroplasty in patients with advanced joint destruction has gained popularity. Controversial issues and new developments will be discussed.
A changed kinematic elbow axis can cause early loosening of elbow endoprostheses and can decrease the functional outcome. Therefore, these prostheses and their alignment tools are designed to reconstruct normal joint kinematics. We investigated whether it is possible to reconstruct the pre-operative kinematic axis of the elbow when an iBP™ elbow endoprosthesis (Biomet) has been placed. The calibrated Flock of Birds® electromagnetic tracking device registered controlled passive elbow flexion of ten embalmed upper extremities. The pre-operative kinematic elbow axes were established using helical axes. Results were expressed in the humeral coordinate system defined by the glenohumeral joint rotation centre and the lateral and medial epicondyle of the humerus. The glenohumeral joint rotation centre was determined using a regression method. The senior author implanted the iBP™ elbow endoprosthesis using standard instrumentation for humeral component alignment. The post-operative kinematic axes were then calculated. A Student’s t-test was performed to compare the pre- and post-operative axes. No significant differences were found in the direction of the kinematic elbow axes before and after surgery, indicating no alteration in the valgus/varus angle or change in longitudinal rotation of the ulna with respect to the humerus. However, the axis was located significantly more distal (mean difference 7.0 mm, p = 0.004) after surgery. The ventral-dorsal location of the kinematic axis was not significantly different (p = 0.748) after surgery, but there was some variation in individual axes. The iBP™ Elbow System enables the reconstruction of the direction of the pre-operative kinematic elbow axis. While the exact position of the pre-operative axis could not be reproduced in vitro, the kinematic axis of the elbow is expected to be less distal in vivo as a result of the extensive destruction of the rheumatoid elbow. Individually adjustable alignment tools might enable more precise reconstruction.
Early micromotion of joint prostheses with respect to the bone can be assessed very accurately by a method called Roentgen Stereophotogrammetric Analysis (RSA); a method that uses two simultaneous X-ray exposures of the joint and has an accuracy of 0.1 mm for translations and 0.3 degree for rotations [ In a previous study we have developed a Model-based RSA algorithm, which does not require the attachment of markers to the prosthesis [ Because the accuracy of this NOA algorithm was not as high as the accuracy of the currently used Marker-based RSA, we have studied alternative algorithms for Model-based RSA. From a simulation study in which we used models of the Interax Total Knee Prosthesis (Stryker-Howmedica) and the G2 Hip Prosthesis (Johnson &
John-son), we found that the results of the NOA algorithm can be improved substantially. The newly developed Model-based RSA algorithm is based on minimisation of the mean distance between the points of the actual contour and the virtually projected contour. The simulation study shows that the new algorithm is superior to the NOA-algorithm in situations where part of the contour is occluded, as well as in situations where the contour is distorted by noise. With the new algorithm, the residual position error can be reduced to 0.1 mm. and also the residual orientation error can be reduced to 0.3 degree, making Model-based RSA a future alternative to Marker-based RSA.
To measure micromotion of an orthopaedic implant with respect to its surrounding bone, Roentgen Stereo-photogrammetric Analysis (RSA) was developed. A disadvantage of conventional RSA is that it requires the implant to be marked with tantalum beads. This disadvantage can potentially be resolved with model-based RSA, whereby a 3D model of the implant is used for matching with the actual images and the assessment of position and rotation of the implant. In this study, an improved model-based RSA algorithm is presented and validated in phantom experiments. This algorithm is capable to process projection contours that contain drop-outs. To investigate the influence of the accuracy of the implant models that were used for model-based RSA, we studied both Computer Aided Design (CAD) models as well as models obtained by means of Reversed Engineering (RE) of the actual implant. The results demonstrate that the RE-models provide more accurate results than the CAD models. If these RE models are derived from the very same implant, it is possible to achieve a maximum standard deviation of the error in the migration calculation of 0.06 mm for translations in x- and y-direction and 0.14 mm for the out of plane z-direction, respectively. For rotations about the y-axis, the standard deviation was about 0.1 degree and for rotations about the x- and z-axis 0.05 degree. For the femur component, it was also possible to reach these accurate results for non-scanned components. The results show that the new algorithm is an improvement with respect to a study we presented earlier [ Studies with clinical RSA-radiographs must prove that these results can also be reached in a clinical setting, making model-based RSA a possible alternative for marker-based RSA.
We would like to present an overview of a research programme that aims to improve drastically the state-of-the-art in shoulder joint replacement surgery. Development of Improved endoProstheses for the upper EXtremities (DIPEX), as this effort is called, is a clinically driven multi-disciplinary programme consisting of many contributory projects. Within the project two main directions of research can be distinguished: the development of an improved shoulder prosthesis and the improvement of the surgical process. For this audience, we would like to present our approach to the improvement of the surgical process. A newly designed visualisation platform called DSCAS (Delft Shoulder Computer Assisted Surgery) will play a central role within the DIPEX project. This platform is not only able to visualise CT and MRI datasets with a range of different algorithms, but is also able to calculate parameters that are essential for surgery and extract information from these datasets. The extracted information serves as input for the Delft Shoulder Model, an inverse dynamic musculo-skeletal finite element model, with which the effect of surgical decisions on the functional outcome, i.e. range of motion, stability of the joint etc. can be predicted and visualised. Concerning per-operative guidance two approaches are currently studied – a camera-based approach and mechanical approach – that have both their advantages and disadvantages. Comparison of the two approaches in an experimental setting as well as in a clinical setting is part of the DIPEX project. The ultimate goal of this part of the DIPEX project is to create a surgical support infrastructure that can be used to predict the optimal surgical protocol and can assist with the selection of the most suitable endoprosthesis for a particular patient. Subsequently, this support infrastructure must assist the surgeon during the operation in executing his surgical plan.