Over the past fifteen years, computer-assisted surgery systems have been more commonly used, especially in joint arthroplasty. They allow a greater accuracy and precision in surgical procedures and thus should improve outcomes and long term results.

New instruments such as guided handheld tools have been recently developed to ultimately eliminate the need for drilling/cutting or milling guides.

To make sure that the handheld tool cuts and/or drills in the desired plane, it has to be servo-controlled. For this purpose, the tool joints are actuated by computer-controlled motors. A tracking system gives the tool position and orientation and a computer calculates the corrections for the motors to keep the tool in the desired plane.

For this servo-control, a very fast tracking system would be necessary. It should be fast enough to follow human motion. Current optical tracking systems used for computer-assisted surgery have a bandwidth of about 10–60 Hz [3]. For servo-control, a bandwidth of about 200–300 Hz would be required to be faster than human reaction; the latency of the system should also be small, about 2–3 ms. Optical tracking systems with a higher bandwidth exist but are too expensive for applications in surgery; besides the latency – due to the complex computer vision treatment involved – is too big.

We have developed a hybrid tracking system consisting of two cameras pointed at the operating field and a sensor unit which can be attached to a handheld tool.

The sensor unit is made up of an inertial measuring unit (IMU) and numerous optical markers. The data from the IMU (three gyroscopes and three accelerometers placed such that their measurement axes are perpendicular to each other) and the marker images from the cameras looking at the optical markers are fed to a data fusion algorithm. This algorithm calculates the position and the orientation of any handheld tool. It can do so at the higher of the two sensor sample rates which is the IMU sample rate in our case.

Our experimental setup consists of an ADIS 16355 IMU which runs at a sample rate of 250 Hz and a pair of stereo cameras which are sampled at 16.7 Hz. The data collected from these sensors are processed offline by the data fusion algorithm. To compare the results of our hybrid system to those of a purely optical tracking system, we use only the marker image data to recalculate the sensor unit's position by triangulation.

The experiment we conducted was a fast motion in a horizontal direction starting from a rest position. The sensor unit position was calculated by the hybrid system and by the optical tracking system using the experimental data. The fast motion started right after the optical sample at t1 and the hybrid system detects it at once. The optical tracking system, on the other hand, only sees the motion at the next optical sample time t2.

These results show that our hybrid system is able to follow a fast motion of the sensor unit whereas a purely optical tracking system is not.

The proposed hybrid tracking system calculates position and orientation of any handheld tool at a high frequency of 250 Hz and thus makes it possible to servo-control the tool to keep it in the desired plane.

Several similar systems fusing optical and inertial data have been described in the literature. They all use processed optical data, i.e. 3D marker positions. Our algorithm uses raw image data to considerably reduce computation time. This hybrid tracking system can be used with any handheld tool developed to substitute existing drilling, cutting or milling instruments used in orthopaedic surgery and particularly in arthroplasty.

The sensor unit can be easily implemented into an existing optical tracking system. For the surgeon, the only change is an additional small inertial sensor besides the optical markers already attached to the tool.

The authors would like to thank the AXA Research Fund for funding G.C. Claasen's work with a doctoral grant and Guillaume Picard for his contributions to the experimental setup.

Knee alignment is a fundamental measurement in the assessment, monitoring and surgical management of patients with OA. In spite of extensive research into the consequences of malalignment, there is a lack of data regarding the potential variation between supine and standing (functional) conditions. The purpose of this study was to explore this relationship in asymptomatic, osteoarthritic and prosthetic knees. Our hypothesis was that the change in alignment of these three groups would be different.

Infrared position capture was used to assess knee alignment for 30 asymptomatic controls and 31 patients with OA, before and after TKA. Coronal and sagittal mechanical femorotibial (MFT) angles in extension (negative values varus/hyperextension) were measured supine and in bi-pedal stance and changes analysed using a paired t-test. To quantify this change in 3D, vector plots of ankle centre displacement relative to the knee centre were produced.

Alignment in both planes changed significantly from supine to standing for all three groups, most frequently towards relative varus and extension. In the coronal plane, the mean±SD(°) of the supine/standing MFT angles was 0.1±2.5/−1.1±3.7 for asymptomatic (p=0.001), −2.5±5.7/−3.6±6.0 for osteoarthritic (p=0.009) and −0.7±1.4/ −2.5±2.0 for prosthetic knees (p<0.001). In the sagittal plane, the mean±SD(°) of the supine/standing MFT angles was −1.7±3.3/−5.5±4.9 for asymptomatic (p<0.001), 7.7±7.1/1.8±7.7 for osteoarthritic (p<0.001) and 6.8±5.1/1.4±7.6 for prosthetic knees (p<0.001). The vector plots showed that the trend of relative varus and extension in stance was similar in overall magnitude and direction between the groups.

The similarities between each group did not support our hypothesis. The consistent kinematic pattern for different knee types suggests that soft tissue restraints rather than underlying joint deformity may be more influential in dynamic control of alignment from lying to standing. This potential change should be considered when positioning TKA components on supine limbs as post-operative functional alignment may be different.

Fixed flexion contracture (FFC) following total knee arthroplasty (TKA) is a source of morbidity for patients. This retrospective review of pre- and post-operative data for 811 total knee replacements with two year follow up aimed to identify pre-operative risk factors for developing FFC and quantify the effect of FFC on outcomes. The incidence of FFC two years post-operation was 3.6%. Advanced age was associated with increased rate of FFC (p=0.02) Males were 2.6 times more likely than females to have FFC at two years (p=0.012). Patients with pre-implant FFC were 2.95 times more likely than those without to have FFC (p=0.028). BMI was not a risk factor (p=0.968). Patients with FFC had poorer outcomes (Oxford Knee Score p=0.003, patient satisfaction p=0.036). The results of this study support the existing literature and clarify a previously contentious point by excluding BMI as a risk factor.

Assessment of coronal knee laxity via manual stress testing is commonly performed during joint examination. While it is generally accepted that the knee should be flexed slightly to assess its collateral restraints, the importance of the exact degree of flexion at time of testing has not been documented. The aim of this study therefore was to assess the effect of differing degrees of knee flexion on the magnitude of coronal deflection observed during collateral stress testing.

Using non-invasive infrared technology, the real-time coronal and sagittal mechanical femorotibial (MFT) angles of three asymptomatic volunteers were measured. A single examiner, blinded to the real-time display of coronal but not sagittal alignment, held the knee in maximum extension and performed manual varus and valgus stress manoeuvres to a perceived end-point. This sequence was repeated at 5° increments up to 30° of flexion. This provided unstressed, varus and valgus coronal alignment measurements as well as overall envelope of laxity (valgus angle – varus angle) which were subsequently regressed against knee flexion.

Regression analysis indicated that all regression coefficients were significantly different to zero (p < 0.001). With increasing knee flexion, valgus MFT angles became more valgus and varus MFT angles became more. The overall laxity of the knee in the coronal plane increased approximately fourfold with 30° of knee flexion.

The results demonstrated that small changes in knee flexion could result in significant changes in coronal knee laxity, an observation which has important clinical relevance and applications. For example the assessment of medial collateral ligament (MCL) injuries can be based on the perceived amount of joint opening with no reference made to knee flexion at time of assessment. Therefore, close attention should be paid to the flexion angle of the knee during stress testing in order to achieve a reliable and reproducible assessment.

The assessment of knee laxity by application of varus and valgus stress is a subjective clinical manoeuvre often used for soft tissue balancing in arthroplasty or for diagnosis of collateral ligament injuries. Quantitative adjuncts such as stress radiographs have enabled a more objective measurement of angular deviation but may be limited by variations in examination technique. The aim of this study was to quantify clinical knee laxity assessment by measurement of applied forces and resultant angulations.

A novel system for measuring the manually-applied forces and moments was developed. Both hardware and software components underwent laboratory validation prior to volunteer testing. Two clinicians performed multiple blinded examinations on two volunteers and the corresponding angular deviations were measured using a validated non-invasive system with a repeatability of ±1° for coronal alignment. The distance between the kinematically-determined knee and ankle centres was used as the moment arm.

Comparison of single measurements of laxity showed a wide intra- and inter-observer variation (up to 3°). However, when the median value of repeated measurements was used there was good repeatability for both a single surgeon on different days and between the two clinicians with angular measurements agreeing within 1°. In spite of this agreement, the magnitudes of the tangential forces and moments applied varied between clinicians and did not correlate with the corresponding angular deviations.

It was not possible to standardise clinical examination using the current system. Orientation of the applied force with respect to the leg was not quantified and during force measurement it became apparent that the assumed tangential direction of application was not true. This may explain the lack of correlation between the force and angulation data. However, for quantitative measurement of coronal knee laxity using non-invasive laxity measurements, the use of a repeated measures protocol may be accurate enough for clinical application.

Purpose

To evaluate the normal bony profiles of the anterior surface of the distal femoral cortex, its relation to the posterior condylar plane and assess the implications of these findings to anterior femoral referencing.

Purpose of the study: Recent data in the literature regarding intra-articular deliver of analgesics during the postoperative period have been encouraging. Patients benefit from optimal analgesia and earlier mobilisation, shortening rehabilitation time and hospital stay and limiting complications. In light of these encouraging results, our institution developed a programme designed to address all postoperative situations associated with implantation of a total knee arthroplasty (TKA).

Material and methods: The programme combines pre-operative counselling and a postoperative programme for multimodal anaesthesia in addition to intra-articular analgesia for 24 hours and early mobilisation. We present here the results of this technique in patients undergoing first-intention TKA. We analysed information collected prospectively in all patients who had TKA from January to June 2008: 319 patients in six months. The operation was performed under peridural anaesthesia supplemented by intra-articular ropivacaine delivered by a catheter for 24 hours. Patients were mobilised, or verticalised, the day of surgery according to individual capacities. Data collected included: pain scores, date of the end of physical therapy, and data reviewed at six weeks.

Results: A cohort of 305 patients was analysed; 36% of patients were mobilised the day of the operation and 93% on day 2. The rate of urinary catheters was 12% and administration of intravenous fluids 10%. Physical therapists determined that 58% of patients could be discharged on 3 after surgery and 85% on day 5. Eighty-percent of patients were free of nausea or vomiting and had well controlled pain. Regarding function, mean range of motion was 85° at discharge with 31% of patients requiring physical therapy. At six weeks, mean range of motion was 95° and only 5% of patients had lost amplitude (reduction > 10° of range of motion) compared to discharge values. Mean scores on the Oxford questionnaire improved from 43 preoperatively to 26 six weeks postoperatively.

Discussion: This multidisciplinary approach guarantees excellent postoperative analgesia with early mobilisation and provides satisfactory results at six weeks. To this can be added the benefit of a lower rate of urinary catheters, administration of intravenous fluids, and physical therapy.

Purpose of the study: Rotation of the tibial implant is an important factor for the functional outcome of total knee arthroplasty (TKA). Any rotational malposition will cause eccentric loading of the plateau. Several techniques have been recommended to avoid malposition, but none has proven superior over the others in terms of reliability or reproductibility. The landmark used to establish rotation must meet two prerequisites: easy identification and reliable representation of the anatomic rotation of the proximal tibia. This study was conducted to compare seven different techniques for landmarking used for choosing the rotation of the tibial base in TKA.

Material and methods: An optoelectronic method was used to measure 50 tibia selected among a collection of 600 skeletons. A palper was used to locate 34 distinct landmarks and institute each reference system. The groups of anatomic points were reconstructed to form lines and plans depending on the comparisons to make: posterior condylar alignment (PCA), transversal alignment (TA), anterior condylar alignment (ACA), alignment of the anterior tibial tuberosity (ATT), the transmalleolar alignment (TMA), the line of the tibial crest (LTC) and a new line, the anterior distal line (ADL). The PCA was used as the reference.

Results: Intra-observer variation was determined in a preliminary study using ten consecutive measurements. The standard deviation was 0.5° with a distribution of 1.8°. Angle: mean [-:internal rotation; +external rotation], standard deviation: difference between the minimum and the maximum. TA: −5.13; 9.2; 38.03; ACA: −12.81; 6.7; 41.74; ATT: 68.72; 8.6; 58.46; TMA: −22.68; 11.6; 72.84; LTC: 67.56; 10.3; 46.11; ADL: 16.61; 13.2; 74.93.

Discussion: This study did not prove convincingly that any one of the tibial alignments was better than another; which demonstrates that use of a single reference is probably inappropriate to determine the rotational alignment of the tibial base for TKA. It was noted however that the anterior condylar line (mean external rotation 12.8°-SD< 7° relative to the PCA) could be pertinent for future research since this line is easily accessible and palpable, particularly during navigated surgery.

Arthritic knees, for the purpose of surgical correction during arthroplasty, are generally thought to be either varus knees or valgus knees and soft tissue releases are done in accordance with the same concept. This view is dependent on the clinical deformity in extended knee and the plain AP radiograph of the extended knee. This concept is now challenged by the observations from our study of the arthritic knee kinematics using computer aided navigation when performing total knee replacement arthroplasty. We performed 283 total knee replacements with computer aided navigation. Imageless navigation was used with Stryker and Orthopilot systems. Bone trackers were fixed to the bones and through real time infrared communication the data was collected. The knee kinematics were recorded before and at the end of surgery. This included measurement of biomechanical axis with the knee extended and then gradually flexed. The effect of flexion on the coronal alignment was recorded real time on the computer. The results were then analysed and compared with plain radiographic deformity on long leg films.

Majority of the knees did not behave in a true varus or valgus fashion. We classified the deformity into different groups depending on the behavior of the knee in coronal plane as it moves from extension to flexion. 2 degree was taken as minimum deviation to signify change, as the knee bends from full extension to flexion. The classification system is as follows

Neutral

Deformity - Varus/Valgus to start with in extension

Gp1

Deformity remains the same as the knee flexes

Gp2

Decreasing deformity but does not reach neutral in flexion

Gp3

Decreasing deformity and crosses to opposite (Varus to valgus or valgus to varus) deformity in flexion

Gp4

Deformity first increases and then decreases but does not reach neutral

Traditional releases of medial or lateral structures without realising the true picture of what happens when the knee is flexed, may not be correct. From our study it is clear that not all arthritic varus or valgus knees behave in the same way. Some of the releases we perform conventionally may not be required or need to be modified depending on the knee kinematics.

As further improvements in surgical accuracy are made possible by computer-aided surgery, there is a demand for new pre- and post- surgical assessment and more accurate intra-operative registration techniques. Ultrasonic palpation is being used in navigated hip surgery but as yet little work had been published on the identification of anatomical landmarks used in knee surgery with this technique. The aim of this study was to investigate the accuracy of the identification of the femoral condyles with ultrasound in both saline and in tissue mimicking material (TMM).

The system comprised of an image free navigation system (OrthoPilot, B Braun Aesculap) synchronized with a standard B-mode ultrasound system (Echoblaster 128, TELEMED) used with passive trackers. Bony anatomy was represented by two sawbone phantoms; one involving an isolated femur and one simulated knee joint. Both phantoms had fiducial markers in the form of steel pins inserted into the condylar eminences of the femur, providing sharply defined structural interfaces for determination of inter-condylar distance (ICD). Initial testing was completed in a waterbath filled with saline (NaCl 4500ppm) maintained at 22°C. Further testing used both sawbone phantoms encased in TMM. To gain accurate dimensions of the ICD, 3D models of both sawbone phantoms were created using a high-resolution non-contact 3D digitiser (Konica Minolta Sensing Inc.) and measurements taken using Geomagic software. Measurements for all test set-ups were repeated and mean (SD) values calculated.

The mean ICD measurement (SD) of the isolated femur from the high resolution 3D model was 53.6mm (1.2mm) (n=4). The ICD for the isolated femur in the saline water bath was 48.8mm (0.7mm) (n=5). For the isolated femur encased in TMM the mean ICD was 54.6mm (0.7mm) (n=4) with the probe positioned parallel to the shaft of the femur and 52.2mm (0.4mm) (n=5) with the probe held perpendicular to the femur. For the second phantom, which consisted of an articulated knee joint, the mean ICD measured from the high-resolution 3D model was 43.5mm (1.0mm) (n=5). When encased in TMM, the mean ICD derived from the navigation system was 42.6mm (1.4mm) (n=5).

Average ICD measurements for phantoms encased in TMM were within 1mm of that determined by high resolution, non-contact 3D digitization. However, results in the saline waterbath were less accurate, with an average difference of 4.8mm in ICD measurement. We believe these differences largely reflect the digitisation error associated with manual registration of the fiducial markers and highlights the difficulty in using this method and taking measurements within one scanned plane. Hence we are now developing a new method of automatic registration that uses multiple scans and will hopefully provide a more accurate outcome.

As well as improved component alignment, recent publications have shown that navigation systems can assess knee kinematics and provide a quantitative measurement of soft tissue characteristics. In particular, navigation-based measures of varus and valgus stress angles have been used to define of the extent of soft-tissue release required at the time of the placement of the prosthesis. However, the extent to which such navigation-derived stress angles reflect the restraining properties of the collateral ligaments of the knee remain unknown. The aim of this cadaveric study was to investigate correlations between the structural properties of the collateral ligaments of the knee and stress angles measured with an optically-based navigation system.

Nine fresh-frozen cadaveric knees (age 81 ± 11 years) were resected 10-cm proximal and distal to the knee joint and dissected to leave the menisci, cruciate ligaments, posterior joint capsule and collateral ligaments. The resected femoral and tibial were rigidly secured within a test system which replicated the lower limb and permitted kinematic registration of the knee using the standard workflow of a commercially available image free navigation system. Frontal plane knee alignment and varus-valgus stress angles in extension were acquired. The manual force required to produce varus-valgus stress angles during clinical testing was quantified with a dynamometer attached to the distal tibial segment. Following assessment of knee laxity, bone–ligament–bone specimens were prepared and mounted within a uniaxial materials testing machine. Following 10 preconditioning cycles specimens were extended to failure. Force and crosshead displacement were used to calculate principal structural properties of the ligaments including ultimate tensile strength and stiffness as well as the instantaneous stiffness at loads corresponding to those applied during varus-valgus stress testing. Differences in the structural properties of the collateral ligaments and the varus and valgus laxity of the knee were evaluated using paired t tests, while potential relationships were investigated with scatter plots and Pearson’s product moment correlations.

There was no significant difference in the mean varus (4.3 ± 0.6°) and valgus laxity measured (4.3 ± 2.1°) for the nine knees or the corresponding distal force application required during stress testing (9.9 ± 2.5N and 11.1 ± 4.2N, respectively). Six of the nine knees had a larger varus stress angle compared to the valgus angle. There was no significant difference in the stiffness of the medial (63 ± 15 N/mm) and lateral (57 ± 13 N/mm) collateral ligaments during failure testing. The medial ligament, however, was approximately two fold stronger than its lateral counterpart (780 ± 214N verse 376 ± 104N, p< 0.001). While the laxity measures of the knee were independent of the ultimate tensile strength and stiffness of the collateral ligaments, there was a significant correlation between the force applied during stress testing and the instantaneous stiffness of the medial (r = 0.91, p = 0.001) and lateral (r = 0.68, p = 0.04) collateral ligaments.

The findings of the current study suggest that computer-assisted measures of passive knee laxity are largely independent of the ultimate strength and stiffness of the collateral ligaments. The force applied during manual stress testing of the knee, however, was strongly correlated with the instantaneous stiffness of the collateral ligaments suggesting users may attend to the low-stress behaviour of the ligaments. Nonetheless the force applied during stress testing varied between knees, as did the resultant angular deviation. Therefore to make use of the quantified data given by navigation systems, further work to understand the relationships between applied force, resultant stress angles and clinical outcomes for knee arthroplasty is required.

Computer-assisted technology has provided surgeons with intra-operative quantitative measurement tools that have led to the development of soft-tissue balancing algorithms based on surgeon-applied varus-valgus stress. Unfortunately these forces tend not to be standardised and the resultant algorithms may at best be surgeon-specific. Furthermore, these techniques are only available intra-operatively and rely on the rigid fixation of trackers to bone. The aim of this study was to develop a non-invasive computer-assisted measurement technique and assess the variation in collateral knee laxity measurements between different clinicians.

An image-free navigation system was adapted for non-invasive use by developing external mountings for active infrared trackers. A leg model with rigid tracker mountings was designed and manufactured for comparison. Multiple kinematic registrations of alignment were made for both the model and the right leg of a volunteer to quantify the soft tissue artefacts. Repeatability of the system was assessed by performing two registration processes on eight volunteers. Collateral knee laxity was assessed on a single volunteer by 16 participants of varying experience each applying a maximum varus and valgus knee stress. Two surgeons performed repeated examinations to assess intra-observer variation.

For repeated registrations of alignment, the SD of the non-invasive mounting (0.8°) was only a third higher than the leg model (0.6°) and the actual range was only 1° larger. The repeated alignment measurements on the volunteers showed a high level of agreement with an intraclass correlation coefficient of 0.93. Varus-valgus stress values showed poor inter-observer variation with a wide range of angles for both varus (1° to 7°) and valgus stress (0.5° to 5°). A Mann-Whitney test between the two sets of repeated tests showed that both varus stress and overall laxity were significantly different (p< 0.0001) but that valgus stress was marginal (p=0.052). Intra-observer measurements overall appeared more consistent.

Soft tissue artefacts did not significantly reduce the repeatability of the assessment of coronal knee alignment using a navigation system and this provided a non-invasive technique for assessing coronal knee laxity. The perception of an ‘end-point’ varied significantly between different clinicians and although there may be a role for surgeon-specific algorithms, to use this quantitative data more widely there is a need to standardise the forces and moments applied.

Recent studies suggest the use of computer navigation during TKA can reduce intraoperative blood loss. The purpose of this study was to assess if navigation affected blood loss after TKA in the morbidly obese patient (BMI> 40).

Total body blood loss was calculated from body weight, height and haemotocrit change, using a model which accurately assess true blood loss.

The computer navigated group comprised of 60 patients, 30 with BMI > 40 and 30 with BMI< 30. The matched conventional knee arthroplasty group consisted of 62 consecutive patients, 31 with BMI> 40 and 31 with BMI< 30 The groups were matched for age, gender, diagnosis and operative technique.

Following TKA, the mean total loss was 1014mls (521-1942, SD 312) in the computer assisted group and 1287mls (687-2356, SD 330) in the conventional group. This difference was statistically different (p< 0.001). The mean calculated loss of haemoglobin was 19 g/dl in the navigated group versus 25 g/dl in the conventional group; this was also significant at p< 0.01. The mean total loss was 1105mls in patients with a BMI> 40 in the navigated group compared to 1300mls in the conventional group (p< 0.01). A significant correlation was found between total blood loss and BMI (r=0.2, p< 0.05).

This study confirms a highly significant reduction in total body blood loss and calculated Hb loss between computer assisted and conventional TKA in obese patients. Therefore navigation-assisted TKA could present an effective and safe method for reducing blood loss and preventing blood transfusion in obese patients undergoing TKA.

Introduction: The knee joint replacement arthroplasty is a very successful procedure. Traditionally we aim to perform the arthroplasty and recreate the patients’ biomechanical axis and correct the coronal plain alignment deformity. Unfortunately till recently there was no fine way of controlling the exact alignment and depending on surgeon to surgeon, a valgus (to anatomical axis) of 3 to 7 degrees is aimed for using mechanical intra or extramedullary jigs. On proper measurements only 70–80% of knees achieve the aimed result at best as can be seen in the literature. With the advent of computer aided navigation we can now achieve the desired alignment in a much higher percentage of patients.

Material: We performed 1000 total knee arthroplasties at our hospital. Out of these 500 were performed using computer navigation and 500 using conventional mechanical jigs. Pre op and post op long leg alignment films were taken using standardised method. The data was collected using oxford scores and from computer navigation machines and plain radiographic analysis. The observers doing the radiographic analysis were blinded as to whether the patient had procedure done by conventional means or by computer navigation. Sub grouping of the deformities was done depending on the amount of deformity.

Results: 500 patients had the operation done by conventional means and the other 500 with computer navigation guidance. Further subgroups were made depending on the amount of pre-existing radiological deformity 0–5, 6–10, 11–15 and more than 15 degrees of varus or valgus deformity. The effect of gender, bmi, surgeon experience, clinical oxford score outcome was also considered. It was clear that the patients who had more severe deformities and valgus deformities had better post operative alignments after the procedure was performed with computer navigation as compared with the conventional means. There was statistically significant difference observed between the subgroups.

Discussion: Orthopaedic surgery has improved with technical advancements over the number of years. With any new procedure it takes a long time to shed the old beliefs and adapt the new concepts. While we have plenty of evidence in literature and from our study that computer navigation can give better desired alignment after total knee arthroplasty especially with more severe deformities, it still needs to be taken up by majority of orthopaedic surgeons. Ours is the first study to demonstrate the difference in the specific subgroups.

Computer navigated total knee arthroplasty (TKA) has several proposed benefits including reduced post operative blood loss. We compared the total blood volume loss in a cohort of morbidly obese (BMI> 40) patients undergoing computer navigated (n=30) or standard intramedullary techniques (n=30) with a cohort of matched patients with a BMI< 30 also undergoing navigated (n=31) or standard TKA (n=31). Total body blood loss was calculated from body weight, height and haemotocrit change, using a model which accurately assesses true blood loss as was maximum allowable blood loss. The groups were matched for age, gender, diagnosis and operative technique.

The mean true blood volume loss was significantly (p< 0.001) less in the computer assisted group (1014±312mls) compared to the conventional group (1287±330mls). Patients with a BMI > 40 and a computer navigated procedure (1105 ±321mls) had a significantly lower (p< 0.001) blood volume loss compared to those who underwent a conventional TKA (1399±330mls). There was no significant difference in the transfusion rate or those reaching the maximum allowable blood loss between groups.

This study confirms a significant reduction in total body blood loss between computer assisted and conventional TKA in morbidly obese patients. However computer navigation did not affect the transfusion rate or those reaching the transfusion trigger in the morbidly obese group. Therefore computer navigation may reduce blood loss in the morbidly obese patient but this may not be clinically relevant to transfusion requirements as previously suggested.

The influence of BMI on outcomes from TKA remains unclear. The purpose of this study was to evaluate if navigation affected the outcomes of TKA in obese patients.

Sixty-four (mean age 65 yrs±7) consecutive computer navigated TKA’s were compared with a matched group of 64 (65yrs±8) conventional TKA’s in patients with a BMI > 35. The groups were matched for age, gender, diagnosis and operative technique. Patients were reviewed pre-operatively and 6 weeks and 1 year post-operatively. All patients had clinical and radiological assessment and were scored using the Oxford knee score.

There were significant improvements (p< 0.001) in all clinical outcomes at 6 weeks and 1 year post-operatively in both groups. No significant differences were found between groups 6 weeks post surgery. The computer navigated group performed significantly better in post operative knee flexion (Nav 99° ± 10, Conv 94° ±12, p< 0.05) and Oxford scores (Nav 20 ± 10, Conv 25±12, p< 0.01) at 1 year compared to the conventional group. There were significantly (p< 0.05) more flexion contractures one year post-operatively in the conventional group which correlated significantly (p< 0.001) with decreased maximal knee flexion at one year.

This study suggests that navigated TKA produces better early clinical outcomes than conventional TKA in the obese patients possibly due to improved sagittal alignment as evidenced by the lack of flexion contractures 1 year post-operatively.

Flexion contracture is a common deformity encountered in patients requiring total knee replacements (TKR). Both the soft tissue envelope and articular bones are involved in the knee extension lag. A few studies in the past have assessed the relationship between bone cuts and extension deficit by using goniometers and rulers. Using navigation for TKR enables the accurate measurement of knee flexion contracture and bone cuts. The aim of this study was to try to establish a relationship between extension lag correction and the size of bone cuts made.

104 continuous TKR were completed by a single consultant using the OrthoPilot^® (BBraun, Aesculap) navigation system and Columbus implants. 74 knees had preoperative flexion contracture (including neutral knees) while 30 were in hyperextension. Data was recorded prospectively using the navigation system. These included preoperative flexion and extension angles, actual bone cuts of tibia and femur (both medial and lateral), postoperative correction of flexion and extension angle, size of the prosthesis with thickness of polyethylene and soft tissue release. Of the 74 knees with fixed flexion, 57 had no release and 13 had a posterior release (4 had an intermediate release and were excluded from the study).

For knees with fixed flexion (n=70) there was a significant statistical difference between the pre and post implant extension angle (p < < 0.0001). There was no correlation between the thickness of bone cuts and postoperative extension lag either for the group with no release (p=0.495) or posterior release (p=0.516). There was also no correlation between bone cuts and preoperative angles for either type of release (p=0.348 and p=0.262). There was a significant difference between the preoperative extension deformity for the two soft tissue releases performed (p=0.00019), the mean fixed flexion angles being −4.4° and −10.4° for no release and posterior release respectively.

Flexion contracture deformity in TKR can theoretically be solved in two ways: either by extensively releasing the soft tissue or by increasing the extension gap by cutting more bone (logically the distal femur). Appropriate soft tissue management and release in TKR is crucial in balancing the prosthesis in the coronal as well as the lateral plane. This study seems to confirm the supremacy of soft tissue management and release over bone cut resection. Cutting more or less bone could in fact lead to a poorer outcome as this will change the joint line level without having any additional beneficial effect in correcting the flexion contracture. Conversely adequate soft tissue release has corrected the flexion contracture when needed. In conclusion, there was no correlation between bone cut resection and extension lag correction and with large extension deficits, a posterior soft tissue release and osteophytes resection was more important than bone cuts.

Short leg radiographs remain the standard radiographs available in many UK hospitals. The aim of this study was to see if these radiographs are reliable when assessing the post-operative alignment of total knee arthroplasty in comparison to a Hip-Knee-Ankle (long leg) radiograph.

Twenty consecutive 6 week post-operative long leg radiographs, taken with a standardised protocol, and a short leg radiograph derived from the same digital image were each examined on two separate occasions by two observers. On the long leg radiograph the anatomical and mechanical axis were calculated and on the short leg radiograph the anatomical and surrogate mechanical axis were calculated. These data were used to investigate intra- and inter-observer error. A single observer also collected the same measurements on an additional 30 radiographs (total of 50) to further investigate any patterns of error.

On long leg radiographs, intra-observer agreement was good for both anatomical and mechanical axis for both observers (Intraclass Correlation Coefficients [ICC] of 0.95 to 0.98). The anatomical axis on short leg radiographs was also good (ICC = 0.92 and 0.76). Intra-observer agreement for the short leg radiograph derived mechanical axis was not as consistent (ICC = 0.73 and 0.56). Inter-observer variability was good for long leg radiographs for both anatomical (ICC = 0.89) and mechanical (ICC = 0.95) axis. On short leg radiographs, however, agreement was not as good, in particular for the mechanical axis (ICC = 0.51), but also the anatomical (ICC = 0.73). Taking the long leg radiograph values as the “gold standard” there was a difference in the magnitude of errors seen on short leg radiographs dependant on the knee alignment. Varus aligned knees (n=24) had an average error of 1.2° (0° to 3°) for the anatomical axis and 1.6° (0° to 4°) for the mechanical axis. Perfectly aligned knees (n=8) had an average error of 3.0° (1° to 6°) for the anatomical axis and 2.9° (1° to 5°) for the mechanical axis. Valgus aligned knees (n=18) had an average error of 3.4° (0° to 8°) for the anatomical axis and 5.8° (2° to11°) for the mechanical axis. Using a Mann-Whitney test the magnitude of error was greater for valgus knees for both anatomical (p< 0.0001) and mechanical (p< 0.00001) axes when compare to varus knees. Interestingly all except one knee measured on the long leg radiograph as valgus aligned appeared to be in varus on the short leg radiograph.

In conclusion, short leg radiographs are inadequate to make any comment on leg alignment in total knee arthroplasty. This is most pronounced in a valgus aligned knee.

The role of CAOS systems is now well established in several areas of orthopaedic surgery. The increasing use of these systems, particularly in knee arthroplasty, has been supported by clinical trials that demonstrate a more accurate final position of implanted devices compared with conventional instrumentation. CAOS technology is constantly evolving along with its expanding list of potential indications. This requires the adaptation of both software and hardware components. It is therefore essential that potential users have confidence in the accuracy of these systems. The aim of this project was to design and manufacture a standardised measurement object (phantom) to independently evaluate CAOS system performance.

The American Society for Testing and Materials (ASTM) International along with CAOS International recently drafted a standard for measuring technical accuracy of navigation systems. This proposed standard was obtained and its recommendations used to design a phantom model. This consisted of a 150×150×20mm base plate and two additional levels including a single 30° slope. This created a 3D surface on which points could be placed. Co-ordinates for 21 points were given to establish the x, y and z axes of a Cartesian system and then to have points at a variety of known locations in this 3D space. The final model was machined from a billet of marine grade aluminium alloy 6082-T6 (chosen for its dimensional stability) using a vertical computer numerical controlled (CNC) milling machine with the co-ordinate points drilled with a Ø0.8mm 60° BSO centre drill to a depth of 1.2mm. The drill holes, with chamfers of Ø1.0mm, were designed to accommodate a ball-nosed pointer tip of a known diameter. A Perspex base unit with three different sites of rigid tracker attachment was made to hold the phantom and provide its reference frame. This avoided the need to directly modify the phantom itself.

The final design has been used to measure the positional accuracy of a novel portable navigation system and demonstrate that it is not yet suitable for clinical evaluation due to errors of 1 – 6 mm in point location. It has also allowed independent technical validation of current pre-existing navigation systems.

Flexion contracture in total knee arthroplasty (TKA) remains a challenge. Soft tissue management and additional bone resection are traditional options for flexion contracture correction. Our hypothesis was that the post implant computer aided measurements would not be significantly different to the extension angles measured at six weeks post-operatively in the follow-up clinic.

One hundred continuous TKA were performed by a single consultant using the OrthoPilot^® (BBraun, Aesculap) navigation system and Columbus implants. Of the group, 45 were male and 55 were female. Average age was 68 (range 49–87), mean BMI was 32.86 (22.26–51.86) and mean Oxford score preoperatively was 42 (range 21–56) and post-operatively 28 (range15–50). Data recorded at the preoperative assessment clinic included clinical flexion contracture and Oxford scores. Intra-operatively data were recorded using the navigation system. These included pre-operative flexion and extension angles, actual bone cuts of tibia and femur (both medial and lateral), postoperative correction of flexion and extension angles and soft tissue releases. At six weeks post operation, patients were seen in the follow clinic and clinical flexion contracture and Oxford score reassessed by the Arthroplasty outcome service.

Measurements were grouped and comparisons were made using a Pearson Chi-square test. There was no relationship between post-implant extension angle measurements (by computer) and extension angles at six weeks (by goniometer) (p=0.682). Also, there was no relationship between pre-operative measurement angles collected at the pre-assessment (by goniometer) and the pre-implant angles measured on the table (by computer) (p=0.682). We found that BMI (up to 35) and postoperative Oxford scores were significantly related to the extension levels with values of (p=0.008) and (p=0.027) respectively. Pre-operative Oxford scores, pre-operative extension, amount of bony resection and soft-tissue releases did not show any significant relationship with the post-operative extension obtained at six weeks.

The conclusions that we draw from this study are that there might be other factors that are likely to influence extension lag between the operation and the follow-up at six weeks. One of the factors that we could identify was the BMI. Attention to extensor lag is important because it leads to a poorer knee function, as indicated by the Oxford scores. Despite most of the post-implant measurement angles showing no extensor lag, about 20% of our patients still had more than five degrees flexion contracture at six weeks.