Influence of navigation system updates on total knee arthroplasty
© Inui et al.; licensee BioMed Central Ltd. 2013
Received: 31 August 2012
Accepted: 12 April 2013
Published: 2 May 2013
The purpose of this study was to evaluate the influence of image-free computer-assisted navigation system update on outcome in total knee arthroplasty.
Thirty-three knees were replaced using the Stryker 3.1 image-free navigation system and 49 knees were replaced using the Stryker 4.0 system. One surgeon took part in all procedures as chief surgeon or first assistant. All patients received the Stryker Scopio NRG CR total knee prosthesis. We compared the accuracy of component positioning measured using radiographs and CT scans, operating time and clinical outcome 1 year after surgery.
The mean hip-knee-ankle, frontal femoral and tibial component angle were 179.8° (ideally implanted 85%), 89.8° (88%), 90.4° (88%) respectively for the 3.1 group and 179.5° (96%), 90.6° (92%), 90.2° (94%) for the 4.0 group. The mean sagittal tibial component angle was 85.5° (82%) for the 3.1 group and 85.6° (92%) for the 4.0 group. The mean rotational femoral and tibial component angle were −0.5° (81%), −0.7° (73%) for the 3.1 group and 0.0° (84%), 0.4° (72%) for the 4.0 group. There were no statistically significant findings with regard to component positioning.
Operating time was significantly longer in the 3.1 group (3.1 group: 137 min, 4.1group: 125 min, P < 0.01).
No significant difference was detected in postoperative clinical outcome.
The navigation system update from Stryker 3.1 to Stryker 4.0 reduced operating time by 12 min. However, there were no statistically significant findings with regard to component positioning and clinical outcome.
KeywordsImage-free navigation Navigation system update Total knee arthroplasty Component positioning Operating time Clinical outcome
Total knee arthroplasty (TKA) has become one of the most successful surgical procedures in orthopedic surgery [1, 2]. The success of this procedure depends on many factors, including surgical techniques and the design and material of the components. With regard to surgical techniques, implant positioning and soft tissue balancing are very important. Malpositioning of any component can lead to an increased risk of loosening, instability, and pain [3, 4]. Restoration of the tibiofemoral angle to within 3° of neutral during TKA is thought to be associated with better outcome [4–7]. The accurate rotational alignment of femoral and tibial components is also considered important [3, 8, 9].
Computer-assisted navigation systems are designed to increase the accuracy of implantation, and have become much more accepted and prevalent in recent years. Several studies, including a meta-analysis study have demonstrated superior alignment of the components in the coronal plane in navigated compared with conventional implanted TKA, with fewer outliers outside a range of 3° varus or valgus [7, 10, 11]. Some studies have noted an improvement in the accuracy of rotational alignment using navigation systems [12, 13]. However, it is still not clear whether navigation can improve rotational alignment consistently [14, 15].
Recently, several software and adapted instrument advancements have been made to further improve the accuracy of total knee component positioning. One recent study demonstrated that advancements in navigation software improved the accuracy of overall mechanical alignment and several individual component positioning variables; however rotational alignment was not evaluated in that study . Although consistent and accurate rotational positioning is desirable, it remains to be elucidated whether currently available navigation software improves rotational accuracy of placement of components.
Version 2.0 of the Stryker image-free navigation system was first implemented in our institute in January 2007. It was updated to version 3.1 in July 2007 and version 4.0 in January 2009. Molli et al.  demonstrated several advancements of the 3.1 system over the 2.0 system, which led to more accurate implant positioning. Several advancements of the 4.0 system have also been noted. Therefore, we hypothesized that this recent navigation system update would improve alignment in TKA and reduce operating time. We evaluated several outcome measurements including overall alignment, individual component positioning, knee score, range of motion, and operating time.
This study was approved by the institutional review boards of the University of Tokyo (No.2674). All patients provided written informed consent.
Pre-operative demographic data
Version 3.1 group
Version 4.0 group
Number of patients
75.0 ± 5.0
75.5 ± 5.1
37.9 ± 10.5
36.4 ± 10.1
Maximum extension (°)
−9.8 ± 7.2
−11.8 ± 7.1
Maximum flexion (°)
120.1 ± 16.4
119.2 ± 15.7
Body mass index (kg/m2)
26.2 ± 3.7
26.1 ± 4.1
Pre-operative FTA (°)
185.8 ± 6.9
186.1 ± 9.6
The Stryker Navigation System was used for computer-assisted implantation. The system was image-free and used infrared cameras and light-emitting diodes.
Surgery was performed under a tourniquet. A midvastus approach was used for the varus and neutral knee and a medial parapatellar approach was used for the valgus knee. Bicortical tracker pins were placed into the femoral shaft at the proximal end of the skin incision and the tibial shaft at the distal end of the skin incision. Anatomical landmarks were registered either by the pointer, the validation of which is successful if the deviation between the pointer tip position and the calibration data is 2 mm, or by the calculations of the navigation system to proceed with bone resections and implant positioning. Landmarks comprised the center of the femoral head, the distal femur, the proximal tibia and the ankle, the Whiteside line, the epicondylar axis (lateral epicondyle, medial sulcus), anterior surface of the distal femur cortex, the condylar surfaces of the femur and tibia, and the tibia AP axis.
The center of the femoral head was determined by rotating the femur by rotational calculations. The center of the ankle was represented by a 44%–56% medial to lateral ratio along the transmalleolar axis.
Femoral alignment was aimed at a placement of 90° to the mechanical axis in the frontal plane. In the sagittal plane, anterior notching was avoided by changing the flexion angle and implant size. The femoral rotation axis was defined as the average rotation axis of the transepicondylar axis and the axis perpendicular to the Whiteside line.
For the tibia, alignment was aimed at 90° to the mechanical axis in the frontal plane and 5° of posterior slope in the sagittal plane. The AP axis was aimed along the line from the medial border of the tibia tubercle to the middle of the posterior cruciate ligament . To avoid registration error, we drew the line in blue beforehand.
During femoral and tibial resection, the femur was prepared first. Care was taken to balance the flexion and extension gaps and release any flexion contracture. The patella was everted and resurfaced in all patients. All patients underwent the same postoperative rehabilitation protocol.
One surgeon (TN) took part in all procedures as chief surgeon or first assistant. All implants used in both groups were Stryker Scopio NRG CR total knee implants. Identical cutting blocks and instrumentation devices were used for all procedures.
Evaluation of post-operative alignment
All radiographs and CT scans were measured twice at 3-month intervals by one observer (HI), who was not part of the operating team and who had no knowledge of the patients.
Operating time was collected from records of intraoperative information. Postoperative KSSs and range of motion were recorded 1 year after surgery.
Data were analyzed using the EXCEL statistics 2008 (SSRI Co., LTD., Tokyo, Japan) software package for Microsoft Windows. Data were checked for normality of distribution using the Kolmogorov–Smirnov test. For normally distributed data Student’s t-test was used to compare the two groups. For data not normally distributed, the Mann–Whitney U-test was applied. Fisher’s exact probability test was used to compare the rate of optimally implanted components between the two groups. All significance tests were two-tailed, and a significance level of P < 0.05 was used for all tests.
Postoperative component alignment
(A) Mean degrees of individual component alignment ( ± SD)
Version 3.1 group
Version 4.0 group
179.8 ± 2.6
179.5 ± 1.7
90.2 ± 1.6
90.6 ± 1.3
89.5 ± 1.8
90.2 ± 1.3
85.5 ± 2.4
85.6 ± 1.6
5.8 ± 2.8
6.7 ± 3.1
−0.5 ± 2.3
0.2 ± 2.2
−0.2 ± 3.4
1.1 ± 3.4
(B) Ideal implantations
The mean RFC angle was −0.5° ± 2.3° (4° of external rotation to 5° of internal rotation) for the 3.1 group and 0.0° ± 2.1° (4° of external rotation to 5° of internal rotation) for the 4.0 group. Ideal rotational femoral angle was obtained in 80.7% (21 of 26knees) in the 3.1 group and 84.0% (21 of 25 knees) in the 4.0 group. The mean RTC angle was −0.7° ± 3.1° (7° of external rotation to 7° of internal rotation) in the 3.1 group and 0.4° ± 3.3° (7° of external rotation to 5° of internal rotation) in the 4.0 group. Ideal rotational tibial angle was obtained in 73.1% (19 of 26knees) in the 3.1 group and in 72.0% (18 of 25 knees) in the 4.0 group (Table 2). No statistically significant improvement with regard to the rotational alignment was observed. Intra-observer differences were as follows: HKA 0.2° ± 0.4°, FFC 0.2° ± 0.4°, FTC 0.2° ± 0.4°, LFC 0.5° ± 1.0°, LTC 0.4° ± 0.6°, RFC 0.4° ± 0.5° and RTC 0.7° ± 0.7°.
Mean post-operative KSS was 90.1 (range: 72–99) for the 3.1 group and 91.1 (72–100) for the 4.0 group. Mean post-operative functional score was 78.8 (40–100) for the 3.1 group and 77.9 (30–100) for the 4.0 group. No significant difference was detected in these values between the two groups.
Range of motion did not differ between the groups 1 year after surgery.
Intra- and post-operative observations
3.1 group (N = 33)
4.0 group (N = 49)
Operating time (min)
136.9 ± 22.4
124.9 ± 22.1
Post-operative (1 year)
90.1 ± 6.4
91.1 ± 6.2
Maximum extension (°)
−1.4 ± 3.2
−2.0 ± 3.4
Maximum flexion (°)
113.1 ± 11.8
116.6 ± 10.4
In previous studies, increased rates of early aseptic loosening of TKA were in large part attributed to malalignment of the mechanical axis [4, 21]. The tolerable range of mechanical axis deviation after TKA is still under discussion . However, several authors report superior long-term survivorship of TKA with a leg mechanical axis within 3° of the ideal angle [4, 21].
In the current study, implants were placed within ± 3° of the desired angle in 96% of the 4.0 group. There have been many publications on computer navigation assisted TKA and its accuracy in terms of the mechanical axis. Our results regarding the accuracy of the mechanical axis using the most recent navigation system (4.0) seemed comparable or superior to those of other studies [11, 23]. Molli et al.  showed that an earlier navigation system update (from Stryker 2.0 to Stryker 3.1) improved the accuracy of TKA. Several software advancements occurred between Stryker 2.0 and Stryker 3.0 such as a different algorithm for calculating the center of the ankle joint and the addition of “reactive workflow” software. However, our study represented the 4.0 group did not show a statistically significant advantage over the 3.1 group with regard to alignment. This may be quite natural because of the same algorithm for calculation, the same “work flow” software, and the same landmarks to determine the mechanical axis.
With regard to accuracy of the rotational alignment, few studies have demonstrated an improvement with computer-assisted navigation compared with conventional methods [12, 13, 24]. For femoral rotation, many authors have reported variability in the identification of the transepicondylar axis [25, 26]. Yau et al.  found that the maximum combined error was 8.2° with 5.3° at the medial femoral epicondyle and 2.9° at the lateral in the transepicondylar axis. Some authors have speculated that this variability is caused by soft tissue coverage [27, 28]. However, in a cadaveric study, Siston et al.  demonstrated high variability even after all soft tissues had been stripped. Mizu-uchi et al.  demonstrated that 89.3% of femoral components were implanted within 3° of ideal rotational alignment in the CT navigation group, whereas 66.7% were implanted ideally in the conventional group. They concluded the CT-based navigation system significantly improved the accuracy of femoral rotational alignment. In the current study 82.3% of femoral components [42 of 51 knees, version 3.1: 80.8% (21/26), version 4.0: 84.0% (21/25)] were implanted ideally. Although no comparison was made with a conventional group in our study, this result is superior to those mentioned in previous studies using conventional techniques [12, 15]. Stock et al.  noted improvement using a navigation system that established femoral rotational alignment by averaging the angles determined by Whiteside’s line and the transepicondylar axis. The femoral implant was ideally located in over 80% of cases in the current study, possibly because the navigation system used here determines the femoral axis in the same manner. We observed no significant improvement using the system update (from Stryker 3.0 to 4.1).
For tibial rotation, it is much more difficult to define the AP axis, which is the line from the medial border of the tibial tuberosity to the center of the posterior cruciate ligament. In addition, there is no consensus on how to measure rotational alignment of the tibial component. Aiming for the posterior cruciate ligament during surgery is relatively easy, but this structure is difficult to determine on CT scans after implantation. Therefore, we used a line from the medial border of the tibial tuberosity to the center of the posterior concavity of the tibial tray as a reference for rotational alignment. In Mizu-uchi et al. , 78.6% of the tibial components were implanted within 3° of the ideal rotational alignment in the CT navigation group, whereas 46.2% of the tibial components were implanted ideally in the conventional group. The CT-based navigation system improved the accuracy of tibial rotational alignment significantly in that study. In this study, 72.5% of the tibial components [37 in 51 knees, version 3.1: 73.1% (19/26), version 4.0: 72.0% (18/25)] were implanted ideally, which is comparable to previous reports [7, 12, 30]. However, as is often reported in previous studies, the accuracy of the tibial rotational alignment is inferior to that of the frontal, sagittal and femoral rotational alignments [12, 30].
The accuracy of the rotational alignment the CT-based navigation reached is ideally enough for us to urge to use it. However, taking the demerits of the additional cost and radiation dose associated with CT into consideration, what we have to do is to improve the accuracy using CT-free navigation system. To achieve more accurate rotational alignment, not only further refinements in navigation technology but also more careful and precise registration will be necessary. Additional reference lines such as a posterior condylar line and a trochlear line may reduce the registration error and improve femoral rotational accuracy [29, 31]. Improvements in rotational accuracy may lead to a better postoperative outcome .
The navigation system update from Stryker 3.1 to Stryker 4.0 reduced operating time by 12 min. Advancements in navigation software and specific adapted instruments may account for this improvement. One of the disadvantages of using navigation systems in TKA is said to be the increased operating time. In previous studies, time for computer-assisted surgical procedures increased by 8–16 min [16, 23, 33, 34]. Navigation system update may have overcome this problem to some extent.
There were some limitations to the current study. One limitation is that surgery in the two groups was performed at different time periods. Some studies have showed that the learning curve affects operating time and alignment in navigated surgery, especially in early cases. Twenty to thirty implantations were said to be necessary before surgeons were accustomed to the navigation system and the average operating time reached a plateau [35, 36]. At our institute, 30 implantations using the image-free navigation system (Stryker 2.0 and 3.1) had been performed by the end of November 2007. Therefore, we think our result would not have been affected by the learning curve. Another limitation is the relatively small number of patients. For instance, with regard to HKA angle, 85% were implanted ideally in the 3.1 group, whereas 96% were implanted ideally in the 4.0 group. Indeed there was not a statistically significant improvement (P =0.11). However, we think there was at least a tendency of improvement and further study may change our conclusion.
In conclusion, the navigation system update from Stryker 3.1 to Stryker 4.0 reduced operating time by 12 min. However, there were no statistically significant findings with regard to component positioning and clinical outcome.
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