Patient-Specific CT-Based Instrumentation versus Conventional Instrumentation in Total Knee Arthroplasty: A Prospective Randomized Controlled Study on Clinical Outcomes and In-Hospital Data
Total knee arthroplasty (TKA) is a frequently performed procedure in orthopaedic surgery. Recently, patient-specific instrumentation was introduced to facilitate correct positioning of implants. The aim of this study was to compare the early clinical results of TKA performed with patient-specific CT-based instrumentation and conventional technique. A prospective, randomized controlled trial on 112 patients was performed between January 2011 and December 2011. A group of 112 patients who met the inclusion and exclusion criteria were enrolled in this study and randomly assigned to an experimental or control group. The experimental group comprised 52 patients who received the Signature CT-based implant positioning system, and the control group consisted of 60 patients with conventional instrumentation. Clinical outcomes were evaluated with the KSS scale, WOMAC scale, and VAS scales to assess knee pain severity and patient satisfaction with the surgery. Specified in-hospital data were recorded. Patients were followed up for 12 months. At one year after surgery, there were no statistically significant differences between groups with respect to clinical outcomes and in-hospital data, including operative time, blood loss, hospital length of stay, intraoperative observations, and postoperative complications. Further high-quality investigations of various patient-specific systems and longer follow-up may be helpful in assessing their utility for TKA.
Total knee arthroplasty (TKA) is a widely recognized method of treatment for advanced osteoarthritis of the knee joint. It has proven to be efficient for eliminating progressive pain and restoring normal function of the operated joint. In most cases, TKA allows the patients to return to normal life activities and improves their quality of life significantly [1, 2].
Many studies aimed at increasing the accuracy of knee implant positioning and implant life expectancy have been recently conducted. The number of different types of prostheses on the market keeps growing, with increasingly newer tool sets designed to facilitate correct implantation. One particular modern solution for TKA involves systems where intraoperative navigation is based on single-use guides fashioned specifically for the patient. The main idea behind patient-specific instrumentation (PSI) is that TKA procedures can be individualized, with benefits including precise realignment of the normal mechanical axis of the operated lower limb, minimized resection of bone, reduced surgical times, simplified instrumentation, reduced peri- and postoperative blood loss, no femoral medullary cavity reaming, and reduced rate of thromboembolic complications [3–8].
As shown previously by other authors, improved accuracy in prosthetic alignment correlates with enhanced knee function and patient quality of life. According to Victor et al. , coronal plane outliers may lead to inferior functional outcomes, earlier loosening, and polyethylene wear [10–14]. Internal rotation of the femoral component is associated with pain, stiffness, and instability [15–20], whereas excessive external rotation of the femoral component can lead to symptomatic flexion instability, increased shear forces on the patella, and medial compartment overload in flexion [21–23]. Finally, excessive tibial slope in the sagittal plane leads to postimpingement and flexion instability in posterior stabilized designs .
To date, the number of papers addressing the clinical of PSI is very limited. Thus, the goals of this study were to assess and compare CT-based PSI to conventional TKA technique with regard to early clinical results and perioperative outcomes. Intraoperative observations, including changes from the planned implant to the definitively implanted component size, were also evaluated.
2. Material and Methods
A prospective, randomized controlled trial (RCT) was conducted at a single institution from January 2011 to December 2011. There were 173 patients evaluated for the study, and 112 consecutive patients scheduled to undergo TKA were included in the study. 17 patients were excluded for the reasons listed below. The study was performed in accordance with its study protocol, which was approved by the ethical review board. Informed consent was provided by all patients. A flowchart of the study is shown in Figure 1.
Inclusion/exclusion criteria are as follows.
Inclusion criteria: consider the following:(i)primary end-stage knee osteoarthritis,(ii)primary, uncemented TKA,(iii)implant: Vanguard (Biomet), cruciate retaining,(iv)age > 18 years old,(v)provision of written informed consent.
Exclusion criteria: consider the following:(i)nonosteoarthritic conditions as reason for operation (e.g., rheumatoid arthritis),(ii)comorbidities that might affect bone quality (e.g., osteoporosis),(iii)a history of previous surgery or trauma to the affected knee within 12 months preceding the study,(iv)cognitive disorders resulting in suboptimal cooperation of the patient,(v)bilateral TKA,(vi)failure of the patient to present for a follow-up examination,(vii)incomplete medical records.
The participants were divided into two groups using a simple randomization procedure. Group I consisted of 52 patients who underwent TKA performed with the usage of patient-specific CT-based instrumentation (Signature Personalized Patient Care System; Biomet Inc., Warsaw, IN, USA). Group II consisted of 60 patients operated with conventional instrumentation. In all cases, the same type of uncemented, cruciate-retaining prostheses was implanted (Vanguard Complete Knee System; Biomet Inc., Warsaw, IN, USA), without resurfacing of the patella. All operations were performed by a single senior surgeon. The study group consisted of 66 (69.4%) women and 29 (30.6%) men. The average age was 67.3 years old (range: 41–80). Patients over 60 years old comprised 87% of the study group. The mean body mass index (BMI) was 29.8 kg/m², with 47.3% obese patients (BMI > 30 kg/m²) and no underweight patients. There were no statistically significant differences in patient demographics, clinical condition, and radiographic data prior to surgery (Table 1).
The process by which the Signature instrumentation is produced and is used has been described precisely in our previous report  and studies of other authors [3–5, 25–27]. All patients from Group II were operated on with traditional, jig-based instrumentation; extramedullary instruments were used for the tibial component, and intramedullary method was used for the femoral side. All patients in both groups received prophylactic intravenous antibiotics, and a medial parapatellar arthrotomy with the use of a tourniquet was used until the prostheses were implanted. The sizes of components planned based on computer aided surgical planning were compared to the sizes of the actual components implanted. At the end of surgery, two Redon drains were inserted into the deep joint space and were then removed on the second postoperative day, and blood reinfusion systems were not used. The volume of blood collected in Redon drains during the first two postoperative days was recorded for each patient and the tourniquet time was defined as incision until implantation of the prosthesis with final evaluation of its position. Blood was transfused in the postoperative period in all patients with hemoglobin levels less than 8 g/dL. The number of blood transfusions, period of hospitalization, and complications were also recorded. Deep vein thrombosis prophylaxis was the same in both groups .
Postoperative management was identical for both groups. Rehabilitation commenced on the first postoperative day. At discharge, patients were able to perform at least 90° flexion of the knee and moved about efficiently using elbow crutches. Follow-up routinely took place at 6 weeks and 3, 6, and 12 months after surgery.
Clinical outcomes were evaluated with the Knee Society Score (KSS), 5-point Likert scale version of Western Ontario and McMaster Osteoarthritis Index (WOMAC) scale, Visual Analogue Scale (VAS) to assess knee pain severity, and VAS scale to assess patient satisfaction with the surgery. Knee range of motion and knee axis were measured with a goniometer. Patients were examined before surgery and at 12 months after implantation of the knee prosthesis.
Statistical analysis (comparisons of groups) was performed using Fisher’s exact test for qualitative variables and Mann-Whitney’s -test for quantitative variables (SAS, Inc., Chicago, Ill). Spearman’s rank correlation coefficient was calculated to compare the planned implant to the actual implant inserted. A value of was considered statistically significant.
One year after surgery, preoperative and postoperative clinical outcomes significantly improved in both groups (Table 2). The preoperative scores were similar between groups, and outcomes obtained 12 months after surgery did not reveal any statistically significant differences between the groups in any of the scales (Table 2). Of note, the KSS and WOMAC scores were slightly better in Group II (170.2 ± 22.2 and 16.3 ± 14.7, resp.), compared to Group I (156.6 ± 33.2 and 17.1 ± 15.3, resp.). Group I had slightly better VAS pain scores (17.0 ± 16.7), although the difference compared to Group II was not significantly different (19.3 ± 17.2, ). The overall mean VAS satisfaction score was 91.1 ± 11.3, and there was no significant difference between Group I (91.5 ± 11.1) and Group II (90.6 ± 11.4).
There were no differences in perioperative factors between groups. The mean tourniquet time was 34.0 ± 9.0 minutes in Group I (range: 20.0–72.0) and 28.5 ± 5.2 minutes in Group II (range: 21.0–52.0). The mean postoperative blood loss was 850 ± 450.5 mL in Group I and 1000 ± 502.1 mL in Group II. In the postoperative period, 6 patients (12.3%) from Group I required 1 unit of red blood cell (RBC) transfusion. In Group II, 5 patients (10.9%) required a RBC transfusion, of which 4 patients received 1 unit, and 1 patient required 3 units. The mean length of stay was 9.0 ± 3.8 days in Group I (range: 6–35) and 9.0 ± 1.5 days in Group II (range: 7–16). The longest period of hospitalization recorded in the study was 35 days, as a patient in Group I had a superficial postoperative wound infection and hospital-acquired pneumonia. There were no statistically significant differences between the groups in the duration of the surgery, postoperative blood loss, and length of hospitalization (Table 3).
No intraoperative complications were recorded. In Group I, there was one case of impaired wound healing from a superficial infection with suppurative discharge and marginal necrosis, and wound revision and debridement were performed on the tenth postoperative day. The patient was also diagnosed with hospital-acquired pneumonia in the second week following surgery. In Group II, two cases of postoperative intra-articular hematoma with significant swelling of the operated joint with delayed wound healing were recorded. Anticoagulation was held and these patients were treated nonoperatively.
Joint contracture requiring further arthroscopic treatment (lysis of adhesions) was diagnosed in one patient from Group I and two patients from Group II at one year after surgery. None of the patients analyzed in the study required revision arthroplasty procedures and no thromboembolic complications were recorded during 12 months following surgery.
No conversion to traditional instrumentation was reported in Group I. The sizes of the femoral component planned based on computer-aided preoperative planning were consistent with the sizes of the components that were implanted in 44/49 (89.8%) cases. The femoral component implanted was one size larger in one patient and one size smaller in four patients. The planned sizes of the implants and sizes of the tibial components implanted were consistent in 37/49 (75.5%) of patients. The implanted tibial component was one size larger in five cases and two sizes larger in one case. In six cases, the tibial component implanted was smaller by one size. The planned thickness of the polyethylene insert was 10 mm for all patients. Eight patients were implanted with a 12 mm polyethylene insert and two patients received 14 mm inserts. The planned size of the insert was consistent with the implanted insert in 39/49 (79.6%) of patients. The rate of consistency between the planned sizes of the component and the implanted sizes of the component was 0.99 () for the femoral component and 0.94 () for the tibial component. Femoral, tibial, and polyethylene insert sizes were similar in both groups (Table 3).
Treatment of osteoarthritis varies depending on how advanced the disease is and what are the symptoms. An effective method for evaluation of a treatment process should take patients’ outcomes into account and study parameters that are most important to patients. Thus, the purpose of our study was to evaluate the clinical outcome comparing PSI to conventional instrumentation, as eliminating pain and restoring correct knee function to allow patients to perform activities of daily living without assistance are the key goal of TKA from the patient’s point of view.
To our knowledge, there are only 3 studies designed to evaluate the clinical outcomes of PSI in literature. Abdel et al.  performed a RCT to assess whether MRI-based PSI improves patient-reported outcomes and gait parameters at 3 months after surgery. They found no difference between PSI and conventional instrumentation groups in terms of KSS, Knee Injury and Osteoarthritis Outcome Score (KOOS), SF-12, and 3D gait parameters. Woolson et al.  conducted an RCT comparing outcomes of patients treated with custom and traditional instrumentation and found that there were no significant differences between both groups with regard to KSS at six-month follow-up examination. Finally, Pietsch et al.  performed an RCT to evaluate blood loss and early clinical outcomes in 40 patients undergoing minimally invasive TKA using custom-fit MRI-based instrumentation and 40 TKA patients with traditional instrumentation. There were no differences in terms of KSS, knee flexion, knee swelling, and pain at 3-month follow-up.
In our series, all patients exhibited a substantial and statistically significant improvement in KSS, WOMAC, and patient quality of life. There were also full or significant resolution of pain symptoms, based on the VAS pain scale, and high patient satisfaction from treatment. However, there were no significant differences at 12-month follow-up between PSI and conventional instrumentation for KSS, WOMAC, VAS pain, and VAS satisfaction. Our results are comparable to those of other authors and confirm their findings. In our opinion, this affirms that the study followed a correct procedure and adds credibility to our findings.
Since PSI does not require femoral medullary cavity reaming, the use of this method has previously been shown to reduce peri- and postoperative blood loss and lower the rate of thromboembolic complications. Increased rates of pulmonary embolism in cases where intramedullary guides were used were reported by Lotke and Ecker , Kolettis et al. , and Caillouette and Anzel . The results of the study performed by Kalairajah et al.  suggested that computer-assisted TKA decreases systemic emboli significantly, when compared with conventional jig-based surgery.
In our study, we did not show a statistically significant difference in postoperative blood loss between the two groups; nevertheless, the estimated blood loss was lower in Group I by 150 mL. It should be noted that the hole in the femur from intramedullary reaming was filled with autologous bone graft in all Group II patients. Similarly, in the study by Roh et al. , blood loss estimated via postoperative drain flow did not differ between groups (783.7 mL in the CT-based Signature PSI group versus 843.8 mL in the conventional instrument group). Boonen et al.  reported significantly lower intraoperative blood loss in the group of patients operated on with the MRI-based Signature system (193.2 mL) compared to those who underwent conventional method (297.9 mL, ). In contrast, Stronach et al.  analyzed intraoperative blood loss and found no difference between the MRI-based Signature (114 mL) and standard instrumentation groups (107 mL).
High operative blood loss was managed with transfusions of homologous blood from a blood bank. In our series, 11 patients required at least one unit of RBC transfusion. As reported by various authors, the percentage of patients after TKA who require a RBC transfusion ranges from 33 to 75%, and one unit of RBC is usually sufficient [36–38]. Cut bone structures are a significant source of postoperative bleeding, which is particularly important in uncemented arthroplasty. Since most studies refer to cemented arthroplasty, the percentage of patients in our study who required RBC transfusions should be considered as relatively low. The use of CT-based Signature PSI did not noticeably decrease the frequency of RBC transfusions.
TKA, as with any other surgical intervention, bears a risk of various complications. The incidence of complications in postoperative wound healing in patients after TKA ranges from 1 to 10% [39, 40]. In our study, we reported three such cases (6.1%), including two cases of intra-articular hematoma in conventional instrumentation patients and one case of a superficial wound infection in the PSI group with hospital-acquired pneumonia and a history of other comorbdities (cirrhosis, chronic atrial fibrillation, chronic heart failure, chronic obstructive pulmonary disease, diabetes, and hypothyroidism). Three patients did not achieve active flexion of the operated joint of over 90° at follow-up. Since arthrofibrosis prevents correct rehabilitation and patient’s functioning after surgery, all patients with postoperative knee joint rigidity were treated by arthroscopic lysis of the adhesions. The incidence of fixed flexion deformity following TKA can be as high as 17% . In our study, the CT-based Signature PSI system did not influence the rate of complications after TKA.
In theory, simplification of instruments using PSI can result in reduced surgical duration. In a study by Boonen et al. , the duration of TKA was significantly shorter with the use of the MRI-based Signature guides than in conventional instrument TKA (44.7 ± 6.5 and 50.0 ± 10.6 min, resp.; ). Bali et al.  also found a shorter skin-to skin time in 10 PSI cases compared retrospectively to contralateral TKA times. In contrast, Hamilton et al.  found that CT-based TruMatch PSI increased surgical time; the total surgical time was 4 minutes shorter for patients in the conventional group (54.7 min. versus 61.8 min., resp.; < 0.01). In the study performed by Roh et al. , surgical time was also longer using the CT-based Signature PSI group than the conventional group (59.4 versus 46.6 min., resp.; ). Nunley et al.  showed a marginal improvement and no statistically significant difference in tourniquet time for the MRI-based Signature system compared to conventional instrumentation (56 min. versus 61 min., resp.). Our findings confirm the results of the last study. In our material, the use of the Signature system resulted in a statistically insignificant increase in the duration of the surgery. It seems that the results obtained were different from those with longer durations due to inadequate fit of the PSI guides to the bone structures, as revealed in our previous report .
The possibility to evaluate the size of the prostheses before TKA is a theoretical advantage of PSI. This data could shorten the duration of the procedure, as well as reducing the quantity of implants delivered to the surgical unit each time. Currently, due to the possibility of significant discrepancies between the X-ray view and the patient’s clinical condition, knee replacement procedures are only performed if a full range of prosthesis sizes are available. In our study, despite a high correlation between the planned sizes of prosthetic components and those actually implanted, differences were recorded in as many as 10.2%, 24.5%, and 20.4% for the femoral component, tibial component, and polyethylene insert, respectively. Since the surgical planning system in question does not allow the sizes of the implants to be determined unequivocally before surgery, its relevance for use seems to be limited. It should be emphasized that, in our series, every preoperative surgical plan was checked and, if necessary, changed by the surgeon himself. This may explain why our results are better than those reported by other authors and confirms the necessity of careful analysis of preoperative software planning. In the study by Stronach et al. , MRI-based Signature PSI predicted the implanted component size in only 23% of femurs and 47% of tibias. Lustig et al.  performed a study to evaluate the MRI-based Visionaire PSI. In their study, the planned size matched the surgeon’s decision in 52% and 50% of cases for the femur and tibia, respectively. In the cases that did not match, the planned size was a size too small in 23.3% of the time for the tibia and 28.3% of the time for the femur. Koch et al.  assessed the results of 301 TKAs performed with CT-based McKnee© PSI. In their material, the planned size was changed in total of 10.8% of all 602 implanted components. The tibial component was changed in 53 cases (in 26 cases, they were upsized, and in 27 cases, they were a downsized), and the femoral component was changed in 12 cases (in 7 cases they were upsized and in 5 cases, they were downsized).
The current study has several strengths and limitations . The strengths include the randomized and controlled design of the study. As it was the first series of CT-based PSI TKAs in Poland and CT-related costs hindered the execution of our study, the population size of both groups should be viewed as relatively high, especially in comparison with most of the other studies. Although all procedures were performed by one surgeon experienced in TKA with previous training in PSI Signature method, we acknowledge the potential influence of the learning curve on our findings. There was some room for bias in this study, as the first author was a member of the surgical team in all cases and cared for the patients after the procedure. There was a possibility that he would know the group they were assigned to during the clinical examination. Further limitations include using the estimated intraoperative blood loss, instead of actual blood loss, and the short follow-up period. Nevertheless, our follow-up period was similar to Pietsch et al. , and we wanted to assess the rate of functional recovery rather than the longevity of the prosthesis. Finally, only one CT-based PSI system was used in this study, and the results may not apply to other CT or MRI-based positioning guides.
There was no improvement in the precision of knee implant positioning and restoration of the correct mechanical axis of the operated limb using the Signature PSI system , but performing TKA still provided good clinical outcomes and high patient satisfaction rates in both groups. Our study showed no differences between CT-based Signature PSI and conventional instrumentation in both early clinical outcomes and perioperative data. Simplified instrumentation, no need to ream the femur medullary canal, as well as more accurate preparation for surgery via the possibility to analyze interactive, 3D software data, remains undeniable benefits of PSI. In our opinion, further high-quality investigations of various patient-specific systems and longer follow-up are necessary to assess the efficacy of this new approach before it is widely accepted.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Y.-J. Weng, R. W.-W. Hsu, and W.-H. Hsu, “Comparison of computer-assisted navigation and conventional instrumentation for bilateral total knee arthroplasty,” Journal of Arthroplasty, vol. 24, no. 5, pp. 668–673, 2009.View at: Publisher Site | Google Scholar
J. A. Rodriguez, H. Bhende, and C. S. Ranawat, “Total condylar knee replacement: a 20-year followup study,” Clinical Orthopaedics and Related Research, no. 388, pp. 10–17, 2001.View at: Google Scholar
A. V. Lombardi Jr., K. R. Berend, and J. B. Adams, “Patient-specific approach in total knee arthroplasty,” Orthopedics, vol. 31, pp. 927–930, 2008.View at: Google Scholar
D. Nam, P. A. Maher, B. J. Rebolledo, D. H. Nawabi, A. S. McLawhorn, and A. D. Pearle, “Patient specific cutting guides versus an imageless, computer-assisted surgery system in total knee arthroplasty,” The Knee, vol. 20, no. 4, pp. 263–267, 2013.View at: Publisher Site | Google Scholar
Y. W. Roh, T. W. Kim, S. Lee, S. C. Seong, and M. C. Lee, “Is TKA using patient-specific instruments comparable to conventional TKA? A randomized controlled study of one system knee,” Clinical Orthopaedics and Related Research, vol. 471, no. 12, pp. 3988–3995, 2013.View at: Publisher Site | Google Scholar
K. Daniilidis and C. O. Tibesku, “A comparison of conventional and patient-specific instruments in total knee arthroplasty,” International Orthopaedics, vol. 38, no. 3, pp. 503–508, 2014.View at: Publisher Site | Google Scholar
A. Kotela and I. Kotela, “Patient-specific computed tomography based instrumentation in total knee arthroplasty: a prospective randomized controlled study,” International Orthopaedics, vol. 38, no. 10, pp. 2099–2107, 2014.View at: Publisher Site | Google Scholar
N. Helmy, M. L. Dao Trong, and S. P. Kühnel, “Accuracy of patient specific cutting blocks in total knee arthroplasty,” BioMed Research International, vol. 2014, Article ID 562919, 10 pages, 2014.View at: Publisher Site | Google Scholar
J. Victor, J. Dujardin, H. Vandenneucker, N. Arnout, and J. Bellemans, “Patient-specific guides do not improve accuracy in total knee arthroplasty: a prospective randomized controlled trial knee,” Clinical Orthopaedics and Related Research, vol. 472, no. 1, pp. 263–271, 2014.View at: Publisher Site | Google Scholar
J. H. Bargren, J. D. Blaha, and M. A. R. Freeman, “Alignment in total knee arthroplasty. Correlated biomechanical and clinical observations,” Clinical Orthopaedics and Related Research, vol. 173, pp. 178–183, 1983.View at: Google Scholar
P. A. Lotke and M. L. Ecker, “Influence of positioning of prosthesis in total knee replacement,” The Journal of Bone and Joint Surgery—American Volume, vol. 59, no. 1, pp. 77–79, 1977.View at: Google Scholar
M. A. Ritter, P. M. Faris, E. B. Keating, and J. B. Meding, “Postoperative alignment of total knee replacement: its effect on survival,” Clinical Orthopaedics and Related Research, vol. 299, pp. 153–156, 1994.View at: Google Scholar
P. F. Sharkey, W. J. Hozack, R. H. Rothman, S. Shastri, and S. M. Jacoby, “Why are total knee arthroplasties failing today?” Clinical Orthopaedics and Related Research, no. 404, pp. 7–13, 2002.View at: Google Scholar
R. C. Wasielewski, J. O. Galante, R. M. Leighty, R. N. Natarajan, and A. G. Rosenberg, “Wear patterns on retrieved polyethylene tibial inserts and their relationship to technical considerations during total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 299, pp. 31–43, 1994.View at: Google Scholar
M. Akagi, Y. Matsusue, T. Mata et al., “Effect of rotational alignment on patellar tracking in total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 366, pp. 155–163, 1999.View at: Google Scholar
Y. S. Anouchi, L. A. Whiteside, A. D. Kaiser, and M. T. Milliano, “The effects of axial rotational alignment of the femoral component on knee stability and patellar tracking in total knee arthroplasty demonstrated on autopsy specimens,” Clinical Orthopaedics and Related Research, no. 287, pp. 170–177, 1993.View at: Google Scholar
R. A. Berger, L. S. Crossett, J. J. Jacobs, and H. E. Rubash, “Malrotation causing patellofemoral complications after total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 356, pp. 144–153, 1998.View at: Google Scholar
S. Matsuda, H. Miura, R. Nagamine, K. Urabe, G. Hirata, and Y. Iwamoto, “Effect of femoral and tibial component position on patellar tracking following total knee arthroplasty: 10-year follow-up of Miller-Galante I knees,” The American Journal of Knee Surgery, vol. 14, no. 3, pp. 152–156, 2001.View at: Google Scholar
D. D. Rhoads, P. C. Noble, J. D. Reuben, O. M. Mahoney, and H. S. Tullos, “The effect of femoral component position on patellar tracking after total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 260, pp. 43–51, 1990.View at: Google Scholar
I. Yoshii, L. A. Whiteside, S. E. White, and M. T. Milliano, “Influence of prosthetic joint line position on knee kinematics and patellar position,” The Journal of Arthroplasty, vol. 6, no. 2, pp. 169–177, 1991.View at: Publisher Site | Google Scholar
C. W. Olcott and R. D. Scott, “Femoral component rotation during total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 367, pp. 39–42, 1999.View at: Google Scholar
M. C. Miller, R. A. Berger, A. J. Petrella et al., “Optimizing femoral component rotation in total knee arthroplasty,” Clinical Orthopaedics and Related Research, vol. 392, pp. 38–45, 2001.View at: Google Scholar
H. Hanada, L. A. Whiteside, J. Steiger, P. Dyer, and M. Naito, “Bone landmarks are more reliable than tensioned gaps in TKA component alignment,” Clinical Orthopaedics & Related Research, vol. 462, no. 1, pp. 137–142, 2007.View at: Publisher Site | Google Scholar
J. Bellemans, F. Robijns, J. Duerinckx, S. Banks, and H. Vandenneucker, “The influence of tibial slope on maximal flexion after total knee arthroplasty,” Knee Surgery, Sports Traumatology, Arthroscopy, vol. 13, no. 3, pp. 193–196, 2005.View at: Publisher Site | Google Scholar
R. Stempin, A. Kotela, M. Ostrowska, and I. Kotela, “Vanguard signature TKR—first experiences,” Chirurgia Narządów Ruchu i Ortopedia Polska, vol. 76, no. 6, pp. 350–352, 2011.View at: Google Scholar
B. Boonen, M. G. M. Schotanus, and N. P. Kort, “Preliminary experience with the patient-specific templating total knee arthroplasty,” Acta Orthopaedica, vol. 83, no. 4, pp. 387–393, 2012.View at: Publisher Site | Google Scholar
B. M. Stronach, C. E. Pelt, J. Erickson, and C. L. Peters, “Patient-specific total knee arthroplasty required frequent surgeon-directed changes knee,” Clinical Orthopaedics and Related Research, vol. 471, no. 1, pp. 169–174, 2013.View at: Publisher Site | Google Scholar
D. Chmielewski, A. Gorecki, D. Kusz et al., “Principles of prevention of venous thromboembolism in orthopedics and traumatology,” Ortopedia, Traumatologia, Rehabilitacja, vol. 16, pp. 227–239, 2014.View at: Google Scholar
M. P. Abdel, S. Parratte, G. Blanc et al., “No benefit of patient-specific instrumentation in TKA on functional and gait outcomes: a randomized clinical trial,” Clinical Orthopaedics and Related Research, vol. 472, no. 8, pp. 2468–2476, 2014.View at: Publisher Site | Google Scholar
S. T. Woolson, A. H. S. Harris, D. W. Wagner, and N. J. Giori, “Component alignment during total knee arthroplasty with use of standard or custom instrumentation: a randomized clinical trial using computed tomography for postoperative alignment measurement,” The Journal of Bone and Joint Surgery—American Volume, vol. 96, no. 5, pp. 366–372, 2014.View at: Publisher Site | Google Scholar
M. Pietsch, O. Djahani, C. Zweiger et al., “Custom-fit minimally invasive total knee arthroplasty: effect on blood loss and early clinical outcomes,” Knee Surgery, Sports Traumatology, Arthroscopy, vol. 21, no. 10, pp. 2234–2240, 2013.View at: Publisher Site | Google Scholar
G. T. Kolettis, R. L. Wixson, W. T. Peruzzi, M. J. Blake, S. Wardell, and S. D. Stulberg, “Safety of 1-stage bilateral total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 309, pp. 102–109, 1994.View at: Google Scholar
J. T. Caillouette and S. H. Anzel, “Fat embolism syndrome following the intramedullary alignment guide in total knee arthroplasty,” Clinical Orthopaedics and Related Research, no. 251, pp. 198–199, 1990.View at: Google Scholar
Y. Kalairajah, A. J. Cossey, G. M. Verrall, G. Ludbrook, and A. J. Spriggins, “Are systemic emboli reduced in computer-assisted knee surgery? A prospective, randomised, clinical trial,” The Journal of Bone & Joint Surgery—British Volume, vol. 88, no. 2, pp. 198–202, 2006.View at: Publisher Site | Google Scholar
B. Boonen, M. G. M. Schotanus, B. Kerens, W. van der Weegen, R. A. M. van Drumpt, and N. P. Kort, “Intra-operative results and radiological outcome of conventional and patient-specific surgery in total knee arthroplasty: a multicentre, randomised controlled trial,” Knee Surgery, Sports Traumatology, Arthroscopy, vol. 21, no. 10, pp. 2206–2212, 2013.View at: Publisher Site | Google Scholar
P. Massin, C. Scemama, C. Jeanrot, and P. Boyer, “Does fibrin sealant use in total knee replacement reduce transfusion rates? A non-randomised comparative study,” Orthopaedics & Traumatology: Surgery & Research, vol. 98, no. 2, pp. 180–185, 2012.View at: Publisher Site | Google Scholar
P. Sa-ngasoongsong, T. Channoom, V. Kawinwonggowit et al., “Postoperative blood loss reduction in computer-assisted surgery total knee replacement by low dose intra-articular tranexamic acid injection together with 2-hour clamp drain: a prospective triple-blinded randomized controlled trial,” Orthopedic Reviews, vol. 3, no. 2, article e12, 2011.View at: Publisher Site | Google Scholar
H. Zhang, J. Chen, F. Chen, and W. Que, “The effect of tranexamic acid on blood loss and use of blood products in total knee arthroplasty: a meta-analysis,” Knee Surgery, Sports Traumatology, Arthroscopy, vol. 20, no. 9, pp. 1742–1752, 2012.View at: Publisher Site | Google Scholar
W. J. Gaine, N. A. Ramamohan, N. A. Hussein, M. G. Hullin, and S. W. McCreath, “Wound infection in hip and knee arthroplasty,” The Journal of Bone & Joint Surgery—British Volume, vol. 82, no. 4, pp. 561–565, 2000.View at: Publisher Site | Google Scholar
D. Pineda and G. Tuma, “Soft tissue coverage following total knee arthroplasty,” in The Knee: Reconstruction, Replacement and Revision, vol. 1, Data Trace Publishing Company, 2013.View at: Google Scholar
M. Tew and I. W. Forster, “Effect of knee replacement on flexion deformity,” The Journal of Bone and Joint Surgery—British Volume, vol. 69, no. 3, pp. 395–399, 1987.View at: Google Scholar
K. Bali, P. Walker, and W. Bruce, “Custom-fit total knee arthroplasty: our initial experience in 32 knees,” The Journal of Arthroplasty, vol. 27, no. 6, pp. 1149–1154, 2012.View at: Publisher Site | Google Scholar
W. G. Hamilton, N. L. Parks, and A. Saxena, “Patient-specific instrumentation does not shorten surgical time: a prospective, randomized trial,” The Journal of Arthroplasty, vol. 28, supplement 8, pp. 96–100, 2013.View at: Publisher Site | Google Scholar
R. M. Nunley, B. S. Ellison, E. L. Ruh et al., “Are patient-specific cutting blocks cost-effective for total knee arthroplasty?” Clinical Orthopaedics and Related Research, vol. 470, no. 3, pp. 889–894, 2012.View at: Publisher Site | Google Scholar
S. Lustig, C. J. Scholes, S. I. Oussedik, V. Kinzel, M. R. J. Coolican, and D. A. Parker, “Unsatisfactory accuracy as determined by computer navigation of VISIONAIRE patient-specific instrumentation for total knee arthroplasty,” The Journal of Arthroplasty, vol. 28, no. 3, pp. 469–473, 2013.View at: Publisher Site | Google Scholar
P. P. Koch, D. Müller, M. Pisan, and S. F. Fucentese, “Radiographic accuracy in TKA with a CT-based patient-specific cutting block technique,” Knee Surgery, Sports Traumatology, Arthroscopy, vol. 21, no. 10, pp. 2200–2205, 2013.View at: Publisher Site | Google Scholar