scholarly journals Three-dimensional computed tomography based robotic arm assisted knee arthroplasty

2022 ◽  
Vol 21 (1) ◽  
pp. 82-89
Author(s):  
Reha N. Tandoğan ◽  
Asım Kayaalp ◽  
Eşref Terzi
Keyword(s):  
Computed Tomography ◽  
Knee Arthroplasty ◽  
Three Dimensional ◽  
Robotic Arm

Three-dimensional Analysis of Computed Tomography–Based Navigation System for Total Knee Arthroplasty

2009 ◽  
Vol 24 (7) ◽  
pp. 1103-1110 ◽  
Author(s):  
Hideki Mizu-uchi ◽  
Shuichi Matsuda ◽  
Hiromasa Miura ◽  
Hidehiko Higaki ◽  
Ken Okazaki ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Total Knee Arthroplasty ◽  
Dimensional Analysis ◽  
Knee Arthroplasty ◽  
Navigation System ◽  
Three Dimensional ◽  
Total Knee

Midterm Comparison of Tibial Fixation between Posterior Cruciate-Retaining and Substituting Porous Tantalum Total Knee Arthroplasty: Three-Dimensional Computed Tomography Analysis

2019 ◽  
Vol 34 (01) ◽  
pp. 047-056
Author(s):  
Takao Kaneko ◽  
Norihiko Kono ◽  
Yuta Mochizuki ◽  
Masaru Hada ◽  
Shinya Toyoda ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Total Knee Arthroplasty ◽  
Bone Quality ◽  
Knee Arthroplasty ◽  
Tibial Component ◽  
Three Dimensional ◽  
Porous Tantalum ◽  
Cruciate Retaining ◽  
Significant Difference ◽  
Total Knee

AbstractPorous tantalum tibial component is durable with excellent bone ingrowth, higher knee scores, and long-term survivorship. However, to our knowledge, the effect of posterior cruciate-retaining (CR) and posterior cruciate-substituting (PS) porous tantalum tibial component has not been reported. The aim of the current study was to investigate the prosthetic bone quality between CR porous tantalum tibial component and PS using three-dimensional multi-detector-row computed tomography (3D-MDCT). Porous twenty-two (22) CR total knee arthroplasties and 22 PS received 3D-MDCT at every 6 months up to 5.5 years postoperatively to assess prosthetic bone quality (bone marrow contents/tissue volumes [BMC/TV, mg/cm3]) underneath the pegs of porous tantalum modular tibial component. Clinical outcomes (Knee Society score [KSS], Western Ontario and McMaster Universities (WOMAC), FJS-12, Patella score) were evaluated at a minimum follow-up period of 5.5 years. No statistically significant differences were found in age, gender, body mass index, KSS, and BMC/TV volumes in the proximal tibia between the two groups before total knee arthroplasty (TKA). There were also no significant differences between the CR and PS groups with regard to BMC/TV at every 6 months up to 5.5 years after TKA. At 5.5 years postoperatively, there was no significant difference between the two groups in terms of the KSS, WOMAC, forgotten joint score (FJS-12), and Patella score. The present study revealed that the prosthetic bone quality of the CR porous tantalum tibial component and PS were equivalent at every 6 months up to 5.5 years after TKA. This study reflects level II evidence.

Adoption of Robotic-Arm-Assisted Total Knee Arthroplasty Is Associated with Decreased Use of Articular Constraint and Manipulation under Anesthesia Compared to a Manual Approach

2021 ◽  
Author(s):  
Jenny Zhang ◽  
Chelsea N. Matzko ◽  
Andrew Sawires ◽  
Joseph O. Ehiorobo ◽  
Michael A. Mont ◽  
...  
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Three Dimensional ◽  
Robotic Arm ◽  
Patient Specific ◽  
Patient Centered ◽  
Lengths Of Stay ◽  
Ligament Balance ◽  
Total Knee ◽  
Early Cohort

AbstractHaptic robotic-arm-assisted total knee arthroplasty (RATKA) seeks to leverage three-dimensional planning, intraoperative assessment of ligament laxity, and guided bone preparation to establish and achieve patient-specific targets for implant position. We sought to compare (1) operative details, (2) knee alignment, (3) recovery of knee function, and (4) complications during adoption of this technique to our experience with manual TKA. We compared 120 RATKAs performed between December 2016 and July 2018 to 120 consecutive manual TKAs performed between May 2015 and January 2017. Operative details, lengths of stay (LOS), and discharge dispositions were collected. Tibiofemoral angles, Knee Society Scores (KSS), and ranges of motion were assessed until 3 months postoperatively. Manipulations under anesthesia, complications, and reoperations were tabulated. Mean operative times were 22 minutes longer in RATKA (p < 0.001) for this early cohort, but decreased by 27 minutes (p < 0.001) from the first 25 RATKA cases to the last 25 RATKA cases. Less articular constraint was used to achieve stability in RATKA (93 vs. 55% cruciate-retaining, p < 0.001; 3 vs. 35% posterior stabilized (PS), p < 0.001; and 4 vs. 10% varus-valgus constrained, p_ = _0.127). RATKA had lower LOS (2.7 vs. 3.4 days, p < 0.001). Discharge dispositions, tibiofemoral angles, KSS, and knee flexion angles did not differ, but manipulations were less common in RATKAs (4 vs. 17%, p = 0.013). We observed less use of constraint, shorter LOS, and fewer manipulations under anesthesia in RATKA, with no increase in complications. Operative times were longer, particularly early in the learning curve, but improved with experience. All measured patient-centered outcomes were equivalent or favored the newer technique, suggesting that RATKA with patient-specific alignment targets does not compromise initial quality. Observed differences may relate to improved ligament balance or diminished need for ligament release.

The Accuracy of Computed Tomography-Based, Three-Dimensional Implant Planning in Robotic-Assisted Total Knee Arthroplasty

2021 ◽  
Author(s):  
Kevin B. Marchand ◽  
Hytham S. Salem ◽  
Kevin K. Mathew ◽  
Steven F. Harwin ◽  
Michael A. Mont ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Predictive Accuracy ◽  
Outpatient Surgery ◽  
Three Dimensional ◽  
Patient Specific ◽  
Robotic Assisted ◽  
Preoperative Ct ◽  
Total Knee

AbstractAdvanced imaging used in robotic-assisted total knee arthroplasty (TKA), such as computed tomography (CT)-based three-dimensional (3D) planning, may provide an accurate means of implant sizing preoperatively. The purpose of this study was to examine preoperative CT-based implant planning accuracy for robotic-assisted TKA in patients who have (1) varus deformities, (2) valgus deformities, (3) neutral alignment, and (4) retained hardware. A total of 393 patients underwent a robotic-assisted TKA by a single surgeon received preoperative CT scans. The surgeon reviewed the CT-based model preoperatively and recorded the expected size of the components. The final implants used in each case were recorded and compared with the surgeon's preoperative plan. In all groups of patients, the surgeon's CT-based implant plan was within one size of the implant utilized 100% of the time for both the tibiae and femora. Overall, the surgeon was exactly matched in 319 (81%) and 315 (80%) cases for the femoral and tibial components, respectively. For the femoral component, the mean age for patients in whom the original plan was exactly matched was younger than those whose implants were upsized and older than patients those implants were downsized (p = 0.024). Other patient demographics and preoperative knee alignment were not associated with predictive accuracy for femoral or tibial components. Our results demonstrate how preoperative CT-based, 3D planning for robotic-assisted TKA is accurate to within one size of the components in every case (100%), and exactly matched in 80%. The results of this study are important because they demonstrate how CT-based preoperative implant planning for TKA is reliable and accurate across all native knee alignments and other patient-specific factors. In addition, they build on a previous study by the same single surgeon, demonstrating that predictive ability can improve over time. This may be important as we move toward more outpatient surgery with less ability for prostheses inventory at ambulatory sites.

Robotic Arm-Assisted Lateral Unicompartmental Knee Arthroplasty: How Are Components Aligned?

2021 ◽  
Author(s):  
Francesco Zambianchi ◽  
Giorgio Franceschi ◽  
Federico Banchelli ◽  
Andrea Marcovigi ◽  
Andrea Ensini ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Arthroplasty ◽  
Unicompartmental Knee Arthroplasty ◽  
Three Dimensional ◽  
Robotic Arm ◽  
Short Term ◽  
Soft Tissue Balancing ◽  
Lateral Unicompartmental Knee Arthroplasty ◽  
Lateral Uka

AbstractThe purpose of this multicenter, retrospective, observational study was to investigate the association between intraoperative component positioning and soft tissue balancing, as reported by robotic technology for a cohort of patients who received robotic arm-assisted lateral unicompartmental knee arthroplasty (UKA) as well as short-term clinical follow-up of these patients. Between 2013 and 2016, 78 patients (79 knees) underwent robotic arm-assisted lateral UKAs at two centers. Pre- and postoperatively, patients were administered the Knee Injury and Osteoarthritis Score (KOOS) and the Forgotten Joint Score-12 (FJS-12). Clinical results were dichotomized based upon KOOS and FJS-12 scores into either excellent or fair outcome, considering excellent KOOS and FJS-12 to be greater than or equal to 90. Intraoperative, postimplantation robotic data relative to computed tomography-based components placement were collected and classified. Following exclusions and loss to follow-up, a total of 74 subjects (75 knees) who received robotic arm-assisted lateral UKAs were taken into account with an average follow-up of 36.3 months (range: 25.0–54.2 months) postoperative. Of these, 66 patients (67 knees) were included in the clinical outcome analysis. All postoperative clinical scores showed significant improvement compared with the preoperative evaluation. No association was reported between three-dimensional component positioning and soft tissue balancing throughout knee range of motion with overall KOOS, KOOS subscales, and FJS-12 scores. Lateral UKA three-dimensional placement does not seem to affect short-term clinical performance. However, precise boundaries for lateral UKA positioning and balancing should be taken into account. Robotic assistance allows surgeons to acquire real-time information regarding implant alignment and soft tissue balancing.

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