Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System
Abstract Purpose Robotic‐assisted total knee arthroplasty (RA‐TKA) has gained popularity for its potential ability to improve surgical precision and patient outcomes, despite concerns about its long learning curve and increased operative times. The aim of this study is to evaluate the learning curve...
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Wiley
2025-01-01
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| Series: | Journal of Experimental Orthopaedics |
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| Online Access: | https://doi.org/10.1002/jeo2.70148 |
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| author | Stefano Petrillo Giorgio Moretti Niccolò Bordignon Sergio Romagnoli |
| author_facet | Stefano Petrillo Giorgio Moretti Niccolò Bordignon Sergio Romagnoli |
| author_sort | Stefano Petrillo |
| collection | DOAJ |
| description | Abstract Purpose Robotic‐assisted total knee arthroplasty (RA‐TKA) has gained popularity for its potential ability to improve surgical precision and patient outcomes, despite concerns about its long learning curve and increased operative times. The aim of this study is to evaluate the learning curve of the ROSA® Knee System, the relationship between each phase of the learning curve and the accuracy of the robotic system in femoral component size and knee alignment prediction. Methods A single surgeon retrospective analysis of total operative time (TOT) and total robotic time was conducted. The first 60 cases of RA‐TKA performed between July 2023 and March 2024 were included. Six (10%) patients were excluded due to incomplete surgical reports. A cumulative sum analysis was used to identify the learning and proficiency phases of the surgeon's learning curve. Moreover, femoral component size prediction accuracy and the difference between planned and achieved knee alignment were analyzed. Results The projected learning curve showed a significant reduction in TOT after 10 cases, with mean time decreasing from 62.6 ± 7.92 min in the learning phase to 49.9 ± 8.10 min in the proficiency phase (p = 0.0008). The robotic procedure accounted for 48% and 42% of the TOT in the learning and proficiency phases, respectively. Prediction in femoral component size was accurate in 92.6% of cases. The difference between planned and achieved knee alignment was not statistically significant (1.1° ± 0.9°). Conclusions The ROSA® Knee System allows a rapid learning curve in RA‐TKA, with a significant reduction in operative time after the first 10 cases. An experienced orthopaedic surgeon specialized in knee arthroplasty can quickly reach a proficiency phase, maintaining high accuracy in alignment and femoral component sizing. These findings suggest that the ROSA® system is an effective and reliable tool for CR RA‐TKA, offering precise and reproducible outcomes. Level of Evidence IV. |
| format | Article |
| id | doaj-art-283facc030e04a1ab51215a234a4dbf0 |
| institution | OA Journals |
| issn | 2197-1153 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Experimental Orthopaedics |
| spelling | doaj-art-283facc030e04a1ab51215a234a4dbf02025-08-20T01:55:38ZengWileyJournal of Experimental Orthopaedics2197-11532025-01-01121n/an/a10.1002/jeo2.70148Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee SystemStefano Petrillo0Giorgio Moretti1Niccolò Bordignon2Sergio Romagnoli3Joint Replacement Department IRCCS Galeazzi‐Sant'Ambrogio Hospital Milan ItalyJoint Replacement Department IRCCS Galeazzi‐Sant'Ambrogio Hospital Milan ItalyJoint Replacement Department IRCCS Galeazzi‐Sant'Ambrogio Hospital Milan ItalyJoint Replacement Department IRCCS Galeazzi‐Sant'Ambrogio Hospital Milan ItalyAbstract Purpose Robotic‐assisted total knee arthroplasty (RA‐TKA) has gained popularity for its potential ability to improve surgical precision and patient outcomes, despite concerns about its long learning curve and increased operative times. The aim of this study is to evaluate the learning curve of the ROSA® Knee System, the relationship between each phase of the learning curve and the accuracy of the robotic system in femoral component size and knee alignment prediction. Methods A single surgeon retrospective analysis of total operative time (TOT) and total robotic time was conducted. The first 60 cases of RA‐TKA performed between July 2023 and March 2024 were included. Six (10%) patients were excluded due to incomplete surgical reports. A cumulative sum analysis was used to identify the learning and proficiency phases of the surgeon's learning curve. Moreover, femoral component size prediction accuracy and the difference between planned and achieved knee alignment were analyzed. Results The projected learning curve showed a significant reduction in TOT after 10 cases, with mean time decreasing from 62.6 ± 7.92 min in the learning phase to 49.9 ± 8.10 min in the proficiency phase (p = 0.0008). The robotic procedure accounted for 48% and 42% of the TOT in the learning and proficiency phases, respectively. Prediction in femoral component size was accurate in 92.6% of cases. The difference between planned and achieved knee alignment was not statistically significant (1.1° ± 0.9°). Conclusions The ROSA® Knee System allows a rapid learning curve in RA‐TKA, with a significant reduction in operative time after the first 10 cases. An experienced orthopaedic surgeon specialized in knee arthroplasty can quickly reach a proficiency phase, maintaining high accuracy in alignment and femoral component sizing. These findings suggest that the ROSA® system is an effective and reliable tool for CR RA‐TKA, offering precise and reproducible outcomes. Level of Evidence IV.https://doi.org/10.1002/jeo2.70148kneelearning curvepersona knee systemrobotic‐assisted arthroplastyROSAtotal knee arthroplasty |
| spellingShingle | Stefano Petrillo Giorgio Moretti Niccolò Bordignon Sergio Romagnoli Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System Journal of Experimental Orthopaedics knee learning curve persona knee system robotic‐assisted arthroplasty ROSA total knee arthroplasty |
| title | Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System |
| title_full | Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System |
| title_fullStr | Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System |
| title_full_unstemmed | Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System |
| title_short | Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System |
| title_sort | rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic assisted total knee arthroplasty with rosa knee system |
| topic | knee learning curve persona knee system robotic‐assisted arthroplasty ROSA total knee arthroplasty |
| url | https://doi.org/10.1002/jeo2.70148 |
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