Initial Learning Curve for Robot-Assisted Total Knee Arthroplasty in a Dedicated Orthopedics Center.
Serban DragosloveanuMihnea-Alexandru PetreBogdan Sorin CapitanuChristiana Diana Maria DragosloveanuRomica CerganCristian ScheauPublished in: Journal of clinical medicine (2023)
Background and objectives: Our study aimed to assess the learning curve for robot-assisted (RA) total knee arthroplasty (TKA) in our hospital, compare operative times between RA-TKAs and manual TKAs, and assess the early complications rate between the two approaches. Methods: We included 39 patients who underwent RA-TKA and 45 control patients subjected to manual TKA in the same period and operated on by the same surgical staff. We collected demographic and patient-related data to assess potential differences between the two groups. Results: No statistical differences were recorded in regard to age, BMI, sex, Kellgren-Lawrence classification, or limb alignment between patients undergoing RA-TKA and manual TKA, respectively. Three surgeons transitioned from the learning to the proficiency phase in our study after a number of 6, 4, and 3 cases, respectively. The overall operative time for the learning phase was 111.54 ± 20.45 min, significantly longer compared to the average of 86.43 ± 19.09 min in the proficiency phase ( p = 0.0154) and 80.56 ± 17.03 min for manual TKAs ( p < 0.0001). No statistically significant difference was recorded between the global operative time for the proficiency phase TKAs versus the controls. No major complications were recorded in either RA-TKA or manual TKA groups. Conclusions: Our results suggest that experienced surgeons may adopt RA-TKA using this platform and quickly adapt without significant complications.
Keyphrases
- total knee arthroplasty
- robot assisted
- total hip
- rheumatoid arthritis
- end stage renal disease
- disease activity
- newly diagnosed
- minimally invasive
- chronic kidney disease
- ejection fraction
- patients undergoing
- risk factors
- ankylosing spondylitis
- peritoneal dialysis
- prognostic factors
- systemic lupus erythematosus
- machine learning
- healthcare
- emergency department
- body mass index
- deep learning
- interstitial lung disease
- risk assessment
- case report
- idiopathic pulmonary fibrosis
- weight gain
- systemic sclerosis
- human health