Int J Med Robot - Analysis of the learning curve for robotic hysterectomy for benign gynaecological disease.

Tópicos

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Resumo

CKGROUND: The objective was to evaluate the learning curve for performing a robotic hysterectomy to treat benign gynaecological disease.METHODS: Thirty-six patients underwent robotic hysterectomy for benign indications. A systematic chart review of consecutive cases was conducted. The collected data included age, BMI, operating time, set-up time, docking time, uterine weight, blood loss, intraoperative complications, postoperative complications, conversions to laparotomy and length of hospital stay.RESULTS: The mean operating, set-up and docking times were 169?54.5, 52.9?12.4 and 7.8?7.6min, respectively. The learning curve analysis revealed a decrease in both docking and operating times, with both curves plateauing after case 9.CONCLUSIONS: The learning curve analysis revealed a decrease in docking time and operating time after case 9, suggesting that there might be a fast, learning curve for experienced laparoscopic surgeons to master robotic hysterectomy, and that the docking process does not have a significant negative influence on the overall operating time.

Resumo Limpo

ckground object evalu learn curv perform robot hysterectomi treat benign gynaecolog diseasemethod thirtysix patient underw robot hysterectomi benign indic systemat chart review consecut case conduct collect data includ age bmi oper time setup time dock time uterin weight blood loss intraop complic postop complic convers laparotomi length hospit stayresult mean oper setup dock time min respect learn curv analysi reveal decreas dock oper time curv plateau case conclus learn curv analysi reveal decreas dock time oper time case suggest might fast learn curv experienc laparoscop surgeon master robot hysterectomi dock process signific negat influenc overal oper time

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