Extraperitoneal Robot-Assisted Radical Prostatectomy with the Hugo™ RAS System: Initial Experience at a High-Volume Robotic Centre
Marcello Scarcia, Giovanni Battista Filomena, Stefano Moretto, Filippo Marino, Simone Cotrufo, Alessandra Francocci, Francesco Paolo Maselli, Giuseppe Cardo, Giovanni Pagliarulo, Pierluigi Rizzo, Pierluigi Russo, Michele Di Dio, Stefano Alba, Roberto Calbi, Michele Romano, Michele Zazzara, Giuseppe Mario Ludovico
- 发表年份
- 2024
- 引用次数
- 2
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- 开放获取
摘要
Background: The Hugo™ Robotic-Assisted Surgery (Hugo™ RAS) system represents a novel advancement in robotic surgical technology. Despite this, there remains a scarcity of data regarding extraperitoneal robot-assisted radical prostatectomy (eRARP) using this system. Methods: We conducted a prospective study at Ospedale Regionale “F. Miulli” from June 2023 to January 2024, enrolling consecutive patients diagnosed with prostate cancer (PCa) undergoing eRARP ± lymph node dissection. All procedures employed a modular four-arm setup performed by two young surgeons with limited prior robotic surgery experience. This study aims to evaluate the safety and feasibility of eRARP using the Hugo™ RAS system, reporting comprehensive preoperative, intraoperative, and postoperative outcomes in the largest reported cohort to date. Results: A total of 50 cases were analyzed, with a mean patient age of 65.76 (±5.57) years. The median operative time was 275 min (Q1–Q3 150–345), and the console time was 240 min (Q1–Q3 150–300). The docking time averaged 10 min (Q1–Q3 6–20). There were no intraoperative complications recorded. Two major complications occurred within the first 90 days. At the 3-month mark, 36 patients (72%) achieved undetectable PSA levels (<0.1 ng/mL). Social continence was achieved by 66% of patients, while 40% maintained erectile function. Conclusions: eRARP utilizing the Hugo™ RAS system demonstrated effectiveness and safety in our study cohort. However, more extensive studies with larger cohorts and longer follow-up periods are necessary to thoroughly evaluate long-term outcomes.
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