医学
外科
端口(电路理论)
机械人手术
普通外科
工程类
电气工程
作者
Zhang Lin,Honghua Zhou,Wen Zhong,Hang Zheng,Kun Yang,Xinghuan Wang
标识
DOI:10.1089/end.2024.0822
摘要
Purpose: To determine the feasibility and safety of a new domestic single-port surgical robot in urologic partial nephrectomy and radical prostatectomy, as measured by the primary metric outcome (surgical success rate). In addition, this study measured important perioperative surgical outcomes, such as operative time, blood loss, postoperative length of stay, docking time, and thermal ischemia time, and reported pathologic data using the surgical robot. Materials and Methods: This prospective, single-center, single-group clinical study was conducted between August 2023 and October 2023. One surgeon used a new domestic single-port surgical robot (EDGE SP1000) to perform six urologic procedures, including three partial nephrectomies and three extraperitoneal radical prostatectomies. Perioperative data were prospectively recorded, early oncologic outcomes were assessed based on the surgical margin status, and equipment ergonomic comfort was assessed using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Results: All six procedures were effectively completed without conversion to open surgery, laparoscopy, or use of multiport robots. The average total operation time was 207.92 ± 32.42 minutes, estimated blood loss was 100 mL (10-900 mL), and postoperative hospital stay was 8.67 ± 1.33 days. The average docking time was 16.25 ± 5.68 minutes, and warm ischemia time was 17.00 ± 2.65 minutes. None of the patients required perioperative blood transfusion. All pathologic examination margins were negative. No serious perioperative complications occurred (Clavien-Dindo grade 3). The surgeon reported that the device was comfortable to use, with a NASA-TLX score of 35.67 ± 4.23. Conclusions: It is safe and feasible to perform urologic procedure using the EDGE single-port endoscopic surgical robot (EDGE SP1000) control system.
科研通智能强力驱动
Strongly Powered by AbleSci AI