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经腹入路机器人辅助切除原发性腹膜后神经鞘瘤的初步应用(附手术视频)

Preliminary application of transperitoneal robot-assisted resection of primary retroperitoneal schwannomas(with surgical video)
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摘要 目的:探讨经腹入路机器人辅助切除原发性腹膜后神经鞘瘤的安全性和有效性。方法:回顾性分析2022年7月—2023年8月盐城市第一人民医院行机器人辅助切除原发性腹膜后神经鞘瘤的2例患者临床资料。观察患者手术情况、术后随访情况及术后恢复情况。结果:2例患者均顺利完成手术,无中转开腹,无术中输血。手术时间分别为110 min和60 min,术中出血量分别为100 mL和50 mL,无严重并发症发生。随访均未见肿瘤复发。结论:经腹入路机器人辅助切除原发性腹膜后神经鞘瘤是安全、可行的,临床值得推广。 Objective:To investigate the safety and clinical efficacy of transperitoneal robot-assisted resection of primary retroperitoneal schwannoma(PRS).Methods:The clinical data of 2 patients who underwent robot-assisted resection of PRS in the Yancheng NO.1 People`s Hospital from July 2022 to August 2023 were retrospectively analyzed.The patients’operative status,postoperative follow-up and postoperative recovery were observed.Results:All operations were successfully completed without conversion to laparotomy or intraoperative blood transfusion.The operative time was 110 min and 60 min,and the intraoperative blood loss was 100 mL and 50 mL.No serious complications occurred in the 2 patients.All patients were followed up and no tumor recurrence was found.Conclusion:Robot-assisted resection of PRS by transperitoneal approach is safe and feasible,and worthy of clinical promotion.
作者 李作安 张晓艳 潘亚奇 Muhammad Shaheer Saleem 王树人 查文章 LI Zuoan;ZHANG Xiaoyan;PAN Yaqi;Muhammad Shaheer Saleem;WANG Shuren;ZHA Wenzhang(Department of Hepato-pancreato-biliary Surgery,Yancheng NO.1 People’s Hospital/Yancheng Clinical College of Xuzhou Medical University,Yancheng 224003,China;Department of Oncology,Yancheng NO.1 People’s Hospital/Yancheng Clinical College of Xuzhou Medical University,Yancheng 224003,China;Department of Pathology,Yancheng NO.1 People’s Hospital/Yancheng Clinical College of Xuzhou Medical University,Yancheng 224003,China)
出处 《机器人外科学杂志(中英文)》 2024年第5期903-909,共7页 Chinese Journal of Robotic Surgery
基金 盐城市卫健委医学科研重点项目(YK2023011)。
关键词 腹膜后肿瘤 神经鞘瘤 机器人手术系统 三维可视化重建 Retroperitoneal Tumor Schwannoma Robotic Surgical System Three-dimensional Visualization Reconstruction
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