Shao I-Hung, Lee Chung-Lin, Lin Yu-Hsiang, Wang Hsiang-Sheng, Chen Ming-Chien, Chang Ying-Hsu, Sheng Ting-Wen, Huang Liang-Kang, Kan Hung-Chen, Liu Chung-Yi, Lin Po-Hung, Yu Kai-Jie, Chuang Cheng-Keng, Pang See-Tong, Wu Chun-Te
Division of Urology, Department of Surgery, Chang Gung Memorial Hospital, Linkou Branch, No.5, Fusing St., Gueishan Dist., Taoyuan, Taiwan (R.O.C.).
Department of Medicine, Chang Gung University, Taoyuan, Taiwan.
J Robot Surg. 2025 Jul 10;19(1):368. doi: 10.1007/s11701-025-02537-5.
Robotic-assisted partial nephrectomy has emerged as the standard surgical procedure for managing localized kidney cancers, with bleeding risk being a primary clinical consideration. This investigation seeks to establish simple predictive indicators for hemorrhage-related adverse events.
We performed a retrospective review of sequential patients undergoing robotic-assisted partial nephrectomy at a single tertiary medical center. Patient records and radiographic studies were analyzed to obtain clinical parameters. Tumor characteristics (size, infiltration depth, and standardized nephrometry measurements) were assessed by an experienced radiologist. Bleeding-related outcomes included surgical blood loss, transfusion requirements, reoperation, and need for angiographic intervention. Predictive factors for hemorrhagic events were examined statistically.
The study included 260 participants. Median nephrometry scores were 8.5 (PADUA) and 7.0 (RENAL). The average tumor size measured 39.1 mm with a mean penetration depth of 2.02 mm, and the median renal ischemia duration was 25.5 min. Mean operative hemorrhage volume was 147 ml. Transfusion was administered to 12.7% of cases, with 3.5% experiencing significant hemorrhagic complications. Tumor size independently predicted both intraoperative bleeding and transfusion needs, while invasion depth showed a strong association with severe bleeding events.
Compared to comprehensive nephrometry systems, basic tumor measurements (diameter and depth) effectively anticipate bleeding risks. These straightforward parameters enable clinicians to identify high-risk patients and initiate preventive measures.
机器人辅助部分肾切除术已成为治疗局限性肾癌的标准外科手术,出血风险是主要的临床考虑因素。本研究旨在建立与出血相关不良事件的简单预测指标。
我们对在一家单一的三级医疗中心接受机器人辅助部分肾切除术的连续患者进行了回顾性研究。分析患者记录和影像学研究以获取临床参数。由一位经验丰富的放射科医生评估肿瘤特征(大小、浸润深度和标准化肾计量评分)。与出血相关的结果包括手术失血量、输血需求、再次手术以及血管造影干预的必要性。对出血事件的预测因素进行了统计学检验。
该研究纳入了260名参与者。肾计量评分中位数分别为8.5(帕多瓦评分)和7.0(RENAL评分)。平均肿瘤大小为39.1毫米,平均浸润深度为2.02毫米,肾缺血持续时间中位数为25.5分钟。平均手术出血量为147毫升。12.7%的病例接受了输血,3.5%发生了严重出血并发症。肿瘤大小独立预测术中出血和输血需求,而浸润深度与严重出血事件密切相关。
与综合肾计量系统相比,基本的肿瘤测量(直径和深度)能有效预测出血风险。这些简单的参数使临床医生能够识别高危患者并采取预防措施。