预测机器人辅助肾肿瘤部分切除术的出血并发症:简化肿瘤直径和深度的风险评估。

IF 2.2 3区 医学 Q2 SURGERY
I-Hung Shao, Chung-Lin Lee, Yu-Hsiang Lin, Hsiang-Sheng Wang, Ming-Chien Chen, Ying-Hsu Chang, Ting-Wen Sheng, Liang-Kang Huang, Hung-Chen Kan, Chung-Yi Liu, Po-Hung Lin, Kai-Jie Yu, Cheng-Keng Chuang, See-Tong Pang, Chun-Te Wu
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引用次数: 0

摘要

目的:机器人辅助部分肾切除术已成为治疗局部肾癌的标准手术方法,出血风险是主要的临床考虑因素。本研究旨在建立出血相关不良事件的简单预测指标。材料和方法:我们对在单一三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回顾。分析患者记录和x线片研究以获得临床参数。肿瘤特征(大小、浸润深度和标准化肾测量)由经验丰富的放射科医生评估。出血相关的结果包括手术失血、输血要求、再手术和血管造影干预的需要。对出血事件的预测因素进行统计学检查。结果:该研究包括260名参与者。肾脏测量评分中位数为8.5 (PADUA)和7.0 (RENAL)。肿瘤平均大小39.1 mm,平均穿透深度2.02 mm,中位肾缺血持续时间25.5 min,平均手术出血量147 ml。12.7%的病例接受输血,3.5%的病例出现明显的出血并发症。肿瘤大小独立预测术中出血和输血需求,而侵袭深度与严重出血事件密切相关。结论:与综合肾脏测量系统相比,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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting hemorrhagic complications in robotic-assisted partial nephrectomy for renal tumors: simplifying risk assessment with tumor diameter and depth.

Purpose: 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.

Materials and methods: 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.

Results: 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.

Conclusions: 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.

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来源期刊
CiteScore
4.20
自引率
8.70%
发文量
145
期刊介绍: The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.
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