Saeedi-Hosseiny Marzieh S, Rothenberg Hanna G, Jadallah Aziza L, Khaja Umar, Karimov Allen, Abedin-Nasab Mohammad H
Biomedical Engineering Department, Rowan University, Glassboro, NJ, USA.
Virtua Health College of Medicine and Life Sciences, Rowan University, Stratford, NJ, USA.
J Robot Surg. 2025 Jun 23;19(1):319. doi: 10.1007/s11701-025-02454-7.
Radiation time is a critical metric influencing safety for both healthcare providers and patients during minimally invasive orthopedic trauma surgeries. This meta-analysis aimed to compare total radiation time between robotic guidance and manual fluoroscopy, while also compiling global statistics on operative radiation exposure, associated health risks, and compliance with protective measures. Relevant comparative studies were identified through comprehensive searches in PubMed, Scopus, Web of Science, Medline, ClinicalKey, and Embase. Ten studies, encompassing 675 patients, met the inclusion criteria. Data on treatment groups, procedure success rates, robotic systems used, and other pertinent variables were systematically extracted and reviewed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A random-effects model in SPSS was applied to analyze total radiation time. Results revealed a significantly shorter radiation time with robotic guidance, supported by a robust effect size, fragility index, and fragility quotient. These findings suggest that robotic systems may offer significant safety advantages. Future research should explore the broader implementation of robotic guidance and its implications for patient and provider safety across various surgical fields.
在微创骨科创伤手术中,辐射时间是影响医护人员和患者安全的关键指标。本荟萃分析旨在比较机器人引导与手动透视的总辐射时间,同时汇总有关手术辐射暴露、相关健康风险以及防护措施依从性的全球统计数据。通过在PubMed、Scopus、Web of Science、Medline、ClinicalKey和Embase中进行全面检索,确定了相关的比较研究。十项研究,涵盖675名患者,符合纳入标准。按照系统评价和荟萃分析的首选报告项目(PRISMA)指南,系统地提取并审查了治疗组、手术成功率、使用的机器人系统以及其他相关变量的数据。应用SPSS中的随机效应模型分析总辐射时间。结果显示,机器人引导的辐射时间明显更短,效应量、脆弱性指数和脆弱性商数有力地支持了这一结果。这些发现表明,机器人系统可能具有显著的安全优势。未来的研究应探索机器人引导在更广泛范围内的应用及其对各个手术领域患者和医护人员安全的影响。