The robot-assisted ureteral reconstruction in adult: A narrative review on the surgical techniques and contemporary outcomes
Seetharam Bhat, Márcio Covas Moschovas, Vipul Patel, Young Hwii Ko
- 发表年份
- 2020
- 引用次数
- 9
摘要
Despite the rapid increase in the use of robotic surgery in urology, the majority of ureteric reconstruction procedures are still performed using laparoscopic or open approaches. This is primarily due to uncertainty regarding the advantages of robotic approaches over conventional ones, and the unique difficulty in identifying the specific area of interest due to the lack of tactile feedback from the current robotic systems. However, with the potential benefits of minimal invasiveness, several pioneering reports have been published on robotic surgery in urology. By reviewing the literature on this topic, we aimed to summarize the techniques, considerations, and consistent findings regarding robotic ureteral reconstruction in adults. Robotic applications for ureteral surgery have been primarily reported for pediatric urology, especially in the context of relieving a congenital obstruction in the ureteral pelvic junction. However, contemporary studies have also consistently demonstrated that robotic surgery could be a reliable option for malignant, iatrogenic, and traumatic conditions, which generally occur in adult patients. Nevertheless, the lack of comparative studies on heterogeneous hosts and disease conditions make it difficult to determine the benefit of the robotic approach over the conventional approach in the general population; thus, qualified prospective trials are needed for wider acceptance. However, contemporary reports have demonstrated that the robotic approach could be an alternative option for ureteral construction, even in the absence of haptic feedback, which can be compensated by various surgical techniques and enhanced three-dimensional visualization.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002