Computer Integrated Surgical Systems and Technology Engineering Research Center (CISST ERC), Johns Hopkins University, Baltimore, MD 21218, USA.
Wilmer Eye Institute, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Sensors (Basel). 2017 Sep 23;17(10):2195. doi: 10.3390/s17102195.
Retinal vein cannulation is a technically demanding surgical procedure where therapeutic agents are injected into the retinal veins to treat occlusions. The clinical feasibility of this approach has been largely limited by the technical challenges associated with performing the procedure. Among the challenges to successful vein cannulation are identifying the moment of venous puncture, achieving cannulation of the micro-vessel, and maintaining cannulation throughout drug delivery. Recent advances in medical robotics and sensing of tool-tissue interaction forces have the potential to address each of these challenges as well as to prevent tissue trauma, minimize complications, diminish surgeon effort, and ultimately promote successful retinal vein cannulation. In this paper, we develop an assistive system combining a handheld micromanipulator, called "Micron", with a force-sensing microneedle. Using this system, we examine two distinct methods of precisely detecting the instant of venous puncture. This is based on measured tool-tissue interaction forces and also the tracked position of the needle tip. In addition to the existing tremor canceling function of Micron, a new control method is implemented to actively compensate unintended movements of the operator, and to keep the cannulation device securely inside the vein following cannulation. To demonstrate the capabilities and performance of our uniquely upgraded system, we present a multi-user artificial phantom study with subjects from three different surgical skill levels. Results show that our puncture detection algorithm, when combined with the active positive holding feature enables sustained cannulation which is most evident in smaller veins. Notable is that the active holding function significantly attenuates tool motion in the vein, thereby reduces the trauma during cannulation.
视网膜静脉插管是一项技术要求很高的手术,通过将治疗药物注入视网膜静脉以治疗阻塞。这种方法的临床可行性在很大程度上受到执行该手术的技术挑战的限制。成功进行静脉插管的挑战包括确定静脉穿刺的时刻、实现微血管插管以及在药物输送过程中保持插管。医学机器人和工具-组织相互作用力感测的最新进展有可能解决这些挑战,防止组织创伤,最大限度地减少并发症,减少外科医生的工作量,最终促进成功的视网膜静脉插管。在本文中,我们开发了一个辅助系统,该系统将一种名为“Micron”的手持微操纵器与力感测微针结合在一起。使用该系统,我们检查了两种精确检测静脉穿刺瞬间的不同方法。这基于测量的工具-组织相互作用力和针尖的跟踪位置。除了 Micron 的现有震颤消除功能外,还实现了一种新的控制方法,以主动补偿操作员的意外运动,并在插管后将插管装置安全地保持在静脉内。为了展示我们独特升级系统的功能和性能,我们进行了一项多用户人工幻影研究,参与者来自三个不同的手术技能水平。结果表明,我们的穿刺检测算法,当与主动正向保持功能结合使用时,能够实现持续的插管,在较小的静脉中最为明显。值得注意的是,主动保持功能显著减轻了工具在静脉中的运动,从而减少了插管过程中的创伤。