Interventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Int J Comput Assist Radiol Surg. 2022 Oct;17(10):1775-1785. doi: 10.1007/s11548-022-02719-8. Epub 2022 Aug 7.
Navigational strategies create a scenario whereby percutaneous needle-based interventions of the liver can be guided using both pre-interventional 3D imaging datasets and dynamic interventional ultrasound (US). To score how such technologies impact the needle placement process, we performed kinematic analysis on different user groups.
Using a custom biopsy phantom, three consecutive exercises were performed by both novices and experts (n = 26). The exercise came in three options: (1) US-guidance, (2) US-guidance with pre-interventional image-registration (US + Reg) and (3) US-guidance with pre-interventional image-registration and needle-navigation (US + Reg + Nav). The traveled paths of the needle were digitized in 3D. Using custom software algorithms, kinematic metrics were extracted and related to dexterity, decision making indices to obtain overall performance scores (PS).
Kinematic analysis helped quantifying the visual assessment of the needle trajectories. Compared to US-guidance, novices yielded most improvements using Reg (PS = 0.43 vs. PS = 0.57 vs. PS = 0.51). Interestingly, the expert group yielded a reversed trend (PS = 0.71 vs PS = 0.58 vs PS = 0.59).
Digitizing the movement trajectory allowed us to objectively assess the impact of needle-navigation strategies on percutaneous procedures. In particular, our findings suggest that these advanced technologies have a positive impact on the kinematics derived performance of novices.
导航策略创建了一种场景,通过该场景可以使用术前 3D 成像数据集和动态介入超声(US)来引导肝脏的经皮针基于干预。为了评估这些技术如何影响针放置过程,我们对不同的用户组进行了运动学分析。
使用定制的活检体模,新手和专家(n=26)连续进行了三项练习。练习有三种选择:(1)US 引导,(2)US 引导加术前图像配准(US+Reg),(3)US 引导加术前图像配准和针导航(US+Reg+Nav)。将针的行进路径以 3D 形式数字化。使用定制的软件算法,提取运动学指标,并与灵巧性、决策制定指标相关联,以获得整体绩效评分(PS)。
运动学分析有助于量化对针轨迹的视觉评估。与 US 引导相比,Reg 的使用使新手获得了最大的改善(PS=0.43 比 PS=0.57 比 PS=0.51)。有趣的是,专家组则呈现出相反的趋势(PS=0.71 比 PS=0.58 比 PS=0.59)。
数字化运动轨迹使我们能够客观地评估针导航策略对经皮手术的影响。特别是,我们的发现表明,这些先进技术对新手的运动学衍生性能具有积极影响。