Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, the Netherlands.
Mol Imaging Biol. 2023 Feb;25(1):180-189. doi: 10.1007/s11307-022-01736-y. Epub 2022 Jun 16.
Surgical fluorescence guidance has gained popularity in various settings, e.g., minimally invasive robot-assisted laparoscopic surgery. In pursuit of novel receptor-targeted tracers, the field of fluorescence-guided surgery is currently moving toward increasingly lower signal intensities. This highlights the importance of understanding the impact of low fluorescence intensities on clinical decision making. This study uses kinematics to investigate the impact of signal-to-background ratios (SBR) on surgical performance.
Using a custom grid exercise containing hidden fluorescent targets, a da Vinci Xi robot with Firefly fluorescence endoscope and ProGrasp and Maryland forceps instruments, we studied how the participants' (N = 16) actions were influenced by the fluorescent SBR. To monitor the surgeon's actions, the surgical instrument tip was tracked using a custom video-based tracking framework. The digitized instrument tracks were then subjected to multi-parametric kinematic analysis, allowing for the isolation of various metrics (e.g., velocity, jerkiness, tortuosity). These were incorporated in scores for dexterity (Dx), decision making (DM), overall performance (PS) and proficiency. All were related to the SBR values.
Multi-parametric analysis showed that task completion time, time spent in fluorescence-imaging mode and total pathlength are metrics that are directly related to the SBR. Below SBR 1.5, these values substantially increased, and handling errors became more frequent. The difference in Dx and DM between the targets that gave SBR < 1.50 and SBR > 1.50, indicates that the latter group generally yields a 2.5-fold higher Dx value and a threefold higher DM value. As these values provide the basis for the PS score, proficiency could only be achieved at SBR > 1.55.
By tracking the surgical instruments we were able to, for the first time, quantitatively and objectively assess how the instrument positioning is impacted by fluorescent SBR. Our findings suggest that in ideal situations a minimum SBR of 1.5 is required to discriminate fluorescent lesions, a substantially lower value than the SBR 2 often reported in literature.
手术荧光引导在各种环境中越来越受欢迎,例如微创机器人辅助腹腔镜手术。为了寻求新的受体靶向示踪剂,荧光引导手术领域目前正朝着越来越低的荧光强度发展。这凸显了了解低荧光强度对临床决策的影响的重要性。本研究使用运动学来研究信号与背景比(SBR)对手术性能的影响。
使用包含隐藏荧光目标的定制网格练习,我们使用配备 Firefly 荧光内窥镜和 ProGrasp 及 Maryland 夹钳器械的达芬奇 Xi 机器人,研究参与者(N=16)的动作如何受到荧光 SBR 的影响。为了监测外科医生的动作,使用定制的基于视频的跟踪框架跟踪手术器械尖端。然后,对数字化器械轨迹进行多参数运动学分析,以分离各种度量标准(例如速度、急动度、曲折度)。这些度量标准被纳入灵巧度(Dx)、决策(DM)、整体表现(PS)和熟练程度评分中。所有这些都与 SBR 值有关。
多参数分析表明,任务完成时间、荧光成像模式下花费的时间和总路径长度是与 SBR 直接相关的度量标准。在 SBR<1.5 以下,这些值大幅增加,并且处理错误变得更加频繁。SBR<1.50 和 SBR>1.50 的目标之间的 Dx 和 DM 差异表明,后者通常产生 2.5 倍更高的 Dx 值和 3 倍更高的 DM 值。由于这些值为 PS 评分提供了基础,因此只有在 SBR>1.55 时才能达到熟练程度。
通过跟踪手术器械,我们首次能够定量和客观地评估荧光 SBR 如何影响器械定位。我们的研究结果表明,在理想情况下,需要 1.5 的最小 SBR 来区分荧光病变,这比文献中经常报道的 2 的 SBR 值低得多。