Buyck Félix, Vandemeulebroucke Jef, Dirks Ine, Cornelius Jan Frederick, Duerinck Johnny, Froelich Sebastien, Schroeder Henry, Geens Wietse, Van Gestel Frederick, Bruneau Michaël
Department of Neurosurgery, Universitair Ziekenhuis Brussel (UZ Brussel), 1090, Brussels, Belgium.
Vrije Universiteit Brussel (VUB), Research group Center for Neurosciences (C4N-NEUR), 1090, Brussels, Belgium.
Brain Spine. 2025 May 21;5:104284. doi: 10.1016/j.bas.2025.104284. eCollection 2025.
Understanding the factors that contribute to efficient surgical behaviour and the prevention of technical errors poses a significant challenge in neurosurgery. Current training curricula lack proficiency-centred training and objective tools to assess surgical performance, leading to considerable variability in surgical competencies and practices among neurosurgeons. This study aims to evaluate the determinants of proficient surgical behaviour exhibited by expert surgeons, with the goal of establishing a set of surgical performance metrics serving as a foundation for objective assessment and benchmarking of surgical performance.
Eight aneurysm clipping cases by three senior neurosurgeons were recorded via a surgical microscope. Surgeons' actions, workflow parameters, and adverse events during Sylvian fissure dissection were catalogued into Surgical Process Models (SPMs). Performance metrics were extracted, compared, and analysed using clustering analysis to assess proficiency differences.
23 parameters were identified as potential metrics of surgical proficiency. Proficient surgeons exhibited predominant bimanual activity, optimal non-dominant hand use, a limited tool repertoire, minimal instrument changes, and efficient microscope use with minimal adjustments. Despite varying instrument and microscope usage, practitioners achieved consistent outcomes across metrics, indicating similar surgical proficiency.
Findings illustrate that performance metrics derived from surgical video analysis can reliably contribute to the assessment of surgical skills. SPMs offer a structured understanding of the factors that contribute to surgical proficiency. This approach provides an optimal framework for objective assessment of performance metrics, demonstrating potential for automated and objective analysis of surgical performance.
了解有助于高效手术操作及预防技术失误的因素是神经外科面临的一项重大挑战。当前的培训课程缺乏以熟练度为中心的培训以及评估手术表现的客观工具,导致神经外科医生的手术能力和操作存在很大差异。本研究旨在评估专家外科医生所展现的熟练手术行为的决定因素,目标是建立一套手术表现指标,为手术表现的客观评估和基准设定奠定基础。
通过手术显微镜记录了三位资深神经外科医生的八例动脉瘤夹闭手术病例。将在外侧裂分离过程中外科医生的操作、工作流程参数及不良事件编入手术过程模型(SPM)。提取性能指标,使用聚类分析进行比较和分析,以评估熟练度差异。
确定了23个参数作为手术熟练度的潜在指标。熟练的外科医生表现出主要的双手活动、最佳的非优势手使用、有限的工具种类、最少的器械更换以及最少调整下的高效显微镜使用。尽管器械和显微镜的使用方式不同,但从业者在各项指标上都取得了一致的结果,表明手术熟练度相似。
研究结果表明,从手术视频分析中得出的性能指标能够可靠地有助于手术技能的评估。手术过程模型提供了对有助于手术熟练度的因素的结构化理解。这种方法为性能指标的客观评估提供了一个最佳框架,显示了对手术表现进行自动化和客观分析的潜力。