Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada.
Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada.
World Neurosurg. 2020 Dec;144:e62-e71. doi: 10.1016/j.wneu.2020.07.209. Epub 2020 Aug 3.
The operative environment poses many challenges to studying the relationship between surgical acts and patient outcomes in intracranial oncological neurosurgery. We sought to develop a framework in which neurosurgical performance and extent of resection could be precisely quantified in a controlled setting.
The stiffness of an alginate hydrogel-based tumor was modified with differing concentrations of the cross-linking agent calcium sulfate until biomechanical properties similar to those of human primary brain tumors measured at resection were achieved. The artificial tumor was subsequently incorporated into an ex-vivo animal brain as a final model. Magnetic resonance imaging enhancement and ultraviolet fluorescence was achieved by incorporating gadolinium and fluorescein solution, respectively. Video recordings from the operative microscope, ceiling cameras, and instrument-mounted fiducial markers within a surgical suite environment captured operative performance.
A total of 24 rheometer measurements were conducted on alginate hydrogels containing 10-, 11-, and 12-mM concentrations of calcium sulfate. Sixty-eight stiffness measurements were conducted on eight patient tumor samples. No differences were found between the alginate and brain tumor stiffness values [Kruskal-Wallis χ(4) = 9.187; P = 0.057]. Tumor was identified using ultraviolet fluorescence and ultrasonography. The volume and location of the resected white and gray matter and residual tumor could be quantified in 0.003-mm increments using a 7T magnetic resonance imaging coil. Ultrasonic aspirator and bipolar electrocautery movement data were successfully transformed into performance metrics.
The developed framework can offer clinicians, learners, and researchers the ability to perform operative rehearsal, teaching, and studies involving brain tumor surgery in a controlled laboratory environment and represents a crucial step in the understanding and training of expertise in neurosurgery.
手术环境给研究颅内肿瘤神经外科手术行为与患者结局之间的关系带来了诸多挑战。我们试图开发一种框架,以便在受控环境中精确量化神经外科手术表现和切除范围。
通过改变不同浓度的交联剂硫酸钙,改变藻酸盐水凝胶基肿瘤的硬度,直到达到与在切除时测量的人类原发性脑肿瘤相似的生物力学特性。随后,将人工肿瘤作为最终模型纳入离体动物大脑中。通过分别掺入钆和荧光素溶液,实现磁共振成像增强和紫外线荧光。手术显微镜、天花板摄像机和手术室内仪器安装的基准标记的视频记录捕获手术表现。
共对含有 10、11 和 12mM 硫酸钙浓度的藻酸盐水凝胶进行了 24 次流变仪测量。对 8 个患者肿瘤样本进行了 68 次硬度测量。藻酸盐和脑肿瘤硬度值之间没有差异[Kruskal-Wallis χ(4) = 9.187;P = 0.057]。使用紫外线荧光和超声来识别肿瘤。可以使用 7T 磁共振成像线圈以 0.003mm 的增量量化切除的白质和灰质以及残留肿瘤的体积和位置。超声吸引器和双极电凝的运动数据已成功转化为性能指标。
所开发的框架可为临床医生、学习者和研究人员提供在受控实验室环境中进行脑肿瘤手术操作演练、教学和研究的能力,代表了在神经外科专业知识理解和培训方面的重要一步。