Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Department of Surgery and Cancer, Imperial College London, London, UK.
Sci Rep. 2024 Jan 10;14(1):1027. doi: 10.1038/s41598-023-50942-3.
Instantaneous, continuous, and reliable information on the molecular biology of surgical target tissue could significantly contribute to the precision, safety, and speed of the intervention. In this work, we introduced a methodology for chemical tissue identification in robotic surgery using rapid evaporative ionisation mass spectrometry. We developed a surgical aerosol evacuation system that is compatible with a robotic platform enabling consistent intraoperative sample collection and assessed the feasibility of this platform during head and neck surgical cases, using two different surgical energy devices. Our data showed specific, characteristic lipid profiles associated with the tissue type including various ceramides, glycerophospholipids, and glycerolipids, as well as different ion formation mechanisms based on the energy device used. This platform allows continuous and accurate intraoperative mass spectrometry-based identification of ablated/resected tissue and in combination with robotic registration of images, time, and anatomical positions can improve the current robot-assisted surgical platforms and guide surgical strategy.
即时、连续和可靠的手术靶组织分子生物学信息可以显著提高干预的精确性、安全性和速度。在这项工作中，我们引入了一种使用快速蒸发离子化质谱法对机器人手术中的化学组织进行识别的方法。我们开发了一种与机器人平台兼容的外科气溶胶清除系统，能够在头颈部手术中使用两种不同的手术能量设备进行一致的术中样本收集，并评估了该平台的可行性。我们的数据显示了与组织类型相关的特定、特征脂质谱，包括各种神经酰胺、甘油磷脂和甘油酯，以及基于使用的能量设备的不同离子形成机制。该平台允许对消融/切除组织进行连续和准确的基于质谱的术中识别，并与机器人注册的图像、时间和解剖位置相结合，可以改进当前的机器人辅助手术平台并指导手术策略。
