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Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients

机译:自体荧光寿命增强现实技术作为人类患者实时机器人手术指导的一种手段

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摘要

Due to loss of tactile feedback the assessment of tumor margins during robotic surgery is based only on visual inspection, which is neither significantly sensitive nor specific. Here we demonstrate time-resolved fluorescence spectroscopy (TRFS) as a novel technique to complement the visual inspection of oral cancers during transoral robotic surgery (TORS) in real-time and without the need for exogenous contrast agents. TRFS enables identification of cancerous tissue by its distinct autofluorescence signature that is associated with the alteration of tissue structure and biochemical profile. A prototype TRFS instrument was integrated synergistically with the da Vinci Surgical robot and the combined system was validated in swine and human patients. Label-free and real-time assessment and visualization of tissue biochemical features during robotic surgery procedure, as demonstrated here, not only has the potential to improve the intraoperative decision making during TORS but also other robotic procedures without modification of conventional clinical protocols.
机译:由于失去触觉反馈,因此在机器人手术过程中对肿瘤边缘的评估仅基于视觉检查,这既不明显也不敏感。在这里,我们证明了时间分辨荧光光谱(TRFS)作为一种新技术,可以实时补充经口机器人手术(TORS)期间口腔癌的视觉检查,而无需使用外源性造影剂。 TRFS通过其与组织结构和生化特征改变相关的独特的自发荧光特征,能够识别癌变组织。原型TRFS仪器与da Vinci Surgical机器人协同集成,并且组合系统已在猪和人类患者中得到验证。如此处所示,在机器人手术过程中对组织生化特征进行无标签的实时评估和可视化,不仅具有改善TORS期间术中决策的潜力,而且在不修改常规临床规程的情况下也可以改善其他机器人程序。

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