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In vivo multimodal fibre-probe spectroscopy for glioblastoma detection in mouse model

机译:在小鼠模型中胶质母细胞瘤检测的体内多模式纤维探针光谱

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Glioblastoma (GBM) is the most common and aggressive malignant brain tumour in adults. Patient survival rates are strongly dependent on the successfully resection of the tumour. In this framework, multimodal optical spectroscopy could provide a fast and label-free tool for improving tumour detection and guiding the removal of diseased tissue. In this study, we used an optical fibre-probe system combining multiple spectroscopic techniques for in vivo examination of normal and GBM tissues in mouse brain. Specifically, the probe - based on a fibre-bundle with optical fibres of various size and properties - allowed performing spectroscopic measurements based on fluorescence, Raman, and diffuse reflectance spectroscopy though two optical windows implanted on the head of each animal. Two visible laser diodes were used for fluorescence spectroscopy, a laser diode emitting in the NIR was used for Raman spectroscopy, and a fibre-coupled halogen lamp for diffuse reflectance. All spectral recordings were done when the animals were anesthetized; optical inspection required less than 4 minutes for each animal. The recorded data were analysed using Principal Component Analysis (PCA) for obtaining an automated classification of the examined tissues based on the intrinsic spectral information provided by Raman and reflectance spectroscopy. The presented method demonstrated high sensitivity and specificity in discriminating GBM from normal brain. Furthermore, we found that the multimodal approach is crucial for improving diagnostic capabilities beyond what can be achieved from individual techniques.
机译:胶质母细胞瘤(GBM)是最常见的和积极的成人恶性脑瘤。患者存活率很大程度上取决于成功地切除肿瘤。在此框架下,多峰光学光谱可以提供用于改进肿瘤检测和引导切除病变组织的快速和无标记的工具。在这项研究中,我们使用的光纤探头系统,用于在小鼠大脑正常和GBM组织的体内检查组合多个光谱技术。具体地,探针 - 基于纤维束具有各种尺寸和特性的光纤 - 允许基于荧光,拉曼光谱进行测量,以及漫反射光谱虽然植入每只动物的头两个光学窗口。两个可见激光二极管被用于荧光光谱中,使用激光二极管发射的NIR对于拉曼光谱,和对漫反射的光纤耦合卤素灯。所有光谱记录是时候做动物麻醉;光学检查需要不到4分钟对每个动物。使用主成分分析(PCA),用于获得基于由拉曼和反射光谱所提供的固有的光谱信息被检查的组织的自动分类所记录的数据进行分析。所提出的方法表现出高灵敏度和特异性在从正常脑区分GBM。此外,我们发现,多途径是提高诊断能力超出了可以从个人技术来实现的关键。

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