Abstract：
Gliomas are the most common type of primary tumor originating in the central nervous system of adults. Tumor histological type, pathological grade, and molecular pathology are significant prognosis and predictive factors. In this study, we were aiming to predict histological type and molecular pathological features based on terahertz time-domain spectroscopy technology. Nine gliomas with different grades, one meningioma, and one lymphoma were enrolled. There were significant differences in terahertz absorption coefficient between normal brain tissue, tumoral-periphery, and tumoral-center tissue in specific frequency bands (0.2-1.4 THz). Histological type, pathological grade, and glioma-specific biomarkers were closely related to the terahertz absorption coefficient in both tumoral-periphery and tumoral-center tissues. Interestingly, tumoral-periphery showed more obvious differences than tumoral-center tissues in almost all aspects. All the results show that the terahertz technology has potential application value in the intraoperative real-time glioma recognition and diagnosis of glioma histological and molecular pathological features.
摘要：
胶质瘤是起源于成人中枢神经系统的原发性肿瘤的最常见类型。肿瘤组织学类型，病理分级,和分子病理学是重要的预后和预测因素。在这项研究中,我们的目标是基于太赫兹时域光谱技术预测组织学类型和分子病理特征。9个不同等级的胶质瘤，一个脑膜瘤,纳入1例淋巴瘤。正常脑组织太赫兹吸收系数存在显著差异,肿瘤-外围，和特定频段（0.2-1.4THz）的肿瘤中心组织。组织学类型,病理分级,胶质瘤特异性生物标志物与肿瘤周边组织和肿瘤中心组织的太赫兹吸收系数密切相关。有趣的是,在几乎所有方面，肿瘤外周组织均比肿瘤中心组织表现出更明显的差异。所有研究结果表明,太赫兹技术在术中实时识别和诊断胶质瘤的组织学和分子病理学特征方面具有潜在的应用价值。
