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荧光寿命光谱学在脑肿瘤引导治疗中的应用。

Fluorescence lifetime spectroscopy for guided therapy of brain tumors.

机构信息

Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

出版信息

Neuroimage. 2011 Jan;54 Suppl 1(Suppl 1):S125-35. doi: 10.1016/j.neuroimage.2010.11.001. Epub 2010 Nov 3.

Abstract

This study evaluates the potential of time-resolved laser induced fluorescence spectroscopy (TR-LIFS) as intra-operative tool for the delineation of brain tumor from normal brain. Forty two patients undergoing glioma (WHO grade I-IV) surgery were enrolled in this study. A TR-LIFS prototype apparatus (gated detection, fast digitizer) was used to induce in-vivo fluorescence using a pulsed N2 laser (337 nm excitation, 0.7 ns pulse width) and to record the time-resolved spectrum (360-550 nm range, 10 nm interval). The sites of TR-LIFS measurement were validated by conventional histopathology (H&E staining). Parameters derived from the TR-LIFS data including intensity values and time-resolved intensity decay features (average fluorescence lifetime and Laguerre coefficients values) were used for tissue characterization and classification. 71 areas of tumor and normal brain were analyzed. Several parameters allowed for the differentiation of distinct tissue types. For example, normal cortex (N=35) and normal white matter (N=12) exhibit a longer-lasting fluorescence emission at 390 nm (τ390=2.12±0.10 ns) when compared with 460 nm (τ460=1.16±0.08 ns). High grade glioma (grades III and IV) samples (N=17) demonstrate emission peaks at 460 nm, with large variation at 390 nm while low grade glioma (I and II) samples (N=7) demonstrated a peak fluorescence emission at 460 nm. A linear discriminant algorithm allowed for the classification of low-grade gliomas with 100% sensitivity and 98% specificity. High-grade glioma demonstrated a high degree of heterogeneity thus reducing the discrimination accuracy of these tumors to 47% sensitivity and 94% specificity. Current findings demonstrate that TR-LIFS holds the potential to diagnose brain tumors intra-operatively and to provide a valuable tool for aiding the neurosurgeon-neuropathologist team in to rapidly distinguish between tumor and normal brain during surgery.

摘要

本研究评估了时间分辨激光诱导荧光光谱(TR-LIFS)作为术中工具用于区分脑肿瘤与正常脑的潜力。本研究纳入了 42 名接受胶质瘤(WHO 分级 I-IV)手术的患者。使用 TR-LIFS 原型设备(门控检测,快速数字化仪),使用脉冲 N2 激光(337nm 激发,0.7ns 脉冲宽度)诱导体内荧光,并记录时间分辨光谱(360-550nm 范围,10nm 间隔)。TR-LIFS 测量部位通过常规组织病理学(H&E 染色)进行验证。从 TR-LIFS 数据中提取的参数,包括强度值和时间分辨强度衰减特征(平均荧光寿命和拉盖尔系数值),用于组织特征描述和分类。分析了 71 个肿瘤和正常脑组织区域。几个参数允许区分不同的组织类型。例如,正常皮质(N=35)和正常白质(N=12)在 390nm 处的荧光发射持续时间较长(τ390=2.12±0.10ns),而在 460nm 处的荧光发射持续时间较短(τ460=1.16±0.08ns)。高级别胶质瘤(III 和 IV 级)样本(N=17)显示在 460nm 处有发射峰,在 390nm 处有较大变化,而低级别胶质瘤(I 和 II 级)样本(N=7)在 460nm 处显示出最大荧光发射峰。线性判别算法允许以 100%的灵敏度和 98%的特异性对低级别胶质瘤进行分类。高级别胶质瘤表现出高度的异质性,从而降低了这些肿瘤的鉴别准确性,敏感性为 47%,特异性为 94%。目前的研究结果表明,TR-LIFS 具有在术中诊断脑肿瘤的潜力,并为神经外科医生-神经病理学家团队在手术中快速区分肿瘤和正常脑提供了有价值的工具。

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