Diagnosis of meningioma by time-resolved fluorescence spectroscopy
Diagnosis of meningioma by time-resolved fluorescence spectroscopy
复制标题
DOI：
10.1117/1.2141624
复制
发表时间：
2005-11-01
影响因子：
3.5
通讯作者：
Marcu, L
中科院分区：
文献类型：
--
作者：
Butte, PV;Pikul, BK;Marcu, L
我们研究了使用时间分辨激光诱导荧光光谱(TR-LIF)作为术中快速评估肿瘤标本和从周围正常组织中勾画肿瘤的辅助工具。用脉冲氮激光(337 nm，1.2 ns)诱导组织自发荧光，并用快速数字化仪(0.2 ns分辨率)在370-500 nm光谱范围内记录强度衰减曲线。实验是在26例患者97个部位的切除标本(脑膜瘤、硬脑膜、大脑皮层)上进行的。从每个部位的时间分辨光谱中获得的光谱强度和时间相关参数被用于组织表征。采用线性判别分析算法进行组织分类。我们的结果显示，脑膜瘤具有独特的荧光特征，能够以高灵敏度(>；%)和特异度(100%)区分肿瘤和正常组织。当同时使用频谱和时间域参数进行区分时，分类准确率提高(训练集中92.8%的案例和交叉验证集中91.8%的正确分类)。我们的研究结果确立了使用TR-LIF作为脑膜瘤识别工具的可行性，并使进一步开发分析脑膜瘤或其他脑肿瘤手术组织标本的实时诊断工具成为可能。(C)2005年光学仪器工程师学会。
We investigate the use of time- resolved laser- induced fluorescence spectroscopy ( TR- LIFS ) as an adjunctive tool for the intraoperative rapid evaluation of tumor specimens and delineation of tumor from surrounding normal tissue. Tissue autofluorescence is induced with a pulsed nitrogen laser ( 337 nm, 1.2 ns ) and the intensity decay profiles are recorded in the 370 to 500 nm spectral range with a fast digitizer ( 0.2 ns resolution ). Experiments are conducted on excised specimens ( meningioma, dura mater, cerebral cortex ) from 26 patients ( 97 sites ). Spectral intensities and time- dependent parameters derived from the time- resolved spectra of each site are used for tissue characterization. A linear discriminant analysis algorithm is used for tissue classification. Our results reveal that meningioma is characterized by unique fluorescence characteristics that enable discrimination of tumor from normal tissue with high sensitivity ( > 89% ) and specificity ( 100% ). The accuracy of classification is found to increase ( 92.8% cases in the training set and 91.8% in the cross- validated set correctly classified ) when parameters from both the spectral and the time domain are used for discrimination. Our findings establish the feasibility of using TR- LIFS as a tool for the identification of meningiomas and enables further development of real- time diagnostic tools for analyzing surgical tissue specimens of meningioma or other brain tumors. (C) 2005 Society of Photo- Optical Instrumentation Engineers.