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Detection of high-risk atherosclerotic lesions by time-resolved fluorescence spectroscopy based on the Laguerre deconvolution technique

机译:基于Laguerre Deconvolulate技术的时间分辨荧光光谱检测高危动脉粥样硬化病变

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This study introduces new methods of time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) data analysis for tissue characterization. These analytical methods were applied for the detection of atherosclerotic vulnerable plaques. Upon pulsed nitrogen laser (337 nm, 1 ns) excitation, TR-LIFS measurements were obtained from carotid atherosclerotic plaque specimens (57 endarteroctomy patients) at 492 distinct areas. The emission was both spectrally-(360-600 nm range at 5 nm interval) and temporally-(0.3 ns resolution) resolved using a prototype clinically compatible fiber-optic catheter TR-LIFS apparatus. The TR-LIFS measurements were subsequently analyzed using a standard multiexponential deconvolution and a recently introduced Laguerre deconvolution technique. Based on their histopathology, the lesions were classified as early (thin intima), fibrotic (collagen-rich intima), and high-risk (thin cap over necrotic core and/or inflamed intima). Stepwise linear discriminant analysis (SLDA) was applied for lesion classification. Normalized spectral intensity values and Laguerre expansion coefficients (LEC) at discrete emission wavelengths (390, 450, 500 and 550 nm) were used as features for classification. The Laguerre based SLDA classifier provided discrimination of high-risk lesions with high sensitivity (SE>81%) and specificity (SP>95%). Based on these findings, we believe that TR-LIFS information derived from the Laguerre expansion coefficients can provide a valuable additional dimension for the diagnosis of high-risk vulnerable atherosclerotic plaques.
机译:本研究中引入了对组织表征时间分辨激光诱导荧光光谱(TR-LIFS)的数据分析的新方法。这些分析方法应用于用于检测动脉粥样硬化易损斑块。一旦脉冲氮激光器(337纳米,1纳秒)的激发,从颈动脉粥样硬化斑块样品(57 endarteroctomy例)在492个不同的区域而获得TR-LIFS测量。发射是使用原型临床兼容光纤导管TR-LIFS设备分辨两者spectrally-(360-600纳米范围内以5nm的间隔)和temporally-(0.3纳秒的分辨率)。使用标准的多指数去卷积和最近推出的拉盖尔去卷积技术的TR-LIFS测量随后分析。基于它们的组织病理学,病灶被归类为早(薄内膜),纤维化(富含胶原蛋白的内膜),和高风险(薄帽超过坏死核心和/或发炎的内膜)。逐步线性判别分析(SLDA)涂敷了用于病变分类。归一化光谱强度值和在离散的发射波长(390,450,500和550nm)的拉盖尔膨胀系数(LEC)被用作特征分类。提供高风险病变以高灵敏度(SE> 81%)和特异性(SP> 95%)的鉴别基于拉盖尔SLDA分类器。基于这些发现,我们认为,从拉盖尔膨胀系数得出TR-LIFS信息可以提供高风险的脆弱的粥样硬化斑块的诊断有价值的额外维度。

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