Assessing spectral algorithms to predict atherosclerotic plaque composition with normalized and raw intravascular ultrasound data
Assessing spectral algorithms to predict atherosclerotic plaque composition with normalized and raw intravascular ultrasound data
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DOI：
10.1016/s0301-5629(01)00436-7
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发表时间：
2001-10-01
影响因子：
2.9
通讯作者：
Vince, DG
中科院分区：
文献类型：
--
作者：
Nair, A;Kuban, BD;Vince, DG
后向散射血管内超声（IVUS）数据的光谱分析已经证明了表征斑块的能力。我们比较了通过经典傅立叶变换（CPSD）、韦尔奇功率谱（WPSD）和自回归（MPSD）模型计算的光谱参数（如斜率、中带拟合和y截距）对斑块组成进行分类的能力。从32条人左冠状动脉前降支中采集离体数据，从组织学中选择感兴趣区域（roi），包括64个富含胶原的区域，24个纤维脂质区，23个钙化区和37个钙化坏死区。一种新的定量方法用于将IVUS数据与相应的组织学切片相关联。每个ROI识别的IVUS样品的周期图用于计算光谱参数。统计分类树（CT）计算了75%的斑块特征数据。其余数据用于评估ct的准确性。CPSD、WPSD和MPSD的归一化光谱总体精度分别为84.7%、85.6%和81.1%（训练数据）和54.1%、64.9%和37.8%（测试数据）。当合并钙化区和钙化坏死区进行分析时，这些数字分别提高到89.2%、91.9%和89.2%（训练）和62.2%、73%和59.5%（测试）。大多数ct错误地将一些纤维脂质区域分类为胶原蛋白，这在组织学上是可以接受的，并且非归一化和归一化光谱结果相似。(C) 2001年世界超声医学与生物学联合会。
Spectral analysis of backscattered intravascular ultrasound (IVUS) data has demonstrated the ability to characterize plaque. We compared the ability of spectral parameters (e.g., slope, midband fit and y-intereept), computed via classic Fourier transform (CPSD), Welch power spectrum (WPSD) and autoregressive (MPSD) models, to classify plaque composition. Data were collected ex vivo from 32 human left anterior descending coronary arteries, Regions-of-interest (ROIs), selected from histology, comprised 64 collagen-rich, 24 fibrolipidic, 23 calcified and 37 calcified-necrotic regions. A novel quantitative method was used to correlate IVUS data with corresponding histologic sections. Periodograms of IVUS samples, identified for each ROI, were used to calculate spectral parameters. Statistical classification trees (CT) were computed with 75% of the data for plaque characterization. The remaining data were used to assess the accuracy of the CTs. The overall accuracies for normalized spectra with CPSD, WPSD and MPSD were, respectively, 84.7%, 85.6% and 81.1% (training data) and 54.1%, 64.9% and 37.8% (test data). These numbers were improved to 89.2%, 91.9% and 89.2% (training) and 62.2%, 73% and 59.5% (test) when the calcified and calcified-necrotic regions were combined for analysis. Most CTs misclassified a few fibrolipidic regions as collagen, which is histologically acceptable, and the unnormalized and normalized spectra results were similar. (C) 2001 World Federation for Ultrasound in Medicine & Biology.