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Lymph node characterization in vivo using endoscopic ultrasound spectrum analysis with electronic array echo endoscopes

机译:淋巴结表征体内使用具有电子阵列回波内窥镜内镜超声频谱分析

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摘要

Our purpose was to demonstrate the use of radio-frequency spectral analysis to distinguish between benign and malignant lymph nodes with data obtained using electronic array echo endo-scopes, as we have done previously using mechanical echo endoscopes. In a prospective study, images were obtained from eight patients with benign-appearing lymph nodes and 11 with malignant lymph nodes, as verified by fine-needle aspiration. Midband fit, slope, intercept, correlation coefficient, and root-mean-square (RMS) deviation from a linear regression of the calibrated power spectra were determined and compared between the groups. Significant differences were observable for mean midband fit, intercept, and RMS deviation (t test P<0.05). For benign (n=16) vs. malignant (n=12) lymph nodes, midband fit and RMS deviation provided classification with 89% accuracy and area under receiver operating characteristic (ROC) curve of 0.95 based on linear discriminant analysis. We concluded that the mean spectral parameters of the backscattered signals from electronic array echo endoscopy can provide a noninvasive method to quantitatively discriminate between benign and malignant lymph nodes.
机译:我们的目的是展示使用射频光谱分析来区分使用电子阵列回波内部范围获得的数据的良性和恶性淋巴结,如前所述使用机械回波内窥镜。在一个前瞻性研究中,从八个良性淋巴结患者和11例患者获得了恶性淋巴结的患者,如细针吸入所验证。确定与校准功率谱的线性回归的中频拟合,斜率,截距,相关系数和根均线(RMS)偏差在组之间进行比较。对于平均密带拟合,截距和RMS偏差,可观察到显着差异(T检验P <0.05)。对于良性(n = 16)与恶性(n = 12)淋巴结,MIDBARE FIT和RMS偏差为基于线性判别分析的接收器操作特性(ROC)曲线下的89%精度和面积进行了分类。我们得出结论,来自电子阵列回声内窥镜检查的反向散射信号的平均光谱参数可以提供无侵入性的方法,以定量区分良性和恶性淋巴结。

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