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利用高频超声信号统计监测细胞结构变化。

Monitoring structural changes in cells with high-frequency ultrasound signal statistics.

作者信息

Tunis A S, Czarnota G J, Giles A, Sherar M D, Hunt J W, Kolios M C

机构信息

Department of Medical Biophysics, University of Toronto, Toronto, ONT, Canada.

出版信息

Ultrasound Med Biol. 2005 Aug;31(8):1041-9. doi: 10.1016/j.ultrasmedbio.2005.04.020.

Abstract

We investigate the use of signal envelope statistics to monitor and quantify structural changes during cell death using an in vitro cell model. Using a f/2.35 transducer (center frequency 20 MHz), ultrasound backscatter data were obtained from pellets of acute myeloid leukemia cells treated with a DNA-intercolating chemotherapy drug, as well as from pellets formed with mixtures of treated and untreated cells. Simulations of signals from pellets of mixtures of cells were generated as a summation of point scatterers. The signal envelope statistics were examined by fitting the Rayleigh and generalized gamma distributions. The fit parameters of the generalized gamma distribution showed sensitivity to structural changes in the cells. The scale parameter showed a 200% increase (p<0.05) between untreated and cells treated for 24 h. The shape parameter showed a 50% increase (p<0.05) over 24 h. Experimental results showed reasonable agreement with simulations. The results indicate that high-frequency ultrasound signal statistics can be used to monitor structural changes within a very low percentage of treated cells in a population, raising the possibility of using this technique in vivo.

摘要

我们使用体外细胞模型研究了信号包络统计量在监测和量化细胞死亡过程中结构变化方面的应用。使用f/2.35换能器(中心频率20 MHz),从经DNA嵌入化疗药物处理的急性髓性白血病细胞团块以及由处理过和未处理过的细胞混合物形成的团块中获取超声背散射数据。细胞混合物团块信号的模拟是通过点散射体的叠加产生的。通过拟合瑞利分布和广义伽马分布来检验信号包络统计量。广义伽马分布的拟合参数对细胞结构变化表现出敏感性。尺度参数在未处理细胞和处理24小时的细胞之间显示出200%的增加(p<0.05)。形状参数在24小时内增加了50%(p<0.05)。实验结果与模拟结果显示出合理的一致性。结果表明,高频超声信号统计量可用于监测群体中极低比例处理细胞内的结构变化,这增加了在体内使用该技术的可能性。

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