目的:探讨CT灌注扫描在肾癌(RCC)根治术前健侧肾功能评价中的应用价值。方法:37例RCC患者1周内分别行CT灌注扫描和99m Tc-DTPA肾动态核素显像,将健侧肾脏分肾GFR<35 m L/min病例列为研究组。结果:(1)研究组与对照组患者健侧肾皮质CT...目的:探讨CT灌注扫描在肾癌(RCC)根治术前健侧肾功能评价中的应用价值。方法:37例RCC患者1周内分别行CT灌注扫描和99m Tc-DTPA肾动态核素显像,将健侧肾脏分肾GFR<35 m L/min病例列为研究组。结果:(1)研究组与对照组患者健侧肾皮质CT灌注参数之间差异均有统计学意义(P<0.05);(2)研究组健侧肾皮质灌注参数BF、PS与GFR具有较好的一致性;(3)研究组健侧肾皮质灌注参数均与GFR呈正相关性(P<0.05)。结论:CT灌注扫描与99m Tc-DTPA肾动态核素显像评价肾功能具有较好的一致性和正相关性,可用于RCC患者术前评价健侧肾功能的评价。展开更多
The DNP-enhanced NMR experiment was performed on the DBf samples doped with free radicals. The experimental results show that it becomes very easy to perform the complicateNMR experments under DNP enhancement. For the...The DNP-enhanced NMR experiment was performed on the DBf samples doped with free radicals. The experimental results show that it becomes very easy to perform the complicateNMR experments under DNP enhancement. For the sample whose spin lattice relaxation is very slow, if it is doped with appropriae quantity free radicals.展开更多
针对传统的动态核主成分分析(dynamic kernel principal component analysis,DKPCA)用于大样本数据集的故障检测时,占用计算机内存大、计算复杂度高等不足,提出一种基于特征子空间的DKPCA算法(EFS-DKPCA)。该方法通过构建具有较小维数...针对传统的动态核主成分分析(dynamic kernel principal component analysis,DKPCA)用于大样本数据集的故障检测时,占用计算机内存大、计算复杂度高等不足,提出一种基于特征子空间的DKPCA算法(EFS-DKPCA)。该方法通过构建具有较小维数特征子空间上的正交基来简化核矩阵K,从而降低DKPCA的计算复杂性。与DKPCA方法相比,该方法具有更高的计算效率,且只需较小的计算机存储空间。将该方法应用于TE(tennessee eastman)过程,仿真结果显示,两者诊断结果大致相同,而所需时间大大减小,说明了本算法的有效性。展开更多
文摘目的:探讨CT灌注扫描在肾癌(RCC)根治术前健侧肾功能评价中的应用价值。方法:37例RCC患者1周内分别行CT灌注扫描和99m Tc-DTPA肾动态核素显像,将健侧肾脏分肾GFR<35 m L/min病例列为研究组。结果:(1)研究组与对照组患者健侧肾皮质CT灌注参数之间差异均有统计学意义(P<0.05);(2)研究组健侧肾皮质灌注参数BF、PS与GFR具有较好的一致性;(3)研究组健侧肾皮质灌注参数均与GFR呈正相关性(P<0.05)。结论:CT灌注扫描与99m Tc-DTPA肾动态核素显像评价肾功能具有较好的一致性和正相关性,可用于RCC患者术前评价健侧肾功能的评价。
文摘The DNP-enhanced NMR experiment was performed on the DBf samples doped with free radicals. The experimental results show that it becomes very easy to perform the complicateNMR experments under DNP enhancement. For the sample whose spin lattice relaxation is very slow, if it is doped with appropriae quantity free radicals.
基金Supported by the National Key Research and Development Program of China(2017YFA0701000)the Fundamental Research Funds for the Central Universities(A03018023601003)
