目的:分析3D-C E U S在肝脏占位性变诊断中的临床应用价值.方法:选取我院在2018年3月至2019年3月期间收治的80例肝占位患者作为分析对象,根据肿瘤情况,即分为良性组和恶性组,良性组患者为31例,恶性组患者为49例.两组患者采用动态三维造...目的:分析3D-C E U S在肝脏占位性变诊断中的临床应用价值.方法:选取我院在2018年3月至2019年3月期间收治的80例肝占位患者作为分析对象,根据肿瘤情况,即分为良性组和恶性组,良性组患者为31例,恶性组患者为49例.两组患者采用动态三维造影检查,对占位性病灶的增强方式和病变血管形态的结果进行分析.结果:良性组主要以向心型增强为主,良性肿瘤供血血管走行较平直规则,以及小血管内部规则;恶性组患者主要以整体增强和环状增强为主,恶性肿瘤小血管或血管团行走扭曲,杂乱无序.因此,两组患者的结果差异,具有统计学意义(P<0.05).结论:采用动态三维超声造影对肝脏占位性病变的患者进行检查,能够明显、有效的诊断肝肿瘤的良恶性,提高了准确率,临床应大力推广.展开更多
Based on an available parking space occupancy （APSO） survey conducted in Nanjing, China, an APSO forecasting model is proposed. The APSO survey results indicate that the time series of APSO with different time-secti...Based on an available parking space occupancy （APSO） survey conducted in Nanjing, China, an APSO forecasting model is proposed. The APSO survey results indicate that the time series of APSO with different time-sections are periodical and self-similar, and the fluctuation of the APSO increases with the decrease in time-sections. Taking the short-time change behavior into account, an APSO forecasting model combined wavelet analysis and a weighted Markov chain is presented. In this model, an original APSO time series is first decomposed by wavelet analysis, and the results include low frequency signals representing the basic trends of APSO and several high frequency signals representing disturbances of the APSO. Then different Markov models are used to forecast the changes of low and high frequency signals, respectively. Finally, integrating the predicted results induces the final forecasted APSO. A case study verifies the applicability of the proposed model. The comparisons between measured and forecasted results show that the model is a competent model and its accuracy relies on real-time update of the APSO database.展开更多
文摘目的:分析3D-C E U S在肝脏占位性变诊断中的临床应用价值.方法:选取我院在2018年3月至2019年3月期间收治的80例肝占位患者作为分析对象,根据肿瘤情况,即分为良性组和恶性组,良性组患者为31例,恶性组患者为49例.两组患者采用动态三维造影检查,对占位性病灶的增强方式和病变血管形态的结果进行分析.结果:良性组主要以向心型增强为主,良性肿瘤供血血管走行较平直规则,以及小血管内部规则;恶性组患者主要以整体增强和环状增强为主,恶性肿瘤小血管或血管团行走扭曲,杂乱无序.因此,两组患者的结果差异,具有统计学意义(P<0.05).结论:采用动态三维超声造影对肝脏占位性病变的患者进行检查,能够明显、有效的诊断肝肿瘤的良恶性,提高了准确率,临床应大力推广.
基金The National Natural Science Foundation of China(No50738001)the National Basic Research Program of China (973Program) (No2006CB705501)
文摘Based on an available parking space occupancy （APSO） survey conducted in Nanjing, China, an APSO forecasting model is proposed. The APSO survey results indicate that the time series of APSO with different time-sections are periodical and self-similar, and the fluctuation of the APSO increases with the decrease in time-sections. Taking the short-time change behavior into account, an APSO forecasting model combined wavelet analysis and a weighted Markov chain is presented. In this model, an original APSO time series is first decomposed by wavelet analysis, and the results include low frequency signals representing the basic trends of APSO and several high frequency signals representing disturbances of the APSO. Then different Markov models are used to forecast the changes of low and high frequency signals, respectively. Finally, integrating the predicted results induces the final forecasted APSO. A case study verifies the applicability of the proposed model. The comparisons between measured and forecasted results show that the model is a competent model and its accuracy relies on real-time update of the APSO database.
