目的观察分析小肝细胞性肝癌（ small hepatocellular carcinoma，sHCC）迟发性复发病灶超声造影影像学特征及临床意义。方法以初发性小肝癌（primary small hepatocellular carcinoma，PsHCC）52例68个病灶为对照组，2年内首发的复发...目的观察分析小肝细胞性肝癌（ small hepatocellular carcinoma，sHCC）迟发性复发病灶超声造影影像学特征及临床意义。方法以初发性小肝癌（primary small hepatocellular carcinoma，PsHCC）52例68个病灶为对照组，2年内首发的复发性小肝细胞性肝癌（recurrent small hepatocellular carcinoma，RsHCC） 293例367个病灶为RsHCC 1组（R1组），2年后首发的RsHCC 46例51个病灶为RsHCC 2组（R2组），分析比较三组间超声造影强化始增时间、达峰时间、开始消退时间、低增强开始时间及各时相灌注模式等血流动力学参数。
结果R2组与对照组及R1组比较，始增时间、达峰时间、开始消退时间及低增强开始时间的差异均有统计学意义（P〈0.05）；而上述参数指标在R1组与对照组间差异均无统计学意义（P〉0.05）。R2组分别与对照组及R1组比较，动脉期和延迟期时相差异均有统计学意义（P〈0.05），门脉期三组分布差异均无统计学意义（P〉0.05）; R1组与对照组各时相分布差异均无统计学意义（P〉0.05）。结论迟发性RsHCC超声造影灌注模式虽仍以快进快退为主，但也呈现出多样化趋势，对肝癌迟发性复发灶超声造影强化模式的研究，结合其他相关资料，有可能为临床提供一个简便、有一定参考价值的方法。展开更多
In recent years, advanced magnetic resonance imaging(MRI) techniques, such as magnetic resonance spec-troscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion weighted imaging have been used in ord...In recent years, advanced magnetic resonance imaging(MRI) techniques, such as magnetic resonance spec-troscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion weighted imaging have been used in order to resolve demanding diagnostic prob-lems such as brain tumor characterization and grading, as these techniques offer a more detailed and non-invasive evaluation of the area under study. In the last decade a great effort has been made to import and utilize intelligent systems in the so-called clinical deci-sion support systems(CDSS) for automatic processing, classification, evaluation and representation of MRI data in order for advanced MRI techniques to become a part of the clinical routine, since the amount of data from the aforementioned techniques has gradually inticle is two-fold. The first is to review and evaluate the progress that has been made towards the utilization of CDSS based on data from advanced MRI techniques. The second is to analyze and propose the future work that has to be done, based on the existing problems and challenges, especially taking into account the new imaging techniques and parameters that can be intro-duced into intelligent systems to significantly improve their diagnostic specificity and clinical application.展开更多
文摘In recent years, advanced magnetic resonance imaging(MRI) techniques, such as magnetic resonance spec-troscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion weighted imaging have been used in order to resolve demanding diagnostic prob-lems such as brain tumor characterization and grading, as these techniques offer a more detailed and non-invasive evaluation of the area under study. In the last decade a great effort has been made to import and utilize intelligent systems in the so-called clinical deci-sion support systems(CDSS) for automatic processing, classification, evaluation and representation of MRI data in order for advanced MRI techniques to become a part of the clinical routine, since the amount of data from the aforementioned techniques has gradually inticle is two-fold. The first is to review and evaluate the progress that has been made towards the utilization of CDSS based on data from advanced MRI techniques. The second is to analyze and propose the future work that has to be done, based on the existing problems and challenges, especially taking into account the new imaging techniques and parameters that can be intro-duced into intelligent systems to significantly improve their diagnostic specificity and clinical application.
