论文部分内容阅读
目的:研究运用不同数学模型进行后处理对宫颈癌CT灌注结果的影响。方法:对13例宫颈癌患者的灌注数据进行回顾性分析,针对相同患者的灌注数据分别采用单室模型及去卷积模型进行后处理,选择相同部位和大小的感兴趣区(ROI),获取灌注图、灌注参数、灌注曲线并进行分析。每组数据进行配对t检验,P<0.05差异有统计学意义。结果:运用不同数学模型后处理对宫颈癌CT灌注结果有不同程度影响,其中强化峰值、BF值以及PS值差异显著,具有统计学意义,BV值与MTT值在两种后处理方法中无统计学差异。结论:常规注射流率结合单室模型可以导致TDC峰值、BF值及PS值的低估,影响灌注值的精确测量;去卷积模型更适合常规灌注扫描,利于推广使用。
Objective: To study the effects of different mathematical models for post-treatment on CT perfusion of cervical cancer. Methods: The perfusion data of 13 patients with cervical cancer were retrospectively analyzed. The perfusion data of the same patients were treated by single chamber model and deconvolution model respectively. The same region and size of ROI Perfusion map, perfusion parameters, perfusion curve and analysis. Paired t-test data for each group, P <0.05 difference was statistically significant. Results: Post-treatment with different mathematical models had different effects on the CT perfusion of cervical cancer. There were significant differences among them in terms of enhancement peak value, BF value and PS value. There was no statistical difference between BV value and MTT value in the two post-treatment methods Differences CONCLUSION: Conventional injection rate combined with single-chamber model can lead to underestimation of TDC peak value, BF value and PS value, affecting the accurate measurement of perfusion value. Deconvolution model is more suitable for routine perfusion scanning, which is benefit for popularization.