不同数学模型对宫颈癌CT灌注结果的影响

Effects of different mathematical models on the result of cervical cancer CT perfusion

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 research the effects of aftertreatment with different mathematic models on the result of cervical cancer CT perfusion. Methods： The perfusion data of 13 patients with cervical cancer were retrospectively analyzed. The perfusion data of the same patient were treated with one - compartment model and deconvolution model, respectively, ROIs of the same place and the size were selected to obtain perfusion figure, perfusion parameters and perfusion curve ; t test was used in the study, P 〈 0. 05 meant the difference had statistical sense. Results ： Different mathematic models had different impacts on the result of cervical cancer CT perfusion, there were statistically significant differences in enhanced peak, BF value and PS value between the two mathematic models ; hut there was no statistically significant difference in BV value and MTF value between the two mathematic models. Conclusion： Conventional injection flow rate combined with one - compartment model can lead to undervaluations of TDC peak value, BF value and PS value and affect accurate measurement of perfusion values. Deconvolution model is more suitable for conventional perfusion scan, which can be generalized in the other hospitals.