DWI结合T2WI定量参数评估宫颈癌患者脉管间隙浸润和宫旁浸润的研究OA

Objective:To evaluate the diagnostic value of diffusion-weighted imaging(DWI)combined with T2-weighted imaging(T2WI)quantitative parameters in the preoperative assessment of lymphovascular space invasion(LVSI)and parametrial infiltration(PI)in patients with cervical cancer.Methods:A total of 220 cervical cancer patients who received treatment in the department of oncology of our hospital from January 2021 to October 2024 were selected.All patients underwent MRI examinations.Pearson correlation analysis was used to investigate the correlation between DWI and T2WI quantitative parameters.Based on postoperative pathological results,patients were categorized into LVSI-positive and LVSI-negative groups,as well as PI-positive and PI-negative groups.Univariate analysis combined with Cox regression models was used to identify factors influencing LVSI and PI.Receiver operating characteristic(ROC)curves were employed to assess the predictive efficiency of quantitative parameters from DWI and T2WI for LVSI and PI.Results:The ADC values,D values,and kurtosis values of the LVSI-positive group and PI-positive patients were significantly lower than those of the LVSI-negative group and PI-negative group(P＜0.05);However,the D*values and entropy values of the LVSI-positive group and PI-positive group were significantly higher than those of the LVSI-negative group and PI-negative group(P＜0.05).The correlation analysis shows that the kurtosis of T2WI texture features is positively correlated with ADC and D,and negatively correlated with D*.The entropy value of T2WI texture features is negatively correlated with ADC and D,and positively correlated with D*.Cox regression analysis indicated that ADC,D,D*,kurtosis,and entropy values were all significant factors influencing the occurrence of LVSI and PI in cervical cancer patients(P＜0.05).ROC curve analysis results showed that ADC,D,D*,kurtosis,and entropy values can be used to predict LVSI and PI status in cervical cancer patients.The predictive performance of regression analysis combining these indicators was significantly superior to that of DWI and T2WI quantitative parameters alone(P＜0.05).Conclusion:Quantitative parameters of DWI and T2WI show abnormal expression of LVSI and PI in cervical cancer patients and can be used to predict the occurrence of LVSI or PI.Further clinical research and promotion are warranted.