Research On Factors Effecting And Prediction Model Of INPVR Of Uterine Fibroid After HIFUa

Objective:To explore the factors effecting of INPVR,which is an index of therapeutic effect of HIFUa in the treatment of uterine fibroid,and try to use the influence factors of INPVR to build its prediction model.Method:1.From June 2017 to September 2019,417 patients with singleUterine fibroid were selected from Nanchong Central Hospital and treated with HIFUa.According to 80%and less than 80%of INPVR,the patients were divided into two groups.Clinical and imaging data(such as age,body mass index,location and volume of uterine and uterine fibroids,ultrasonic image and MRI characteristics of uterine fibroids,rectus abdominis thickness,subcutaneous fat thickness,distance from fibroid dorsal side to sacrum:),and some treatment parameters were retrospectively analyzed for all patients.Logistic regression was used to analyze the influencing factors of INPVR.Using Nomogram to build the model and try to realize the prediction of INPVR.2.Relevant parameters were obtained according to preoperative ultrasound localization and MRI.3.Statistics:SPSS 19.0 was used to analyze the data:Chi-square test is used for counting data and Mann-Whitney U test is used for measuring data;logistic regression analysis was used;bilateral test was used,P<0.05 was statistically significant,P<0.001 was significant statistical significance.Use Medcalc to draw the box drawing and ROC.R language is used to draw Nomogram.Result:1.The results of univariate analyses revealed that there were five statistically significant indicators(P<0.05):type of uterine fibroids,T2 signal intensity,T2-Rimsign and treatment intensity;multivariate analyses is suggested that T2 signal intensity,T2-Rimsign and treatment intensity had influence on INPVR.2.Type of uterine fibroids,T2 signal intensity,T2-Rimsign and treatment intensity can predict INPVR independently,and the prediction value of INPVR is higher by integrating the influencing factors of INPVR.3.A predictive model of INPVR can be established by predictive factors.Conclusion:1.The types of uterine fibroids,T2 signal intensity,T2-Rim sign and treatment intensity can affect INPVR;2.It is feasible to implement INPVR prediction based on Nomogram.