Effect Analysis Of Microsurgical Treatment For Glioma Of Limbic System

Objective:In this study,41 patients with glioma of the limbic system treated by microsurgery were selected to analyze the clinical efficacy and prognostic risk factors,and to construct a new clinical model to predict the overall survival in different years.Methods:In our hospital from 2018 to 2021,41 cases of limbic system gliomas were analyzed,and the observation of overall survival in patients with primary,observed in patients with clinical symptoms that have improved after surgery,epileptic grading standards according to Engle,control effect of microsurgery in patients with preoperative and postoperative KPS scores,observation of patients’ postoperative life quality and survival state,R 4.0.2 software and SPSS 26.0 were used to conduct univariate and multivariate Cox regression to explore the risk factors affecting the prognosis and efficacy of glioma of the limbo system,and establish the patient’s prognosis nomogram.Results:Among the 41 patients in this group,36 patients(87.8%)had total tumor resection and 5 patients(12.2%)had subtotal tumor resection.There were 15 patients with epileptic symptoms before surgery,and 11 patients had no epileptic symptoms(Engle I)after microsurgical treatment,with a cure rate of 73.3%.We did not find Engle IV patients after surgery.The total resection rate of glioma of the limbo system treated by microsurgery was 87.80%,and the KPS score was not decreased in 30 patients,accounting for 73.17%.Univariate and multivariate Cox analyses were conducted to screen out three independent prognostic risk factors(age,HR = 8.052,95%CI = 1.628–39.820,P = 0.011).Pathological grade(HR = 15.622,95% CI =3.087–79.060,P <0.001)and microsurgery scope(HR = 0.171,95% CI = 0.041–0.715,P = 0.016)Based on these three risk factors,we established a correlation rosette prediction model.The results show that the model is effective and the predict-ion values are consistent with the clinical results.The C-index of the model was0.887,and the area under the ROC curve(AUC)at 1,2,and 3 years was 0.843,0.890,and 0.974,respectively.The calibration curve also shows that the prediction model has good consistency.Conclusions:Microsurgery is effective,safe,and reliable for patients with glioma of the limbic system.In this study,age,resection scope,and pathological grade of patients with glioma of the limbic system treated by microsurgery are independent prognostic risk factors.The prediction model constructed in this study has strong prediction ability and clinical application value for the overall survival of patients with glioma of the limbic system treated by microsurgery,which can be used as an important reference for the individualized treatment of patients with glioma of the limbic system by microsurgery,and improve the prognostic efficacy of such patients.