Evaluation of the Prognosis of Neuroglioma Based on Dynamic Magnetic Resonance Enhancement

Abstract

This paper explores the diagnostic value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the prognosis of glioma, and judges the relevant factors affecting the prognosis of glioma. This paper used a Cox proportional hazards model to retrospectively analyze clinical data of 81 patients with complete neuroglioma from the same neurosurgery medical team from January 2012 to November 2018, including DCE-MRI data. To determine the prognostic factors, P < 0.05 was used as the statistical standard, and the survival curve of statistically significant factors was drawn by Kaplan-Meier method. The Cox proportional hazard model analysis showed the preoperative Karnofsky Performance Status Scale (KPS) score, age, tumor pathologic grade, postoperative radiotherapy, temozolomide use, and Ki-67 expression had an impact on the prognosis of patients with neuroglioma. Multivariate analysis and DCE-MRI data showed that age, tumor grade, preoperative KPS score, postoperative radiotherapy, and Ki-67 expression were prognostic factors for patients with glioma. The older the age, the higher the pathologic grade, the higher the Ki-67 expression level, and the lower the KPS score before surgery, the worse the prognosis. Postoperative radiotherapy and appropriate temozolomide chemotherapy will help improve the prognosis of patients with neuroglioma.