临床预测模型在脑胶质瘤疾病中应用的研究进展

Application research progress of clinical prediction model in glioma

临床预测模型(CPM)是指利用数学方程式评估特定个体当前患有某种疾病或将要发生某种结局的概率,包括诊断模型和预后模型。脑胶质瘤是颅内常见的、预后极差的恶性肿瘤,存在肿瘤异质性及易感性,病死率和复发率较高,临床诊疗方式时常难以决策。近年来通过临床症状、放射组学、自噬相关基因、DNA甲基化及非编码RNA等信息构建的CPM的应用在脑胶质瘤疾病的诊断、治疗和预后判断中起着重要的作用。本文对CPM在脑胶质瘤中的构建及应用进行综述,以期为医务工作者提供良好的决策依据。

Clinical prediction model(CPM)refers to the use of mathematical formulas to estimate the probability of a specific individual currently suffering from a certain disease or will have a certain outcome,including diagnostic model and prognostic model.Glioma is the common intracranial malignant tumor with very poor prognosis.It has tumor heterogeneity and susceptibility,high mortality and recurrence rate.It is often difficult to make decisions on clinical diagnosis and treatment.CPM is constructed through clinical symptoms,radioomics,autophagy-related genes,DNA methylation,non-coding RNA and other information.It plays an important role in the diagnosis,treatment and prognosis of glioma in recent years.This paper reviews the construction and application of CPM in glioma so as to provide good decision-making basis for medical workers.