摘要
脑胶质瘤是最常见的原发性恶性脑肿瘤,其发病率高、预后差。术前预测脑胶质瘤的分级、分子分型、肿瘤微环境及预后对于制订个体化决策具有重要临床意义。影像组学和病理组学的技术进展正在重塑脑胶质瘤诊断和预后评估的模式。影像组学通过影像数据的高维特征进行量化分析,病理组学则基于组织切片图像挖掘微观病理特征,两者的结合可以实现无创、精准的肿瘤评估。本文就影像组学和病理组学在脑胶质瘤研究进展进行综述,从而为胶质瘤患者提供精准诊疗和个体化管理。
Glioma is the most common primary malignant brain tumor with high incidence and poor prognosis.Preoperative prediction of glioma grading,molecular typing,tumor microenvironment and prognosis is of significant clinical importance for making personalized treatment decisions.The technological advancements in radiomics and pathomics are reshaping the approaches for glioma diagnosis and prognosis evaluation.Radiomics involves the quantification and analysis of high-dimensional features from imaging data,while pathomics extracts microscopic pathological features from tissue slide images.The combination of these two approaches enables non-invasive and precise tumor assessment.This review summarizes the research progress of radiomics and pathomics in glioma,aiming to provide accurate diagnosis,treatment,and individualized management for glioma patients.
作者
王娟
张辉
WANG Juan;ZHANG Hui(College of Medical Imaging,Shanxi Medical University,Taiyuan 030001,China;Department of Radiology,First Hospital of Shanxi Medical University,Taiyuan 030001,China)
出处
《磁共振成像》
北大核心
2025年第4期155-160,共6页
Chinese Journal of Magnetic Resonance Imaging
基金
国家自然科学基金项目(编号:U21A20386)。
关键词
胶质瘤
影像组学
病理组学
磁共振成像
分子分型
肿瘤微环境
glioma
radiomics
pathomics
magnetic resonance imaging
molecular subtyping
tumor microenvironment
