多参数磁共振成像对老年患者脑膜瘤分级和PR表达的预测  

Prediction of meningioma grading and PR expression by multiparametric magnetic resonance imaging in elderly patients

作　　者：阳丹萍 杨一风 李佳津 孙联稀 卢雅雯 方旭昊 叶瑶 李仕红 林光武 Yang Danping;Yang Yifeng;Li Jiajin;Sun Lianxi;Lu Yawen;Fang Xuhao;Ye Yao;Li Shihong;Lin Guangwu(Department of Radiology,Huadong Hospital Affiliated to Fudan University,Shanghai,200040,P.R.China;Department of Neurosurgery,Huadong Hospital Affiliated to Fudan University,Shanghai,200040,P.R.China;Department of Pathology,Huadong Hospital Affiliated to Fudan University,Shanghai,200040,P.R.China)

机构地区：[1]复旦大学附属华东医院放射科,上海200040 [2]复旦大学附属华东医院神经外科,上海200040 [3]复旦大学附属华东医院病理科,上海200040

出　　处：《老年医学与保健》2025年第1期20-24,31,共6页Geriatrics & Health Care

基　　金：上海市申康医院发展中心申康--医企融合创新协同专项(SHDC2022CRT025);上海市申康医院发展中心--联影联合科研发展计划项目(SKLY2022CRT402)。

摘　　要：目的基于多参数MRI形态学特征构建老年患者脑膜瘤分级及PR表达的预测模型。方法回顾性分析123例病理确诊的老年脑膜瘤患者基本资料与术前MRI数据,使用多因素Logistic回归分析构建良性和非良性脑膜瘤、PR阳性和PR阴性脑膜瘤预测模型。通过绘制受试者工作特征(receiver operating characteristic curve,ROC)曲线,计算曲线下面积(area under the curve,AUC)来评估模型的判别性能。结果联合年龄和强化方式构建脑膜瘤的分级模型,AUC为0.808;基于脑膜尾征构建脑膜瘤的PR表达状态模型,AUC为0.623。结论MRI形态学特征可作为老年患者脑膜瘤分级和PR表达预测的重要参考依据,有望为脑膜瘤的个性化治疗提供新思路和方法。Objective To establish a predictive model for meningioma grading and PR expression in elderly patients based on multiparameter MRI morphological features.Methods A retrospective analysis was conducted on clinical data and preoperative MRI findings from 123 elderly patients with pathologically confirmed meningiomas.The predictive models for benign and non-benign meningiomas,as well as PR-positive and PR-negative meningiomas were constructed by using multivariate Logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curve(AUC)was calculated to assess the discriminative performance of the model.Results A grading model of meningioma was established by combining age and enhancement pattern,with an AUC of 0.808.A PR expression model in meningioma was established based on the meningeal tail sign,and the AUC was 0.623.Conclusion MRI morphological features can be used as an important reference for predicting the meningioma grading and PR expression in elderly patients,and it is expected to provide new ideas and methods for personalized treatment of meningioma.

关 键 词：老年 脑膜瘤 多参数磁共振 分级 孕酮受体 胚胎起源 

分 类 号：R73[医药卫生—肿瘤]