Chrome Extension
WeChat Mini Program
Use on ChatGLM

基于T1WI增强影像组学在鉴别高级别胶质瘤复发与假性进展中的应用价值

Journal of Nanjing Medicial University(2023)

Cited 0|Views4
No score
Abstract
目的:探讨基于T1WI(T1 weighted imaging)增强影像组学在术前无创鉴别高级别胶质瘤术后复发与假性进展的应用价值.方法:回顾性分析经病理证实为高级别胶质瘤的104例患者临床及磁共振成像资料,根据二次手术病理或神经肿瘤疗效评估标准(response assessment in neuro-oncology,RANO)将其分为复发组71例,假性进展组33例.按7∶3比例随机分为训练组和验证组.在T1WI增强图像上手动勾画肿瘤实质区的体积作为感兴趣区,用FeAture Explorer软件提取1648个组学特征.采用主成分分析(principal component analysis,PCA)及最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)进行特征处理及筛选,采用支持向量机(support vector machine,SVM)构建影像组学模型.通过受试者工作特征曲线下面积(area under curve,AUC)及校准曲线评估模型的效能.结果:训练组鉴别高级别胶质瘤复发与假性进展的AUC为0.929,准确率为0.889,灵敏度为72.7%,特异度为100.0%.验证组的AUC为0.853,准确率为0.813,灵敏度为90.9%,特异度为71.4%.校准曲线显示模型预测值与实际值一致性较好.结论:基于T1WI增强影像组学模型具有较好的诊断效能,有助于鉴别高级别胶质瘤术后复发与假性进展.
More
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined