阿尔茨海默病海马结构异常的影像组学研究

目的 探讨阿尔茨海默病 (AD) 患者的左右侧海马影像组学特征,建立和比较左右侧海马的影像组学分类模型,并分析其在AD患者诊断中的价值。方法 前瞻性对照研究。纳入2016年9月—2018年6月在浙江省人民医院记忆专科门诊就诊的59例AD患者为AD组,健康促进中心44名志愿者为正常对照组(NC组)。采用 GE 3.0 T MR成像系统对两组受试者行全脑扫描,分别获取三维磁化准备快速梯度回波成像序列 (MPRAGE)。使用一种基于学习的可变形模型对左右侧海马进行分割。对分割后的左右侧海马两组数据分别进行特征计算和特征选择,基于选择的特征建立logistic回归模型。结果 经过计算后两组数据分别得到385个特征。左右侧海马数据经过特征选择后分别剩下5个特征。右侧海马logistic回归模型评价指标的准确性、曲线下面积、特异度、灵敏度、阳性预测值、阴性预测值分别为0.69、0.74、50%、83%、68%、70%,左侧海马分别为0.75、0.83、79%、72%、81%、69%。结论 海马的影像组学特征具有作为诊断AD的生物标志物的潜力。左侧和右侧的海马影像组学模型有助于AD的诊断,其中左侧海马模型的诊断价值高于右侧。

Radiomic study for the diagnosis of Alzheimer's disease based on the structure anomaly of hippocampus

Objective To discuss the radiomic features of hippocampus related to Alzheimer disease (AD) diagnosis, and to build and compare the right and left hippocampal classification models for AD diagnosis.Methods A prospective study was conducted on AD patients who visited the memory clinic of Zhejiang Provincial People's Hospital from September 2016 to June 2018. Fifty-nine AD subjects and forty-four normal controls (NC) were scanned with three-dimensional T₁-weighted magnetization-prepared rapid gradient echo (MPRAGE) sequence by GE 3. 0 T MR. The right and left hippocampus were segmented for each subject using an efficient learning-based deformable model. The two groups of data passed through feature calculation and feature selection respectively. Then two classification models of the right and left hippocampus were built respectively based on the selected features using the Logistic regression model.Results There were 385 features obtained after calculation from each group of hippocampus. And there were five features selected of the left and right hippocampus respectively. The accuracy, area under the receiver operating characteristic curve values, specificity, sensitivity, positive predictive value and negative predictive value of the right hippocampus model evaluation indexes were 0.69, 0.74, 50%, 83%, 68% and 70%, respectively. And those of the left hippocampus model were 0.75, 0.83, 79%, 72%, 81% and 69%,respectively.Conclusionse The Results demonstrated the potential of hippocampal radiomic features as a biomarker for the diagnosis of AD. The radiomic models of right and left hippocampus are helpful for classifying AD from NC subjects. And the model of left hippocampus has a higher diagnostic value than the right.