磁共振T_(2)WI序列影像组学模型对特殊部位异位妊娠的诊断价值  

Diagnostic Value of Magnetic Resonance Imaging(MRI)T_(2)WI Sequence Radiomics Model for Special Site Ectopic Pregnancy

作　　者：王茜 袁晓亮 WANG Qian;YUAN Xiao-liang(Department of Ultrasound,Tangshan Hongci Hospital Co.,LTD.,Tangshan 063000,Hebei Province,China)

机构地区：[1]唐山弘慈医院有限公司超声科,河北唐山063000

出　　处：《中国CT和MRI杂志》2024年第7期137-140,共4页Chinese Journal of CT and MRI

基　　金：河北省医学科学研究课题(20221726)。

摘　　要：目的构建磁共振成像(MRI)T_(2)WI序列影像组学模型,并探究其在特殊部位异位妊娠中的诊断价值。方法选取于本院2018年2月-2023年2月就诊的异位妊娠患者258例,按照2:1的比例将所有患者分为训练集(n=186)和验证集(n=72)。根据组织病理学结果将训练集患者分为特殊部位异位妊娠组(n=102)和非特殊部位异位妊娠组(n=84)。多因素Logistics回归分析特殊部位异位妊娠发生的独立影响因素。单因素方差分析和最小绝对收缩和选择算子(LASSO)回归降维MRI T_(2)WI序列影像组学特征,构建影像组学特征与临床特征联合模型,采用受试者工作特征曲线(ROC)、HosmerLemeshow检验和校准曲线评价联合模型预测能力,采用临床决策曲线(DCA)评估其临床意义。结果MRI在异位妊娠患者中确诊特殊部位异位妊娠的准确度为79.07%、特异度为80.29%、灵敏度为77.69%、阳性预测值(PPV)为77.69%、阴性预测值(NPV)为80.29%。非特殊部位异位妊娠与特殊部位异位妊娠相比,人工流产次数、异位妊娠史、β-hCG比值、子宫内膜厚度、MRI特殊部位异位妊娠诊断结果差异显著(P<0.05)。多因素Logistics回归分析结果显示,β-hCG低比值、人工流产高频次数、有异位妊娠史、子宫内膜薄、MRI特殊部位异位妊娠诊断结果阳性是特殊部位异位妊娠与非特殊部位异位妊娠的独立影响因素。将单因素方差分析和LASSO回归降维后获得9个具有代表性的影像组学特征和临床特征构成联合模型AUC在训练集联合模型、影像组学评分模型和临床预测模型中分别为0.837、0.741、0.717,在验证集中分别为0.816、0.752、0.705,联合模型AUC最高,具有更佳的预测能力(P<0.05)。Hosmer-Lemeshow检验结果显示,联合模型预测数据与实际观察数据之间差异无统计学意义(P=0.146,0.102)。校准曲线显示联合模型在验证集和训练集中,预测值与观察值具有良好的一致型。DCA曲线显示,�Objective To construct a radiomics model based on MRI T_(2)WI sequence images and explore its diagnostic value for special site ectopic pregnancy.Methods A total of 258 ectopic pregnancy patients who underwent treatment in our hospital from February 2018 to February 2023 were selected.The patients were divided into a training set(n=186)and a validation set(n=72)in a ratio of 2:1.Based on histopathological results,the patients from training set were divided into special site ectopic pregnancy group(n=102)and non-special site ectopic pregnancy group(n=84).Multivariable logistic regression was performed to identify independent factors associated with special site ectopic pregnancy.Univariate analysis and Least Absolute Shrinkage and Selection Operator(LASSO)regression were used to reduce the dimensionality of the radiomics features obtained from MRI T_(2)WI sequence images.A combined model of radiomics and clinical features was constructed,and the predictive ability of the combined model model was evaluated using receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test,and calibration curve.The clinical utility of the model was assessed using decision curve analysis(DCA).Results The MRI has a diagnostic accuracy of 79.07%,specificity of 80.29%,sensitivity of 77.69%,positive predictive value(PPV)of 77.69%,and negative predictive value(NPV)of 80.29%for diagnosing ectopic pregnancy in ectopic pregnancy patients.Compared to non-special sites ectopic pregnancies,there were significant differences in the number of induced abortions,ectopic pregnancy history,β-hCG ratio,endometrial thickness,and MRI diagnosis of special site ectopic pregnancies(P<0.05).Multivariate Logistic regression analysis showed that lowβ-hCG ratio,high frequency of induced abortions,history of ectopic pregnancy,thin endometrium,and positive MRI diagnosis of special site ectopic pregnancy were independent influencing factors for special site ectopic pregnancy compared to non-special site ectopic pregnancy.After dimension reduction through on

关 键 词：磁共振 T_(2)WI序列 影像组学 特殊部位异位妊娠 LASSO 

分 类 号：R445.2[医药卫生—影像医学与核医学]