【摘要】 目的 探讨子宫内膜纤维化患者子宫肌层厚度（MT）、肌层表观扩散系数值（ADC_M）、结合带厚度（JZT）及结合带表观扩散系数值(ADC_JZ)的变化。方法 前瞻性纳入59例子宫内膜纤维化患者和34例健康育龄期女性（志愿者）,测量子宫JZT、ADC_JZ、MT及ADCM。利用独立样本t检验比较2组间JZT、ADC_JZ、MT、ADC_M差异。利用二元logistic回归分析建立联合预测模型(联合平均JZT、平均ADC_JZ、平均MT)。利用受试者工作特征（ROC）曲线评估各参数平均值及联合预测模型对子宫内膜纤维化的诊断效能。结果 子宫内膜纤维化患者的JZT（前壁、后壁、底壁和平均值的P值分别为0.007、0.035、0.001和<0.001）、ADC_JZ（前壁、后壁、底壁和平均值的P值均<0.001）和MT（前壁、后壁和平均值的P值分别为0.003、<0.001和0.003）均显著大于志愿者。平均ADC_JZ[曲线下面积（AUC）=0.872]和联合预测模型（AUC=0.953）对子宫内膜纤维化均具有较高诊断价值。结论 MRI可以用于子宫内膜纤维化患者子宫肌层和JZ变化的无创评估。更多还原

【Abstract】 Objective To explore the changes of the thickness of myometrium（MT）,apparent diffusion coefficient value of myometrium（ADC_M）,thickness of junctional zone（JZT） and apparent diffusion coefficient value of junctional zone(ADC_JZ) in patients with endometrial fibrosis.Methods A total of 59 patients with endometrial fibrosis and 34 healthy women（volunteer） of childbearing age were prospectively included.The JZT,ADC_JZ,MT and ADC_M were measured.Independent samples t-test was used to compare the differences in JZT,ADC_JZ,MT,and ADC_M between the two groups.A combined prediction model was established using binary logistic regression analysis(combining mean JZT,mean ADC_JZ,and mean MT).The efficiency of each parameter’ s mean value and the combined prediction model in diagnosing endometrial fibrosis was evaluated using the receiver operating characteristic（ROC） curve.Results JZT（anterior wall,posterior wall,fundus and mean;P=0.007,0.035,0.001 and <0.001,respectively）,ADC_JZ（anterior wall,posterior wall,fundus and mean;all P<0.001） and MT（anterior wall,posterior wall and mean;P=0.003,<0.001 and 0.003,respectively） were significantly larger in patients with endometrial fibrosis compared to volunteer.Mean ADC_JZ[area under the curve（AUC）=0.872] and the combined prediction model（AUC=0.953） had high value for diagnosing endometrial fibrosis.Conclusion MRI can be used for noninvasively assessing the changes of myometrium and JZ in patients with endometrial fibrosis.更多还原