Risk factors analysis and preliminary establishment of a predictive model for fetal complete agenesis of the corpus callosum based on indirect ultrasound imaging
Objective To analyze the indirect ultrasound signs of fetal complete agenesis of the corpus callosum(CACC)and establish a prediction model.Methods A total of 463 fetuses with small or absence of cavum septum pellucidum(CSP),using the results of magnetic resonance(MR)as the diagnostic criteria,into CACC group(n=107)and non-CACC group(n=356),Univariate and multivariate Logistic regression analysis were used to establish a prediction model for CACC based on indirect ultrasound signs.Results Multivariate binary Logistic analysis showed that the lateral ventricular dilation and the lateral ventricle with teardrop like were independent risk factors for diagnosis CACC.The established risk prediction model was Logit(P)=-4.149+1.613×the lateralventriculardilation+4.440×the lateral ventricle with teardrop like,which had good discrimination(area under the curve=0.951,95%CI:0.925-0.977)and calibration(χ2=0.237,P=0.888).Conclusion The risk prediction model constructed based on prenatal ultrasound with small or absence of CSP can provide important diagnostic basis for grassroots ultrasound doctors to diagnose CACC.
FetusUltrasonography prenatalMagnetic resonanceCavum septum pellucidumAgenesis of the corpus callosum
维普
万方数据
