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Updated: Jan 14, 2026
Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System
Published on: May 5, 2018
Hemodynamic and developmental biomarkers enhance prenatal coarctation prediction: a validated multiparametric
Yu Wang1,2, Shuhua Luo2,3, Weiqiang Ruan2,3
1Department of Ultrasonic Medicine, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Purpose:
To develop and validate a prenatal prediction model for aortic coarctation (CoA) using morphologic, hemodynamic, and fetal growth parameters to enhance diagnostic accuracy and guide clinical decision-making.
Method:
Eighty-three fetuses with suspected CoA were retrospectively analyzed. Key prenatal predictors were analyzed using multivariable logistic regression to construct a nomogram. Model performance was evaluated via area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA).
Results:
Of the 83 fetuses, 28 (33.7%) were postnatally confirmed with CoA. The final model identified abdominal-to-head circumference ratio × 100% (β = 0.90, 95% CI 0.22-1.58), maximum aortic arch z-score (β = - 0.85, 95% CI - 1.50 to - 0.19), ventricular septal defect (OR = 1.85, 95% CI 1.02-3.53), and abnormal atrial hemodynamics (OR = 0.73, 95% CI 0.38-1.39) as significant predictors. The model achieved an AUC of 0.86 (95% CI 0.78-0.94), with calibration plots demonstrating strong agreement between predicted and observed probabilities. DCA confirmed clinical utility across a wide threshold range.
Conclusions:
This nomogram enhances CoA prediction by integrating structural and functional ultrasound markers. It offers strong diagnostic performance and practical value for prenatal risk stratification, potentially reducing false positives and unnecessary interventions.
