Fetal Fraction and Uterine Leiomyoma Volume: New Insights From Interpretable Modeling
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The authors aim to develop a predictive model to estimate the likelihood of achieving a sufficient fetal fraction (FF) for non-invasive prenatal testing (NIPT) based on maternal characteristics and uterine leiomyoma volume. Their study finds that uterine leiomyoma volume significantly influences FF levels, with the best-performing model (XGBoost) achieving high prediction accuracy and indicating that reducing leiomyoma volume can improve FF outcomes. This modeling approach may enhance clinical decision-making for managing pregnancies with low FF.
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