Mp44-19 prenatal and Early Postnatal Outcomes for Fetuses With Anatomic or Functional Renal Agenesis

Abstract

We were able to predict normal/abnormal renal function in US images with an AUROC 0f 0.776. Including both sagittal and transverse views in the model improved our performance (Table 1). To improve the interpretability of our predictions, we generated heat maps to view areas of interest in US images that our classifier deemed most indicative for predicting function abnormalities.CONCLUSIONS: Prediction of normal or abnormal function based on US images alone appears to be feasible without featureengineering or clinical/patient variables. This technology may allow for closer monitoring of infants and reduce exposure to invasive testing patients receive to assess function.