Objective: Pre-eclampsia and delivery of small-for-gestational-age (SGA) neonates can be predicted from the first trimester. A Gaussian model for prediction of PE has recently been described, although its capacity to predict SGA is still unknown.Methods: This was a secondary analysis of a prospective cohort study conducted at Vall d'Hebron University Hospital (Barcelona) in 2483 single pregnancies from October 2015 to September 2017. Mean arterial blood pressure and mean uterine artery pulsatility index were recorded at the first-trimester scan. Serum concentrations of placental growth factor and pregnancy-associated plasma protein-A were assessed between 8 +0 and 13 +6 weeks. The predictive capacities of early (<32 weeks) and preterm (<37 weeks) SGA were tested. Results:For SGA without pre-eclampsia, detection rates of 25.0% (95% confidence interval [CI] 0-75.0) for early SGA and 14.3% (95% CI 3.6-28.6) for preterm SGA were achieved. For SGA with pre-eclampsia, the algorithm showed detection rates of 100.0% (95% CI 25.0-100.0) for early 3) for preterm SGA. Conclusion:This algorithm identifies 62.5% of early SGA and 27.3% of preterm SGA.Combined screening for predicting both pre-eclampsia and SGA by using the Gaussian algorithm is feasible and would simplify clinical practice.

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Short oral presentation abstracts mortem (15) MRI scans were reviewed and a 20-point morphological scale was applied. The phenotypical aspects of both diseases and overlapping features were subsequently characterised and compared. Results: Among the 20 investigated features, we identified the following findings: In trisomy 13 we observed anomalies of the cranial nerves (69.2 vs. 26.1%, p = 0.017) and cortical development (78.6 vs. 19.2%, p = <0.001), while cardiovascular pathologies (46.7 vs. 80.8%, p = 0.038) occurred in trisomy 18. Both entities had a high percentage of ocular anomalies (85.7 vs. 83.3%). Conclusions: As radiologists are increasingly involved in phenotyping of genetical syndromes, the prenatal phenotypical characterisation of trisomies is the first step. MRI phenotyping of trisomies shows a higher frequency of cerebral anomalies in trisomy 13 and cardiovascular anomalies in trisomy 18. Using a proposed 20-point morphological scale, we enable radiologists to more confidently differentiate between Trisomies 13 and 18.