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https://www.um.edu.mt/library/oar/handle/123456789/145225| Title: | Improving early pregnancy outcomes : predictive tools for threatened miscarriage |
| Authors: | Sammut, Lara Maria |
| Keywords: | Pregnancy -- Complications Ultrasonography -- Case Reports Prenatal diagnosis Biochemical markers Machine learning |
| Issue Date: | 2026 |
| Publisher: | European Federation of Radiographer Societies (EFRS) |
| Citation: | Sammut, L. (2026). Improving early pregnancy outcomes: Predictive tools for threatened miscarriage. European Congress of Radiology, Vienna. |
| Abstract: | This presentation is aimed to develop predictive tools for pregnancy outcomes in cases of threatened miscarriage through a three-phase approach. The retrospective phase analysed local Maltese data on first-trimester bleeding. The scoping review evaluated existing ultrasonographic and biochemical markers. The prospective case-control study developed and validated a Random Forest model that incorporates progesterone, MGSD, β-hCG, CRL, cervical length, maternal age, FHR, and the sFlt-1:PlGF ratio. The model achieved 93% accuracy and an AUC of 0.96, and provides a solid foundation for the development of clinical decision-support tools. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/145225 |
| Appears in Collections: | Scholarly Works - FacHScRad |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Improving_early_pregnancy_outcomes.pdf Restricted Access | 4.62 MB | Adobe PDF | View/Open Request a copy |
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