Abstract
Pre-eclampsia remains a leading cause of maternal and fetal morbidity and mortality. This systematic review aims to evaluate the ability of placental vascularisation indices (PVIs) derived from 3D power Doppler whole placental volume scanning to predict early, late and any-onset pre-eclampsia (PE). The following databases were searched: MEDLINE, EMBASE and Web of Science. Studies selected for inclusion measured PVIs: Vascularisation Index (%) (VI) and/or Flow Index (FI) and/or Vascularisation Flow Index (VFI) derived from 3D power Doppler whole placental volume scanning via Virtual Organ Computer-aided Analysis (VOCAL) technique prior to diagnosis of PE. A total of 667 records were screened with five eligible studies included. A narrative review of all studies was undertaken and three studies with sufficient data were included in a meta-analysis. This review, the first of its kind to evaluate the predictive value of PVIs for PE, reports significantly lower first trimester PVIs across a range of studies in women who develop PE. Mean differences in vascularisation indices in PE and non-PE pregnancies were: VI -2.93% (95% CI -5.84,-0.01), FR -2.83 (95% CI -3.97,-1.69) and VFI -0.93 (95% CI -1.6,-0.25), respectively. While only two studies reported sensitivity and specificity data, VI and VFI most accurately predicted early onset PE, and VFI predicted PE in high risk women. Further research is required to validate these findings in different study populations and to examine the performance of PVIs within combined screening models for PE.
| Original language | English |
|---|---|
| Pages (from-to) | 89-97 |
| Journal | Placenta |
| Volume | 51 |
| Early online date | 05 Jan 2017 |
| DOIs | |
| Publication status | Published - 01 Mar 2017 |
Keywords
- 3D power Doppler
- Placental vascularisation indices
- Pre-eclampsia
- Prediction
ASJC Scopus subject areas
- Reproductive Medicine
- Obstetrics and Gynaecology
- Developmental Biology
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Clinical utility of 3D power doppler ultrasound and maternal biomarkers in the prediction of pre-eclampsia in high-risk pregnancies
Eastwood, K.-A. (Author), Young, I. (Supervisor), Holmes, V. (Supervisor) & McCance, D. (Supervisor), Jul 2018Student thesis: Doctoral Thesis › Doctor of Philosophy
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