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07.06.2022 | Reproductive Physiology and Disease

Evaluation of placental growth potential and placental bed perfusion by 3D ultrasound for early second-trimester prediction of preeclampsia

verfasst von: Hong Cui, Leilei Yu, Hua Li, Hongling Wang, Wenwen Liang, Huige Wang, Huifeng Wang

Erschienen in: Journal of Assisted Reproduction and Genetics | Ausgabe 7/2022

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Abstract

Purpose

This study aimed to investigate whether placental parameters measured by three-dimensional ultrasound are associated with preeclampsia (PE) and small-for-gestational-age (SGA).

Methods

In total, 1163 pregnancies at 11–14 weeks of gestation were recruited between October 8, 2020, and April 30, 2021. Placenta volume (PV), placental bed vascularization flow index (PBVFI), and uterine arteries pulse index (UtA-PI) were measured. Placental quotient (PQ = PV/weeks of gestation) was calculated. All participants were re-examined 4 weeks later. The placental volume growth rate (PVGR = placental volume difference between the two examinations/interval days) was also calculated. Patients were divided into four groups by the gestational age at the onset of PE and birth weight: early-onset PE (E-PE, n = 18), late-onset PE (L-PE, n = 36), isolated SGA5 (birth weight less than the fifth percentile for gestational age without PE, n = 9), and unaffected (n = 1100) groups.

Results

A predictive model for E-PE was established, which consisted of unnatural conception, chronic hypertension, PBVFI (of second examination), and PVGR for E-PE; 94.4% sensitivity and 96.7% specificity by receiver operating characteristic curve analysis.

Conclusions

Overall, decreased placental growth potential and low placental bed perfusion in the early second trimester have potential in predicting E-PE.
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Metadaten
Titel
Evaluation of placental growth potential and placental bed perfusion by 3D ultrasound for early second-trimester prediction of preeclampsia
verfasst von
Hong Cui
Leilei Yu
Hua Li
Hongling Wang
Wenwen Liang
Huige Wang
Huifeng Wang
Publikationsdatum
07.06.2022
Verlag
Springer US
Erschienen in
Journal of Assisted Reproduction and Genetics / Ausgabe 7/2022
Print ISSN: 1058-0468
Elektronische ISSN: 1573-7330
DOI
https://doi.org/10.1007/s10815-022-02530-z

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