Assessment of uterine activity during IVF by quantitative ultrasound imaging: a pilot study.


Journal

Reproductive biomedicine online
ISSN: 1472-6491
Titre abrégé: Reprod Biomed Online
Pays: Netherlands
ID NLM: 101122473

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 17 04 2020
revised: 06 07 2020
accepted: 10 08 2020
pubmed: 24 9 2020
medline: 12 11 2021
entrez: 23 9 2020
Statut: ppublish

Résumé

Does uterine activity differ in patients who have undergone successful IVF treatment compared with patients who have undergone unsuccessful IVF treatment? Prospective study of 16 women who underwent fresh single embryo transfer. All patients underwent transvaginal ultrasound in three phases of the IVF treatment: ovarian stimulation 1 h before embryo transfer (ET1) and 5-7 days after embryo transfer (ET5-7). Uterine motion analysis was implemented by a dedicated speckle tracking algorithm; frequency- and amplitude-related features were extracted from the derived signals to characterize the uterine activity in relation to ongoing implantation (positive HCG after 6 weeks) and ongoing pregnancy at 11 weeks. Uterine activity in terms of frequency (ovarian stimulation ET1, P = 0.04; ovarian stimulation ET5-7, P = 0.002) and amplitude (ovarian stimulation ET1, P = 0.0003; ovarian stimulation ET5-7, P = 0.000008) is significantly higher in the ovarian stimulation phase compared with ET1 and ET5-7. Women with ongoing pregnancies showed significantly higher uterine contraction frequency compared with those with no ongoing pregnancies in all phases (ovarian stimulation, P = 0.006; ET1, P = 0.015; ET5-7, P = 0.007). Uterine contraction amplitude was significantly lower (P = 0.037) in women at ET5-7 in women with ongoing pregnancies. This study is a first step towards assessing uterine activity during IVF objectively and non-invasively. It is an essential step to understanding the previously suggested effect of contractions on IVF failure. Uterine activity after embryo transfer characterized by high frequency and low amplitude may favour embryo implantation. Research with larger patient cohorts is needed to build on current evidence and knowledge of uterine contractions during IVF.

Identifiants

pubmed: 32962927
pii: S1472-6483(20)30439-9
doi: 10.1016/j.rbmo.2020.08.006
pii:
doi:

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1045-1053

Informations de copyright

Copyright © 2020 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Auteurs

Celine Blank (C)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands; Department of Reproductive Medicine, Ghent University Hospital, De Pintelaan 185, Ghent 9000, Belgium. Electronic address: celineblank@Icloud.com.

Federica Sammali (F)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands.

Nienke Kuijsters (N)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands; Department of Obstetrics and Gynaecology, Catharina Hospital, Eindhoven, Michelangelolaan 2 EJ 5623, the Netherlands.

Yizhou Huang (Y)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands.

Chiara Rabotti (C)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands.

Petra de Sutter (P)

Department of Reproductive Medicine, Ghent University Hospital, De Pintelaan 185, Ghent 9000, Belgium.

Massimo Mischi (M)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands.

Benedictus Schoot (B)

Department of Electrical Engineering, Signal Processing Systems: Biomedical Diagnostics Group, Eindhoven University of Technology, Eindhoven, 19, Flux, Postbus 513 MB 5600, the Netherlands; Department of Reproductive Medicine, Ghent University Hospital, De Pintelaan 185, Ghent 9000, Belgium; Department of Obstetrics and Gynaecology, Catharina Hospital, Eindhoven, Michelangelolaan 2 EJ 5623, the Netherlands.

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Classifications MeSH