Literature DB >> 27567400

An electro-mechanical multiscale model of uterine pregnancy contraction.

Maxime Yochum1, Jérémy Laforêt2, Catherine Marque2.   

Abstract

Detecting preterm labor as early as possible is important because tocolytic drugs are much more likely to delay preterm delivery if administered early. Having good information on the real risk of premature labor also leads to fewer women who do not need aggressive treatment for premature labor threat. Currently, one of the most promising ways to diagnose preterm labor threat is the analysis of the electrohysterogram (EHG). Its characteristics have been related to preterm labor risk but they have not proven to be sufficiently accurate to use in clinical routine. One of the reasons for this is that the physiology of the pregnant uterus is insufficiently understood. Models already exist in literature that simulate either the electrical or the mechanical component of the uterine smooth muscle. Few include both components in a co-simulation of electrical and mechanical aspects. A model that can represent realistically both the electrical and the mechanical behavior of the uterine muscle could be useful for better understanding the EHG and therefore for preterm labor detection. Processing the EHG considers only the electrical component of the uterus but the electrical activity does not seem to explain by itself the synchronization of the uterine muscle that occurs during labor and not at other times. Recent studies have demonstrated that the mechanical behavior of the uterine muscle seems to play an important role in uterus synchronization during labor. The aim of the proposed study is to link three different models of the uterine smooth muscle behavior by using co-simulation. The models go from the electrical activity generated at the cellular level to the mechanical force generated by the muscle and from there to the deformation of the tissue. The results show the feasibility of combining these three models to model a whole uterus contraction on 3D realistic uterus model.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Co-simulation; Multi-physic; Multiscale; Uterine model

Mesh:

Year:  2016        PMID: 27567400     DOI: 10.1016/j.compbiomed.2016.08.001

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

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Authors:  Hui Wang; Yong Wang
Journal:  Med Biol Eng Comput       Date:  2020-05-26       Impact factor: 2.602

2.  Review and Study of Uterine Bioelectrical Waveforms and Vector Analysis to Identify Electrical and Mechanosensitive Transduction Control Mechanisms During Labor in Pregnant Patients.

Authors:  R E Garfield; Lauren Murphy; Kendra Gray; Bruce Towe
Journal:  Reprod Sci       Date:  2020-10-22       Impact factor: 3.060

3.  Mechanical Effects of a Maylard Scar During a Vaginal Birth After a Previous Caesarean.

Authors:  D S Fidalgo; M C P Vila Pouca; D A Oliveira; E Malanowska; K M Myers; R M Natal Jorge; M P L Parente
Journal:  Ann Biomed Eng       Date:  2021-06-10       Impact factor: 3.934

Review 4.  Forces Involved with Labor and Delivery-A Biomechanical Perspective.

Authors:  Michele J Grimm
Journal:  Ann Biomed Eng       Date:  2021-01-11       Impact factor: 3.934

Review 5.  Physiology and Pathology of Contractility of the Myometrium.

Authors:  Antonios Koutras; Zacharias Fasoulakis; Athanasios Syllaios; Nikolaos Garmpis; Michail Diakosavvas; Athanasios Pagkalos; Thomas Ntounis; Emmanuel N Kontomanolis
Journal:  In Vivo       Date:  2021-04-28       Impact factor: 2.406

6.  Characterization and automatic classification of preterm and term uterine records.

Authors:  Franc Jager; Sonja Libenšek; Ksenija Geršak
Journal:  PLoS One       Date:  2018-08-28       Impact factor: 3.240

7.  Toward noninvasive monitoring of ongoing electrical activity of human uterus and fetal heart and brain.

Authors:  S Lew; M S Hämäläinen; Y Okada
Journal:  Clin Neurophysiol       Date:  2017-09-19       Impact factor: 3.708

8.  A myofibre model for the study of uterine excitation-contraction dynamics.

Authors:  Uri Goldsztejn; Arye Nehorai
Journal:  Sci Rep       Date:  2020-10-01       Impact factor: 4.379

  8 in total

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