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Computer modeling tools to understand the causes of preterm birth
Andrea R Westervelt1, Kristin M Myers1
1Department of Mechanical Engineering, School of Engineering and Applied Science, Columbia University, 500 W, 120th St, Mudd 220, New York, NY 10027.
Seminars in Perinatology
|September 30, 2017
Summary
Mechanical forces on the uterus, cervix, and membranes are key to pregnancy. Engineering tools like computational biomechanics can help predict preterm birth by analyzing these mechanical loads.
Area of Science:
- Biomedical Engineering
- Maternal-Fetal Medicine
- Computational Mechanics
Background:
- The mechanical integrity of soft tissues supporting the fetus is crucial for healthy pregnancy and labor onset.
- Current understanding of mechanical loading on the uterus, cervix, and fetal membranes during pregnancy is limited.
- Tissue over-stretch is hypothesized to contribute to preterm birth through increased contractility, remodeling, and membrane rupture.
Purpose of the Study:
- To review engineering analysis tools for evaluating and predicting mechanical loads on key pregnancy tissues.
- To explore the use of computational biomechanics and finite element analysis in studying preterm birth.
- To identify potential engineering variables for signaling abnormal pregnancies and developing predictive diagnostic tools.
Main Methods:
- Review of engineering analysis tools, specifically computational biomechanics and finite element analysis.
- Discussion of defining engineering terms and identifying relevant engineering variables.
- Exploration of model validation processes and limitations.
Main Results:
- Engineering analysis tools offer potential for evaluating mechanical loads during pregnancy.
- Computational models can aid in understanding preterm birth mechanisms.
- Identification of engineering variables may lead to predictive diagnostic tools for gestational outcomes.
Conclusions:
- Computational biomechanics and finite element analysis provide promising avenues for preterm birth research.
- Translational ability of computational models can improve clinical patient management.
- Interdisciplinary approaches, borrowing from parallel engineering fields, can advance patient care and work towards eliminating preterm birth.
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