Modeling childbirth: elucidating the mechanisms of labor
The process of childbirth and the mechanisms of labor have been studied for over a century, beginning with simple measurements of fetal skull and maternal pelvis dimensions. More recently, X‐rays, ultrasound, and magnetic resonance imaging have been used to try and quantify the biomechanics of labor...
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Veröffentlicht in: | Wiley interdisciplinary reviews. Mechanisms of disease 2010-07, Vol.2 (4), p.460-470 |
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Zusammenfassung: | The process of childbirth and the mechanisms of labor have been studied for over a century, beginning with simple measurements of fetal skull and maternal pelvis dimensions. More recently, X‐rays, ultrasound, and magnetic resonance imaging have been used to try and quantify the biomechanics of labor. With the development of computational technologies, biomechanical models have emerged as a quantitative analysis tool for modeling childbirth. These methods are well known for their capabilities to analyze function at the organ scale. This review provides an overview of the state‐of‐the‐art finite element models of the mechanics of vaginal delivery, with detailed descriptions of the data sources, modeling frameworks, and results. We also discuss the limitations and improvements required in order for the models to be more accurate and clinically useful. Some of the major challenges include: modeling the complex geometry of the maternal pelvic floor muscles and fetal head motion during the second stage of labor; the lack of experimental data on the pelvic floor structures; and development of methods for clinical validation. To date, models have had limited success in helping clinicians understand possible factors leading to birth‐induced pelvic floor muscle injuries and dysfunction. However, much more can be achieved with further development of these quantitative modeling frameworks, such as tools for birth planning and medical education. Copyright © 2009 John Wiley & Sons, Inc.
This article is categorized under:
Models of Systems Properties and Processes > Mechanistic Models |
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ISSN: | 1939-5094 1939-005X 2692-9368 |
DOI: | 10.1002/wsbm.65 |