Y. Vallet , J. Lefebvre , C. Bertholdt , A. Baldit , R. Rahouadj , O. Morel , C. Laurent
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引用次数: 0
Abstract
Background
Vacuum-assisted delivery is widely used in operative vaginal deliveries but carries a risk of rare yet severe complications. Computational simulations offer a promising way to improve our understanding of the mechanisms underlying these injuries. However, these simulations remain insufficiently validated experimentally and have not yet been applied to vacuum extraction. This study aims to evaluate the reliability of these methods using a simplified training dummy and to demonstrate their educational potential by analyzing key parameters of the clinical procedure.
Methods
Reliability was assessed using a birth simulator by comparing predicted extraction forces (derived from computational simulations using the finite element method) with experimental measurements obtained from vacuum extractions performed using a Kiwi® cup on a training dummy mounted on a force platform (N = 16). The model was then used to investigate how prescribed trajectory, suction cup position, and fetal head size influence both extraction forces and maximum strain in external deformable tissues.
Findings
The maximal extraction force predicted by computational simulations was 42.3 N, while it ranged between 46.1 N and 85.3 N (mean 67.5 ± 13.3 N, N = 16) experimentally. Similar trends in the force components were obtained through the whole extraction trajectory. The most downward trajectory was shown to minimize extraction force and maximal perineal tissue strain, as well as achieving the most occipital cup placement, in line with reported recommendations.
Interpretation
Results demonstrated that computational simulations could reliably predict extraction forces during birth simulations on a training dummy, while also revealing associated uncertainties and a tendency to underestimate extraction forces. Simulations of various scenarios provided valuable insights that could enhance obstetrics training and complement existing methods. Although not intended for direct clinical translation, this study evaluates the relevance of computational modelling in a controlled, simulation-based training context.
期刊介绍:
Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field.
The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management.
A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly.
Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians.
The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time.
Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.