Authors:

Jackson Roberson

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About Paper:

Hypoplastic lung syndrome, or pulmonary hypoplasia, is a congenital abnormality in which the lung does not fully develop. Given the critical importance of lung function, this is usually a significant threat to the newborn once they begin to breathe on their own. Currently, a metric known as the lung-to-head ratio (LHR) is used to assess the severity of lung hypoplasia. While the LHR metric is useful, it falls short when distinguishing outcomes for a wide range of cases between the highest and lowest severity of the condition. Given the accessibility of non-invasive and non-ionizing imaging modalities, we investigated how a computational approach using pulmonary geometry derived from the fetal patient could yield a more precise risk stratification. Since lung function is tied directly to gas exchange in the bloodstream, we isolated the pulmonary arteries to simulate blood flow. Real patient imaging and anatomical structures were obtained from open source repositories and from fetal and neonate MRIs provided by Texas Children's Hospital. Computational fluid dynamics was then utilized to simulate blood flow within the pulmonary arteries. The inlet boundary conditions were determined based on patient-derived flow profiles, and the distal vasculature was approximated by using a lumped parameter model. We anticipate the results indicating that the resolution of the imaging modality will make it difficult to accurately and properly segment the fetal vascular geometries. Despite this, we hope that simulations done on the geometries of one day old neonates will yield outputs that allow for better stratification of outcomes, and justify obtaining higher resolution medical imaging in utero for analysis before birth. Poster #5 Emotional Upregulation in High and Low Stress Environments: An ERP Study Tara M. Driskill

Source:

Texas A&M University / 2024

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Co-authors:

Jackson Roberson