A computational model of the fetal circulation to quantify blood redistribution in intrauterine growth restriction

Patricia Garcia-Canadilla1, Paula A Rudenick2, Fatima Crispi3

  • 1BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), IDIBAPS, University of Barcelona, and Centre for Biomedical Research on Rare Diseases (CIBER-ER), Barcelona, Spain; Physense, DTIC, Universitat Pompeu Fabra, Barcelona, Spain.

Insights

Computational models help understand fetal blood flow changes in intrauterine growth restriction (IUGR). This research quantifies how aortic isthmus (AoI) and middle cerebral artery (MCA) flows adapt, aiding clinical assessment of brain sparing effects in IUGR fetuses.

Area of Science:

  • Fetal Physiology
  • Cardiovascular Computational Modeling
  • Medical Engineering

Background:

  • Intrauterine growth restriction (IUGR) from placental insufficiency causes fetal blood flow redistribution to protect the brain.
  • The aortic isthmus (AoI) is crucial for assessing this "brain sparing" effect, but its determinants are not fully understood.
  • Computational models can investigate hemodynamic remodeling factors not directly measurable in vivo.

Purpose of the Study:

  • To develop and validate a personalized computational model of the fetal circulation.
  • To investigate the impact of cerebral and peripheral-placental resistances on AoI and middle cerebral artery (MCA) blood flow.
  • To quantify hemodynamic changes in fetuses with varying degrees of IUGR.

Main Methods:

  • Developed a computational model of fetal circulation incorporating key redistribution elements.
  • Calibrated the model using patient-specific Doppler data from a healthy fetus.
  • Simulated variations in cerebral and placental resistances and fitted the model to IUGR cases.

Main Results:

  • The model accurately approximates fetal blood flow changes.
  • MCA flow is primarily affected by reduced cerebral resistance.
  • AoI flow is modulated by a balance between increased placental resistance and decreased cerebral resistance.

Conclusions:

  • The computational model offers a valuable tool for assessing fetal circulation dynamics in IUGR.
  • Understanding the interplay of resistances provides insights into fetal adaptation mechanisms.
  • Personalized modeling can quantify cerebral and placental remodeling, potentially improving clinical management of IUGR.

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