Chappell, Joanna;
Aughwane, Rosalind;
Clark, Alys R;
Ourselin, Sebastien;
David, Anna L;
Melbourne, Andrew;
(2023)
A review of feto-placental vasculature flow modelling.
Placenta
, 142
pp. 56-63.
10.1016/j.placenta.2023.08.068.
(In press).
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Abstract
The placenta provides the vital nutrients and removal of waste products required for fetal growth and development. Understanding and quantifying the differences in structure and function between a normally functioning placenta compared to an abnormal placenta is vital to provide insights into the aetiology and treatment options for fetal growth restriction and other placental disorders. Computational modelling of blood flow in the placenta allows a new understanding of the placental circulation to be obtained. This structured review discusses multiple recent methods for placental vascular model development including analysis of the appearance of the placental vasculature and how placental haemodynamics may be simulated at multiple length scales.
| Type: | Article |
|---|---|
| Title: | A review of feto-placental vasculature flow modelling |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.placenta.2023.08.068 |
| Publisher version: | https://doi.org/10.1016/j.placenta.2023.08.068 |
| Language: | English |
| Additional information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
| Keywords: | Placenta, Computational modelling, Placenta flow modelling, Placental haemodynamics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Maternal and Fetal Medicine |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10175934 |
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