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Integration of Clinical Data Collected at Different Times for Virtual Surgery in Single Ventricle Patients: A Case Study

Abstract : Newborns with single ventricle physiology are usually palliated with a multi-staged procedure. When cardiovascular complications e.g., collateral vessel formation occur during the inter-stage periods, further treatments are required. An 8-month-old patient, who underwent second stage (i.e., bi-directional Glenn, BDG) surgery at 4 months, was diagnosed with a major veno-venous collateral vessel (VVC) which was endovascularly occluded to improve blood oxygen saturations. Few clinical data were collected at 8 months, whereas at 4 months a more detailed data set was available. The aim of this study is threefold: (i) to show how to build a patient-specific model describing the hemodynamics in the presence of VVC, using patient-specific clinical data collected at different times; (ii) to use this model to perform virtual VVC occlusion for quantitative hemodynamics prediction; and (iii) to compare predicted hemodynamics with post-operative measurements. The three-dimensional BDG geometry, resulting from the virtual surgery on the first stage model, was coupled with a lumped parameter model (LPM) of the 8-month patient's circulation. The latter was developed by scaling the 4-month LPM to account for changes in vascular impedances due to growth and adaptation. After virtual VVC closure, the model confirmed the 2 mmHg BDG pressure increase, as clinically observed, suggesting the importance of modeling vascular adaptation following the BDG procedure.
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Submitted on : Monday, January 5, 2015 - 1:38:05 PM
Last modification on : Friday, December 2, 2022 - 5:50:05 PM
Long-term archiving on: : Monday, April 6, 2015 - 10:30:43 AM


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  • HAL Id : hal-01097802, version 1
  • PUBMED : 25344350


Chiara Corsini, Catriona Baker, Alessia Baretta, Giovanni Biglino, Anthony M. Hlavacek, et al.. Integration of Clinical Data Collected at Different Times for Virtual Surgery in Single Ventricle Patients: A Case Study. Annals of Biomedical Engineering, 2014, pp.11. ⟨hal-01097802⟩



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