King's College London

Research portal

Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients

Research output: Chapter in Book/Report/Conference proceedingConference paper

Standard

Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients. / Ruijsink, Bram; Zugaj, Konrad; Pushparajah, Kuberan; Chabiniok, Radomír.

Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. ed. / Valéry Ozenne; Edward Vigmond; Yves Coudière; Nejib Zemzemi. 2019. p. 379-387 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11504 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Ruijsink, B, Zugaj, K, Pushparajah, K & Chabiniok, R 2019, Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients. in V Ozenne, E Vigmond, Y Coudière & N Zemzemi (eds), Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11504 LNCS, pp. 379-387, Functional Imaging and Modeling of Heart 2019, Bordeaux, France, 6/06/2019. https://doi.org/10.1007/978-3-030-21949-9_41

APA

Ruijsink, B., Zugaj, K., Pushparajah, K., & Chabiniok, R. (2019). Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients. In V. Ozenne, E. Vigmond, Y. Coudière, & N. Zemzemi (Eds.), Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings (pp. 379-387). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11504 LNCS). https://doi.org/10.1007/978-3-030-21949-9_41

Vancouver

Ruijsink B, Zugaj K, Pushparajah K, Chabiniok R. Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients. In Ozenne V, Vigmond E, Coudière Y, Zemzemi N, editors, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. 2019. p. 379-387. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-21949-9_41

Author

Ruijsink, Bram ; Zugaj, Konrad ; Pushparajah, Kuberan ; Chabiniok, Radomír. / Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients. Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. editor / Valéry Ozenne ; Edward Vigmond ; Yves Coudière ; Nejib Zemzemi. 2019. pp. 379-387 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex Download

@inbook{bd768386a20f450a82600432c2d713ae,
title = "Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients",
abstract = "Investigating the causes of failure of Fontan circulation in individual patients remains challenging despite detailed combined invasive cardiac catheterisation and magnetic resonance (XMR) exams at rest and during stress. In this work, we use a biomechanical model of the heart and Fontan circulation with the components of systemic and pulmonary beds to augment the diagnostic assessment of the patients undergoing the XMR stress exam. We apply our model in 3 Fontan patients and one biventricular ``control{"} case. In all subjects, we obtained important biophysical factors of cardiovascular physiology -- contractility, contractile reserve and changes in systemic and pulmonary vascular resistance -- which contribute to explaining the mechanism of failure in individual patients. Finally, we used the patient-specific model of one Fontan patient to investigate the impact of changes in pulmonary vascular resistance, aiming at in silico testing of pulmonary vasodilation treatments.",
keywords = "Dobutamine stress, Fontan circulation, Heart failure, Pulmonary vascular resistance, Pulmonary vasodilation therapy",
author = "Bram Ruijsink and Konrad Zugaj and Kuberan Pushparajah and Radom{\'i}r Chabiniok",
year = "2019",
month = jun,
day = "6",
doi = "10.1007/978-3-030-21949-9_41",
language = "English",
isbn = "9783030219482",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "379--387",
editor = "Val{\'e}ry Ozenne and Edward Vigmond and Yves Coudi{\`e}re and Nejib Zemzemi",
booktitle = "Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings",
note = "Functional Imaging and Modeling of Heart 2019, FIMH2019 ; Conference date: 06-06-2019 Through 08-06-2019",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Model-based indices of early-stage cardiovascular failure and its therapeutic management in Fontan patients

AU - Ruijsink, Bram

AU - Zugaj, Konrad

AU - Pushparajah, Kuberan

AU - Chabiniok, Radomír

PY - 2019/6/6

Y1 - 2019/6/6

N2 - Investigating the causes of failure of Fontan circulation in individual patients remains challenging despite detailed combined invasive cardiac catheterisation and magnetic resonance (XMR) exams at rest and during stress. In this work, we use a biomechanical model of the heart and Fontan circulation with the components of systemic and pulmonary beds to augment the diagnostic assessment of the patients undergoing the XMR stress exam. We apply our model in 3 Fontan patients and one biventricular ``control" case. In all subjects, we obtained important biophysical factors of cardiovascular physiology -- contractility, contractile reserve and changes in systemic and pulmonary vascular resistance -- which contribute to explaining the mechanism of failure in individual patients. Finally, we used the patient-specific model of one Fontan patient to investigate the impact of changes in pulmonary vascular resistance, aiming at in silico testing of pulmonary vasodilation treatments.

AB - Investigating the causes of failure of Fontan circulation in individual patients remains challenging despite detailed combined invasive cardiac catheterisation and magnetic resonance (XMR) exams at rest and during stress. In this work, we use a biomechanical model of the heart and Fontan circulation with the components of systemic and pulmonary beds to augment the diagnostic assessment of the patients undergoing the XMR stress exam. We apply our model in 3 Fontan patients and one biventricular ``control" case. In all subjects, we obtained important biophysical factors of cardiovascular physiology -- contractility, contractile reserve and changes in systemic and pulmonary vascular resistance -- which contribute to explaining the mechanism of failure in individual patients. Finally, we used the patient-specific model of one Fontan patient to investigate the impact of changes in pulmonary vascular resistance, aiming at in silico testing of pulmonary vasodilation treatments.

KW - Dobutamine stress

KW - Fontan circulation

KW - Heart failure

KW - Pulmonary vascular resistance

KW - Pulmonary vasodilation therapy

UR - http://www.scopus.com/inward/record.url?scp=85067208869&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-21949-9_41

DO - 10.1007/978-3-030-21949-9_41

M3 - Conference paper

SN - 9783030219482

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 379

EP - 387

BT - Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings

A2 - Ozenne, Valéry

A2 - Vigmond, Edward

A2 - Coudière, Yves

A2 - Zemzemi, Nejib

T2 - Functional Imaging and Modeling of Heart 2019

Y2 - 6 June 2019 through 8 June 2019

ER -

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454