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Model-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement
Kelm, M. ;  Goubergrits, L. ;  Bruening, J. ;  Yevtushenko, P. ;  Fernandes, J. F. ;  Suendermann, S. H. ;  Berger, F. ;  Falk ;  Kuehne, T. ;  Nordmeyer, S.

HaupttitelModel-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement
AutorKelm, M.
AutorGoubergrits, L.
AutorBruening, J.
AutorYevtushenko, P.
AutorFernandes, J. F.
AutorSuendermann, S. H.
AutorBerger, F.
AutorFalk
AutorKuehne, T.
AutorNordmeyer, S.
Seitenzahl12 S.
Freie SchlagwörterExperimental models of disease; Translational research; Valvular disease
DDC610 Medizin und Gesundheit
Auch erschienen inScientific Reports. - 7 (2017) , Artikel Nr. 9897
ZusammenfassungOptimizing treatment planning is essential for advances in patient care and outcomes. Precisely tailored therapy for each patient remains a yearned-for goal. Cardiovascular modelling has the potential to simulate and predict the functional response before the actual intervention is performed. The objective of this study was to proof the validity of model-based prediction of haemodynamic outcome after aortic valve replacement. In a prospective study design virtual (model-based) treatment of the valve and the surrounding vasculature were performed alongside the actual surgical procedure (control group). The resulting predictions of anatomic and haemodynamic outcome based on information from magnetic resonance imaging before the procedure were compared to post-operative imaging assessment of the surgical control group in ten patients. Predicted vs. post-operative peak velocities across the valve were comparable (2.97 ± 1.12 vs. 2.68 ± 0.67 m/s; p = 0.362). In wall shear stress (17.3 ± 12.3 Pa vs. 16.7 ± 16.84 Pa; p = 0.803) and secondary flow degree (0.44 ± 0.32 vs. 0.49 ± 0.23; p = 0.277) significant linear correlations (p < 0.001) were found between predicted and post-operative outcomes. Between groups blood flow patterns showed good agreement (helicity p = 0.852, vorticity p = 0.185, eccentricity p = 0.333). Model-based therapy planning is able to accurately predict post-operative haemodynamics after aortic valve replacement. These validated virtual treatment procedures open up promising opportunities for individually targeted interventions.
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Fachbereich/EinrichtungMedizinische Fakultät Charité - Universitätsmedizin Berlin
Erscheinungsjahr2017
Dokumententyp/-SammlungenWissenschaftlicher Artikel
SpracheEnglisch
RechteCreative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Anmerkungen des AutorsDer Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
Erstellt am29.09.2017 - 09:56:43
Letzte Änderung29.09.2017 - 10:02:32
 
Statische URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000028058
DOI10.1038/s41598-017-03693-x
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