dc.contributor.author
Franke, Benedikt
dc.contributor.author
Weese, J.
dc.contributor.author
Waechter-Stehle, I.
dc.contributor.author
Brüning, Jan
dc.contributor.author
Kuehne, Titus
dc.contributor.author
Goubergrits, Leonid
dc.date.accessioned
2022-10-11T09:59:12Z
dc.date.available
2022-10-11T09:59:12Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/36538
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-36251
dc.description.abstract
The transvalvular pressure gradient (TPG) is commonly estimated using the Bernoulli equation. However, the method is known to be inaccurate. Therefore, an adjusted Bernoulli model for accurate TPG assessment was developed and evaluated. Numerical simulations were used to calculate TPGCFD in patient-specific geometries of aortic stenosis as ground truth. Geometries, aortic valve areas (AVA), and flow rates were derived from computed tomography scans. Simulations were divided in a training data set (135 cases) and a test data set (36 cases). The training data was used to fit an adjusted Bernoulli model as a function of AVA and flow rate. The model-predicted TPGModel was evaluated using the test data set and also compared against the common Bernoulli equation (TPGB). TPGB and TPGModel both correlated well with TPGCFD (r > 0.94), but significantly overestimated it. The average difference between TPGModel and TPGCFD was much lower: 3.3 mmHg vs. 17.3 mmHg between TPGB and TPGCFD. Also, the standard error of estimate was lower for the adjusted model: SEEModel = 5.3 mmHg vs. SEEB = 22.3 mmHg. The adjusted model's performance was more accurate than that of the conventional Bernoulli equation. The model might help to improve non-invasive assessment of TPG. Graphical abstract Processing pipeline for the definition of an adjusted Bernoulli model for the assessment of transvalvular pressure gradient. Using CT image data, the patient specific geometry of the stenosed AVs were reconstructed. Using this segmentation, the AVA as well as the volume flow rate was calculated and used for model definition. This novel model was compared against classical approaches on a test data set, which was not used for the model definition.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Aortic valve stenosis
en
dc.subject
Bernoulli equation
en
dc.subject
Computational fluid dynamics
en
dc.subject
Aortic valve area
en
dc.subject
Transvalvular pressure gradient
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s11517-020-02186-w
dcterms.bibliographicCitation.journaltitle
Medical & Biological Engineering & Computing
dcterms.bibliographicCitation.number
8
dcterms.bibliographicCitation.originalpublishername
Springer Nature
dcterms.bibliographicCitation.pagestart
1667
dcterms.bibliographicCitation.pageend
1679
dcterms.bibliographicCitation.volume
58
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
Springer Nature DEAL
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
32451697
dcterms.isPartOf.issn
0140-0118
dcterms.isPartOf.eissn
1741-0444