Publication
Title
Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation
Author
Abstract
During a transcatheter aortic valve implantation, an axisymmetric implant is placed in an irregularly shaped aortic root. Implanting an incorrect size can cause complications such as leakage of blood alongside or through the implant. The aim of this study was to construct a method that determines the optimal size of the implant based on the three-dimensional shape of the aortic root. Based on the pre-interventional computed tomography scan of 89 patients, a statistical shape model of their aortic root was constructed. The weights associated with the principal components and the volume of calcification in the aortic valve were used as parameters in a classification algorithm. The classification algorithm was trained using the patients with no or mild leakage after their intervention. Subsequently, the algorithms were applied to the patients with moderate to severe leakage. Cross validation showed that a random forest classifier assigned the same size in 65 ± 7% of the training cases, while 57 ± 8% of the patients with moderate to severe leakage were assigned a different size. This initial study showed that this semi-automatic method has the potential to correctly assign an implant size. Further research is required to assess whether the different size implants would improve the outcome of those patients.
Language
English
Source (journal)
Medical and biological engineering and computing. - Oxford
Publication
Oxford : 2019
ISSN
0140-0118 [print]
1741-0444 [online]
DOI
10.1007/S11517-019-01996-X
Volume/pages
57 :10 (2019) , p. 2081-2092
ISI
000498052200001
Pubmed ID
31353427
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Evaluation of percutaneous valves.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 25.10.2019
Last edited 02.10.2024
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