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Dataset Information

In silico analysis provides insights for patient-specific annuloplasty in Barlow's disease.


ABSTRACT:

Objective

To predict the required mitral annular area reduction in patients with Barlow's disease to obtain a predefined leaflet area index by a novel in silico modeling method.

Methods

Three-dimensional echocardiography was used to create patient-specific mitral valve models of 8 patients diagnosed with Barlow's disease and bileaflet prolapse preoperatively. Six patients were also studied postoperatively in a finite element framework, to quantify the optimal coaptation area index. For the patient-specific finite element analyses, realistic papillary muscle and annular motion are incorporated, also for the in silico annuloplasty analyses. The annuloplasty ring size is reduced moderately until the optimal coaptation area index is achieved for each patient.

Results

The

SUBMITTER: Aguilera HM 

PROVIDER: S-EPMC10091287 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature