Back to Search Start Over

A 3D Statistical Shape Model of the Right Ventricular Outflow Tract in Pulmonary Valve Replacement Patients Post-Surgical Repair.

Authors :
Swanson L
Sivera R
Capelli C
Alosaimi A
Mroczek D
Lam CZ
Cook A
Chaturvedi RR
Schievano S
Source :
Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2024 Oct 17; Vol. 11 (10). Date of Electronic Publication: 2024 Oct 17.
Publication Year :
2024

Abstract

Assessment of the right ventricular outflow tract and pulmonary arteries (RVOT) for percutaneous pulmonary valve implantation (PPVI) uses discrete measurements (diameters and lengths) from medical images. This multi-centre study identified the 3D RVOT shape features prevalent in patients late after surgical repair of congenital heart disease (CHD). A 3D RVOT statistical shape model (SSM) was computed from 81 retrospectively selected CHD patients (14.7 ± 6.8 years) who required pulmonary valve replacement late after surgical repair. A principal component analysis identified prevalent shape features (modes) within the population which were compared with standard geometric measurements (diameter, length and surface area) and between sub-groups of diagnosis, RVOT type and dysfunction. Shape mode 1 and 2 represented RVOT size and curvature and tapering and length, respectively. Shape modes 3-5 related to branch pulmonary artery calibre, conical vs. bulbous RVOTs and RVOT curvature, respectively. Tetralogy of Fallot, transannular patch type and regurgitant RVOTs were larger and straighter while conduit and stenotic types were longer and more cylindrical than other subgroups. This SSM analysed the main 3D shape features present in a population of RVOTs, exploiting the wide 3D anatomical information provided by routine imaging. This morphological information may have implications for PPVI patient selection and device design.

Details

Language :
English
ISSN :
2308-3425
Volume :
11
Issue :
10
Database :
MEDLINE
Journal :
Journal of cardiovascular development and disease
Publication Type :
Academic Journal
Accession number :
39452300
Full Text :
https://doi.org/10.3390/jcdd11100330