Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis

BACKGROUND: Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical shape modeling for morphological analysis of the defects. METHODS: Models (n = 15) reconstruc...

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Detalles Bibliográficos
Autores principales: Asif, Ashar, Shearn, Andrew IU, Turner, Mark S, Ordoñez, Maria V, Sophocleous, Froso, Mendez-Santos, Ana, Valverde, Israel, Angelini, Gianni D, Caputo, Massimo, Hamilton, Mark CK, Biglino, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2023
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990116/
https://www.ncbi.nlm.nih.gov/pubmed/36911812
http://dx.doi.org/10.2217/3dp-2022-0012
Descripción
Sumario:BACKGROUND: Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical shape modeling for morphological analysis of the defects. METHODS: Models (n = 15) reconstructed from computed tomography data were evaluated by clinicians (n = 8). Statistical shape modeling was performed on 3D meshes to calculate the mean morphological configuration of the defects. RESULTS: Clinicians’ evaluation highlighted the models’ utility in displaying defects for interventional/surgical planning, education/training and device development. However, models lack dynamic representation. Morphological analysis was feasible and revealed oval-shaped (n = 12) and complex channel-like (n = 3) defects. CONCLUSION: 3D-PIVSD models can complement imaging data for teaching and procedural planning. Statistical shape modeling is feasible in this scenario.

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